ORIGINAL_ARTICLE
Influence of Different Culture Selection Methods on Polyhydroxyalkanoate Production at Short-term Biomass Enrichment
In this study, the potential of four different culture selection methods under short-term enrichment time (STE) to accumulate PHA-producing bacteria in mixed activated sludge was compared and the most efficient culture selection method was introduced. This means, PHA-producing microbial community was firstly enriched in a sequencing batch bioreactor (SBR) with four different selection methods including an anaerobic-aerobic process (SBR1), a fully aerobic batch process (SBR2), an uncoupled carbon and nitrogen feeding regime (SBR3) and aerobic/anoxic process (SBR4). In the next step, cellular PHA content was maximized in a fed-batch accumulator. From the obtained results, PHA could be accumulated up to 13.2, 10.8, 22.36, and 6 % (mg-PHA/mg-TSS) in SBR1, SBR2, SBR3, and SBR4, respectively. Uncoupled carbon and nitrogen feeding regime (SBR3) showed the best PHA accumulating ability when acetate was used as feed. Also, the SBR3 was fed by soft-drink industrial wastewater to evaluate the capability of the selected strategy for treating real wastewater, which 13.75% of mg-PHA/mg-TSS was achieved.
https://www.ije.ir/article_82474_6b761294fcf74528f8bd280f6d7b6695.pdf
2019-02-01
184
192
Polyhydroxyalkanoate
Short-term enrichment time (STE)
Acetate
Soft-drink industrial wastewater
F.
Ahmadi
1
Environmental Research Center (ERC), Department of Applied Chemistry, Faculty of Chemistry, Razi University, Kermanshah, Iran.
AUTHOR
A. A.
Zinatizadeh
zinatizadeh@razi.ac.ir
2
Environmental research Center (ERC), Department of Applied Chemistry, Faculty of Chemistry, Razi University, Kermanshah, Iran
LEAD_AUTHOR
A.
Asadi
3
Department of Gas and Petroleum, Yasouj University, Gachsaran, Iran.
AUTHOR
H.
Younesi
hunesi@yahoo.com
4
Department of Environmental science, Faculty of Natural resources and Marine Science, Tarbiat Modares University, Noor, Iran.
AUTHOR
1. Morgan-Sagastume, F., Hjort, M., Cirne, D., Gérardin, F., Lacroix, S., Gaval, G., Karabegovic, L., Alexandersson, T., Johansson, P., and Karlsson, A., “Integrated production of polyhydroxyalkanoates (PHAs) with municipal wastewater and sludge treatment at pilot scale”, Bioresource Technology, Vol. 181, (2015), 78–89.
1
2. Mumtaz, T., Yahaya, N.A., Abd-Aziz, S., Yee, P.L., Shirai, Y., and Hassan, M.A., “Turning waste to wealth-biodegradable plastics polyhydroxyalkanoates from palm oil mill effluent – a Malaysian perspective”, Journal of Cleaner Production, Vol. 18, No. 14, (2010), 1393–1402.
2
3. Majone, M., Dircks, K., and Beim, J.J., “Aerobic storage under dynamic conditions in activated sludge processes. The state of the art”, Water Science and Technology, Vol. 39, No. 1, (1999), 61–73.
3
4. Rhu, D.H., Lee, W.H., Kim, J.Y., and Choi, E., “Polyhydroxyalkanoate (PHA) production from waste”, Water Science and Technology, Vol. 48, No. 8, (2003), 221–228.
4
5. Dionisi, D., Carucci, G., Papini, M.P., Riccardi, C., Majone, M., and Carrasco, F., “Olive oil mill effluents as a feedstock for production of biodegradable polymers”, Water Research, Vol. 39, No. 10, (2005), 2076–2084.
5
6. Bengtsson, S., Werker, A., Christensson, M., and Welander, T., “Production of polyhydroxyalkanoates by activated sludge treating a paper mill wastewater”, Bioresource Technology, Vol. 99, No. 3, (2008), 509–516.
6
7. Dionisi, D., Beccari, M., Di Gregorio, S., Majone, M., Papini, M.P., and Vallini, G., “Storage of biodegradable polymers by an enriched microbial community in a sequencing batch reactor operated at high organic load rate”, Journal of Chemical Technology & Biotechnology, Vol. 80, No. 11, (2005), 1306–1318.
7
8. Takabatake, H., Satoh, H., Mino, T., and Matsuo, T., “Recovery of biodegradable plastics from activated sludge process”, Water Science and Technology, Vol. 42, No. 3–4, (2000), 351–356.
8
9. Liu, C., Liu, D., Qi, Y., Zhang, Y., Liu, X., and Zhao, M., “The effect of anaerobic–aerobic and feast–famine cultivation pattern on bacterial diversity during poly-β-hydroxybutyrate production from domestic sewage sludge”, Environmental Science and Pollution Research, Vol. 23, No. 13, (2016), 12966–12975.
9
10. Satoh, H., Iwamoto, Y., Mino, T., and Matsuo, T., “Activated sludge as a possible source of biodegradable plastic”, Water Science and Technology, Vol. 38, No. 2, (1998), 103–109.
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11. Mino, T., van Loosdrecht, M.C.M., and Heijnen, J.J., “Microbiology and biochemistry of the enhanced biological phosphate removal process”, Water Research, Vol. 32, No. 11, (1998), 3193–3207.
11
12. Chua, A.S., Takabatake, H., Satoh, H., and Mino, T., “Production of polyhydroxyalkanoates (PHA) by activated sludge treating municipal wastewater: effect of pH, sludge retention time (SRT), and acetate concentration in influent”, Water Research, Vol. 37, No. 15, (2003), 3602–3611.
12
13. Salehizadeh, H., and Van Loosdrecht, M.C.M., “Production of polyhydroxyalkanoates by mixed culture: recent trends and biotechnological importance”, Biotechnology Advances, Vol. 22, No. 3, (2004), 261–279.
13
14. Beccari, M., Majone, M., Massanisso, P., and Ramadori, R., “A bulking sludge with high storage response selected under intermittent feeding”, Water Research, Vol. 32, No. 11, (1998), 3403–3413.
14
15. Dionisi, D., Majone, M., Tandoi, V., and Beccari, M., “Sequencing Batch Reactor: Influence of Periodic Operation on Performance of Activated Sludges in Biological Wastewater Treatment”, Industrial & Engineering Chemistry Research, Vol. 40, No. 23, (2001), 5110–5119.
15
16. Kumar, M.S., Mudliar, S., Reddy, K., and Chakrabarti, T, “Production of biodegradable plastics from activated sludge generated from a food processing industrial wastewater treatment plant”, Bioresource Technology, Vol. 95, No. 3, (2004), 327–330.
16
17. Johnson, K., Jiang, Y., Kleerebezem, R., Muyzer, G., and van Loosdrecht, M.C.M., “Enrichment of a Mixed Bacterial Culture with a High Polyhydroxyalkanoate Storage Capacity”, Biomacromolecules, Vol. 10, No. 4, (2009), 670–676.
17
18. Johnson, K., Kleerebezem, R., and van Loosdrecht, M.C.M., “Influence of the C/N ratio on the performance of polyhydroxybutyrate (PHB) producing sequencing batch reactors at short SRTs”, Water Research, Vol. 44, No. 7, (2010), 2141–2152.
18
19. Johnson, K., Kleerebezem, R., and van Loosdrecht, M.C.M., “Influence of ammonium on the accumulation of polyhydroxybutyrate (PHB) in aerobic open mixed cultures”, Journal of Biotechnology, Vol. 147, No. 2, (2010), 73–79.
19
20. Khumwanich, P., and Napathorn, S., “Polyhydroxyalkanoate production with a feast/famine feeding regime using sludge from wastewater treatment plants of the food and beverage industry”, Journal of Biobased Materials and Bioenergy , Vol. 8, No. 6, (2014), 641–647.
20
21. Oliveira, C.S.S., Silva, C.E., Carvalho, G., and Reis, M.A., “Strategies for efficiently selecting PHA producing mixed microbial cultures using complex feedstocks: Feast and famine regime and uncoupled carbon and nitrogen availabilities”, New Biotechnology, Vol. 37, (2017), 69–79.
21
22. APHA, Standard methods for the examination of water and wastewater, American Public Health Association, and American Water Works Association, (2005).
22
23. Braunegg, G., Sonnleitner, B., and Lafferty, R.M., “A rapid gas chromatographic method for the determination of poly-?-hydroxybutyric acid in microbial biomass”, European Journal of Applied Microbiology and Biotechnology, Vol. 6, No. 1, (1978), 29–37.
23
24. Wen, Q., Chen, Z., Tian, T., and Chen, W., “Effects of phosphorus and nitrogen limitation on PHA production in activated sludge”, Journal of Environmental Sciences, Vol. 22, No. 10, (2010), 1602–1607.
24
25. Kasemsap, C., and Wantawin, C., “Batch production of polyhydroxyalkanoate by low-polyphosphate-content activated sludge at varying pH”, Bioresource Technology, Vol. 98, No. 5, (2007), 1020–1027.
25
26. Bengtsson, S., “The utilization of glycogen accumulating organisms for mixed culture production of polyhydroxyalkanoates”, Biotechnology and Bioengineering, Vol. 104, No. 4, (2009), 698–708.
26
27. Dionisi, D., Majone, M., Papa, V., and Beccari, M., “Biodegradable polymers from organic acids by using activated sludge enriched by aerobic periodic feeding”, Biotechnology and Bioengineering, Vol. 85, No. 6, (2004), 569–579.
27
28. Md Din, M.F., Ujang, Z., van Loosdrecht, M.C.M., Ahmad, A., and Sairan, M.F., “Optimization of nitrogen and phosphorus limitation for better biodegradable plastic production and organic removal using single fed-batch mixed cultures and renewable resources”, Water Science and Technology, Vol. 53, No. 6, (2006), 15–20.
28
29. Huang, L., Chen, Z., Wen, Q., and Lee, D.-J., “Enhanced polyhydroxyalkanoate production by mixed microbial culture with extended cultivation strategy”, Bioresource Technology, Vol. 241, (2017), 802–811.
29
30. Campanari, S., Augelletti, F., Rossetti, S., Sciubba, F., Villano, M., and Majone, M., “Enhancing a multi-stage process for olive oil mill wastewater valorization towards polyhydroxyalkanoates and biogas production”, Chemical Engineering Journal, Vol. 317, (2017), 280–289.
30
31. Ahmadi, F., Zinatizadeh, A.A., and Asadi, A., “PHA production from wastewater by mixed microbial culture under short-term microbial enrichment”, Journal of Applied Research in Water and Wastewater, Vol. 5, No. 1, (2018), 389–391.
31
32. Guo, Z., Chen, Z., Wen, Q., Huang, L., Bakke, R., and Du, M., “Strategy to reduce the acclimation period for enrichment of PHA accumulating cultures”, Desalination and Water Treatment, Vol. 57, No. 60, (2016), 29286–29294.
32
ORIGINAL_ARTICLE
Fabrication of Nanoporous Functionalized Hydroxyapatite as High Performance Adsorbent for Acid Blue 25 Dye Removal
In this study, nanoporous hydroxyapatite was synthesized and functionalized via tetraethylenepentamine in order to obtain a novel adsorbent for efficient removal of Acid Blue 25 dye from aqueous solution. Functionalized hydroxyapatite was characterized by Fourier transform infrared spectroscopy (FTIR), X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), Energy Dispersive Spectroscopy (EDS), and N2 adsorption-desorption. Batch adsorption studies were performed to investigate the effect of various parameters such as pH, initial dye concentration, adsorbent dosage, contact time and temperature. The results illustrated that dye removal percentage was reduced with incrementing pH of the solution and dye concentration. Maximum removal of Acid Blue 25 in the solution having an initial dye concentration of 40 mg/L using 10 mg of adsorbent at 25 °C was 88%. Experimental kinetic data obeyed the pseudo second order model was appointed in 180 min. The Freundlich isotherm model also represented a suitable fit with adsorption data. The thermodynamic study was indicated that the adsorption process was spontaneous and exothermic. Results confirmed that FHAp adsorbent possesses the potential to be used as a suitable candidate for Acid Blue 25 Dye removal from aqueous solutions.
https://www.ije.ir/article_82476_09f6d62ffdfc097666a36cad4b2fb65c.pdf
2019-02-01
193
200
Hydroxyapatit
Dye removal
Adsorption
Nanoporous
F.
Darvishalipour
1
Faculty of Chemical Engineering, University of Mazandaran, Babolsar, Iran
AUTHOR
H.
Ghafouri Taleghani
h.taleghani@umz.ac.ir
2
Faculty of Chemical Engineering, University of Mazandaran, Babolsar, Iran
LEAD_AUTHOR
M.
Ghorbani
3
Faculty of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran
AUTHOR
H.
Salimi Kenari
4
Faculty of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran
AUTHOR
1. Anbia, M. and Ghaffari, A., "Modified nanoporous carbon material for anionic dye removal from aqueous solution", International Journal of Engineering-Transactions B: Applications, Vol. 25, No. 4, (2012), 259-268.
1
2. Ajemba, R., "Adsorption of malachite green from aqueous solution using activated ntezi clay: Optimization, isotherm and kinetic studies", International Journal of Engineering-Transactions C: Aspects, Vol. 27, No. 6, (2013), 839-854.
2
3. Al-Momani, F., Touraud, E., Degorce-Dumas, J., Roussy, J. and Thomas, O., "Biodegradability enhancement of textile dyes and textile wastewater by vuv photolysis", Journal of Photochemistry and Photobiology A: Chemistry, Vol. 153, No. 1-3, (2002), 191-197.
3
4. Ruthiraan, M., Abdullah, E., Mubarak, N. and Nizamuddin, S., "Adsorptive removal of methylene blue using magnetic biochar derived from agricultural waste biomass: Equilibrium, isotherm, kinetic study", International Journal of Nanoscience, Vol. 17, No. 05, (2018), 1850002.
4
5. Omidi-Khaniabadi, Y., Kamarehei, B., Nourmoradi, H., Goudarzi, G., Jourvand, M., Basiri, H. and Heidari, S., "Hexadecyl trimethyl ammonium bromide-modified montmorillonite as a low-cost sorbent for the removal of methyl red from liquid-medium", IJE transactions A: basics, Vol. 29, No. 1, (2016), 60-67.
5
6. Kousha, M., Daneshvar, E., Esmaeli, A., Jokar, M. and Khataee, A., "Optimization of acid blue 25 removal from aqueous solutions by raw, esterified and protonated jania adhaerens biomass", International Biodeterioration & Biodegradation, Vol. 69, No., (2012), 97-105.
6
7. Hanafiah, M.A.K.M., Ngah, W.S.W., Zolkafly, S.H., Teong, L.C. and Majid, Z.A.A., "Acid blue 25 adsorption on base treated shorea dasyphylla sawdust: Kinetic, isotherm, thermodynamic and spectroscopic analysis", Journal of Environmental Sciences, Vol. 24, No. 2, (2012), 261-268.
7
8. Yang, Y., Jin, D., Wang, G., Liu, D., Jia, X. and Zhao, Y., "Biosorption of acid blue 25 by unmodified and cpc-modified biomass of penicillium yw01: Kinetic study, equilibrium isotherm and ftir analysis", Colloids and Surfaces B: Biointerfaces, Vol. 88, No. 1, (2011), 521-526.
8
9. Auta, M. and Hameed, B., "Preparation of waste tea activated carbon using potassium acetate as an activating agent for adsorption of acid blue 25 dye", Chemical Engineering Journal, Vol. 171, No. 2, (2011), 502-509.
9
10. Daneshvar, E., Sohrabi, M.S., Kousha, M., Bhatnagar, A., Aliakbarian, B., Converti, A. and Norrström, A.-C., "Shrimp shell as an efficient bioadsorbent for acid blue 25 dye removal from aqueous solution", Journal of the Taiwan Institute of Chemical Engineers, Vol. 45, No. 6, (2014), 2926-2934.
10
11. Guiso, M.G., Biesuz, R., Vilariño, T., López-García, M., Rodríguez Barro, P. and Sastre de Vicente, M.E., "Adsorption of the prototype anionic anthraquinone, acid blue 25, on a modified banana peel: Comparison with equilibrium and kinetic ligand–receptor biochemical data", Industrial & Engineering chemistry research, Vol. 53, No. 6, (2014), 2251-2260.
11
12. Prabhu, S.M. and Meenakshi, S., "Synthesis of surface coated hydroxyapatite powders for fluoride removal from aqueous solution", Powder Technology, Vol. 268, No., (2014), 306-315.
12
13. Yang, L., Wei, Z., Zhong, W., Cui, J. and Wei, W., "Modifying hydroxyapatite nanoparticles with humic acid for highly efficient removal of cu (ii) from aqueous solution", Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol. 490, No., (2016), 9-21.
13
14. Le, Y., Guo, D., Cheng, B. and Yu, J., "Amine-functionalized monodispersed porous silica microspheres with enhanced co2 adsorption performance and good cyclic stability", Journal of Colloid and Interface Science, Vol. 408, No., (2013), 173-180.
14
15. Skwarek, E., Janusz, W., Gun’ko, V., Pakhlov, E., Zarko, V. and Gdula, K., "Characteristics of surface and electrochemical properties of composites with fumed metal oxides and hydroxyapatite", Adsorption, Vol. 22, No. 4-6, (2016), 725-734.
15
16. Mobasherpour, I., Heshajin, M.S., Kazemzadeh, A. and Zakeri, M., "Synthesis of nanocrystalline hydroxyapatite by using precipitation method", Journal of Alloys and Compounds, Vol. 430, No. 1-2, (2007), 330-333.
16
17. Abidi, S.S.A. and Murtaza, Q., "Synthesis and characterization of nano-hydroxyapatite powder using wet chemical precipitation reaction", Journal of Materials Science & Technology, Vol. 30, No. 4, (2014), 307-310.
17
18. Sharma, R., Pandey, R.R., Gupta, A.A., Kar, S. and Dhayal, M., "In situ amino acid functionalization and microstructure formation of hydroxyapatite nanoparticles synthesized at different ph by precipitation route", Materials Chemistry and Physics, Vol. 133, No. 2-3, (2012), 718-725.
18
19. Bakhtiari, L., Javadpour, J., Rezaie, H.R., Erfan, M., Mazinani, B. and Aminian, A., "Pore size control in the synthesis of hydroxyapatite nanoparticles: The effect of pore expander content and the synthesis temperature", Ceramics International, Vol. 42, No. 9, (2016), 11259-11264.
19
20. Vila, M., Sánchez-Salcedo, S., Cicuéndez, M., Izquierdo-Barba, I. and Vallet-Regí, M., "Novel biopolymer-coated hydroxyapatite foams for removing heavy-metals from polluted water", Journal of Hazardous Materials, Vol. 192, No. 1, (2011), 71-77.
20
21. He, W., Li, Z., Wang, Y., Chen, X., Zhang, X., Zhao, H., Yan, S. and Zhou, W., "Synthesis of mesoporous structured hydroxyapatite particles using yeast cells as the template", Journal of Materials Science: Materials in Medicine, Vol. 21, No. 1, (2010), 155-159.
21
22. Nandi, B., Goswami, A. and Purkait, M., "Removal of cationic dyes from aqueous solutions by kaolin: Kinetic and equilibrium studies", Applied Clay Science, Vol. 42, No. 3-4, (2009), 583-590.
22
23. Dahri, M., Lim, L., Priyantha, N. and Chan, C., "Removal of acid blue 25 using cempedak durian peel from aqueous medium: Isotherm, kinetics and thermodynamics studies", International Food Research Journal, Vol. 23, No. 3, (2016), 1154-1163.
23
24. Bulut, Y. and Aydın, H., "A kinetics and thermodynamics study of methylene blue adsorption on wheat shells", Desalination, Vol. 194, No. 1-3, (2006), 259-267.
24
25. Khalid, K., Ngah, W.S., Hanafiah, M.A., Malek, N.S. and Khazaai, S.N., "Acid blue 25 adsorption onto phosphoric acid treated rubber leaf powder", American Journal of Environmental Engineering, Vol. 5, No. 3A, (2015), 19-25.
25
ORIGINAL_ARTICLE
Prediction of Solubility of β-Carotene as a Component in a Multicomponent System in High-Pressure Carbon Dioxide
Solubility prediction of high molecular weight molecules in high-pressure solvents is an interesting field of research. Sometimes the solubility data are not available for several components due to lacking of valid equipments. Therefore, an accurate prediction technique can help the researchers. According to the literature, the simple Equations of State (EoSs) such as Soave-Redlich-Kwong (SRK), Peng-Robinson (PR) and the others require some data such as intermolecular energy parameters, critical properties, acentric factors, and molar refractions. Since these data are not available for a lot of high molecular weight molecules, there are some limitations in applying them. Furthermore, the calculations are more complicated when the high molecular weight molecule is a polar one due to the interference of polar factors in the calculations process. The polar factors for this kind of molecules are not available or cannot easily be calculated. One of these polar biomolecules is β-carotene. In this research, the solubility of β-carotene in high-pressure carbon dioxide was calculated by a two-parameter EoS and compared with the experimental data although it had already been successfully used for binary systems,. The results showed that the two-parameter Mohsen-Nia-Modarress-Mansoori (MMM) EoS was an accurate model for the solubility prediction in supercritical and near critical conditions for the multicomponent systems. The binary coefficients of β-carotene and carbon dioxide in various pressures and temperatures were obtained by the genetic algorithm from the literature.
https://www.ije.ir/article_82475_8cafa016c26998a9b393a725a8f8b831.pdf
2019-02-01
201
206
prediction
Solubility
β-carotene
EOS
R.
Davarnejad
r-davarnejad@araku.ac.ir
1
Department of Chemical Engineering, Faculty of Engineering, Arak University, Arak, Iran
LEAD_AUTHOR
V.
Jamshidi
2
Department of Chemical Engineering, Faculty of Engineering, Arak University, Arak, Iran
AUTHOR
1. Brunner, G., "Supercritical fluids: Technology and application to food processing", Journal of Food Engineering, Vol. 67, No. 1-2, (2005), 21-33.
1
2. Fornari, T., Vicente, G., Vázquez, E., García-Risco, M.R. and Reglero, G., "Isolation of essential oil from different plants and herbs by supercritical fluid extraction", Journal of Chromatography A, Vol. 1250, (2012), 34-48.
2
3. Schulz, K., Martinelli, E.E. and Mansoori, G.A., Supercritical fluid extraction and retrograde condensation (SFE/RC) applications in biotechnology, in Supercritical fluid technology (1991). 2017, CRC Press.451-478.
3
4. Dohrn, R., Peper, S. and Fonseca, J.M., "High-pressure fluid-phase equilibria: Experimental methods and systems investigated (2000–2004)", Fluid Phase Equilibria, Vol. 288, No. 1-2, (2010), 1-54.
4
5. Fonseca, J.M., Dohrn, R. and Peper, S., "High-pressure fluid-phase equilibria: Experimental methods and systems investigated (2005–2008)", Fluid Phase Equilibria, Vol. 300, No. 1-2, (2011), 1-69.
5
6. Pfander, H., [1] carotenoids: An overview, in Methods in enzymology. 1992, Elsevier.3-13.
6
7. Hartono, R., Mansoori, G.A. and Suwono, A., "Prediction of solubility of biomolecules in supercritical solvents", Chemical Engineering Science, Vol. 56, No. 24, (2001), 6949-6958.
7
8. Zainal, A., Kassim, K. and Sata, S., "Supercritical fluid extraction of carotenoid from microalgae with projected thermodynamic models (research note)", International Journal of Engineering, Vol. 21, No. 2, (2008), 117-126.
8
9. Kwont, Y.J. and Mansoori, G.A., "Solubility modeling of solids in su, p ercritical fluids using the kirkwood-buff fluctuation integral with the hard-sphere expansion (HSE) theory", The Journal of Supercritical Fluids, Vol. 6, No. 3, (1993).
9
10. Yang, T., Chen, W.-D. and Guo, T.-M., "Phase behavior of a near-critical reservoir fluid mixture", Fluid Phase Equilibria, Vol. 128, No. 1-2, (1997), 183-197.
10
11. Housaindokht, M.R., Haghighi, B. and Bozorgmehr, M.R., "A comparison among three equations of state in predicting the solubility of some solids in supercritical carbon dioxide", Korean Journal of Chemical Engineering, Vol. 24, No. 1, (2007), 102-105.
11
12. Yazdizadeh, M., Eslamimanesh, A. and Esmaeilzadeh, F., "Thermodynamic modeling of solubilities of various solid compounds in supercritical carbon dioxide: Effects of equations of state and mixing rules", The Journal of Supercritical Fluids, Vol. 55, No. 3, (2011), 861-875.
12
13. Wang, L.-H. and Lin, S.-T., "A predictive method for the solubility of drug in supercritical carbon dioxide", The Journal of Supercritical Fluids, Vol. 85, (2014), 81-88.
13
14. Su, C.-S., "Prediction of solubilities of solid solutes in carbon dioxide-expanded organic solvents using the predictive soave–redlich–kwong (PSRK) equation of state", Chemical Engineering Research and Design, Vol. 91, No. 6, (2013), 1163-1169.
14
15. Khansary, M.A., Sani, A.H., Shahbeig, H., Arif, A., Dalirsefat, H. and Salehi, M.A., "A novel equation of state: Determination and validation for dyes and drugs solubility calculations in supercritical carbon dioxide", Periodica Polytechnica Chemical Engineering, Vol. 58, No. 2, (2014), 179-194.
15
16. Baseri, H., Haghighi-Asl, A. and Lotfollahi, N.M., "Thermodynamic modeling of solid solubility in supercritical carbon dioxide: Comparison between mixing rules", Chemical Industry and Chemical Engineering Quarterly/CICEQ, Vol. 19, No. 3, (2013), 389-398.
16
17. Ardjmand, M., Mirzajanzadeh, M. and Zabihi, F., "Measurement and correlation of solid drugs solubility in supercritical systems", Chinese Journal of Chemical Engineering, Vol. 22, No. 5, (2014), 549-558.
17
18. Shojaee, S.A., Rajaei, H., Hezave, A.Z., Lashkarbolooki, M. and Esmaeilzadeh, F., "Experimental measurement and correlation for solubility of piroxicam (a non-steroidal anti-inflammatory drugs (NSAIDS)) in supercritical carbon dioxide", The Journal of Supercritical Fluids, Vol. 80, (2013), 38-43.
18
19. Mansoori, G.A. and Ely, J.F., "Density expansion (DEX) mixing rules: Thermodynamic modeling of supercritical extraction", The Journal of Chemical Physics, Vol. 82, No. 1, (1985), 406-413.
19
20. Hartono, R., Mansoori, G.A. and Suwono, A., "Prediction of molar volumes, vapor pressures and supercritical solubilities of alkanes by equations of state", Chemical Engineering Communications, Vol. 173, No. 1, (1999), 23-42.
20
21. Kwak, T. and Mansoori, G., "Van der waals mixing rules for cubic equations of state. Applications for supercritical fluid extraction modelling", Chemical Engineering Science, Vol. 41, No. 5, (1986), 1303-1309.
21
22. Walas, S.M., "Phase equilibria in chemical engineering, Butterworth-Heinemann, (2013).
22
23. Fornari, T. and Stateva, R.P., "High pressure fluid technology for green food processing, Springer, (2015).
23
24. Lyman, W.J., Reehl, W.F. and Rosenblatt, D.H., "Handbook of chemical property estimation methods", (1990).
24
25. Subra, P., Castellani, S., Ksibi, H. and Garrabos, Y., "Contribution to the determination of the solubility of β-carotene in supercritical carbon dioxide and nitrous oxide: Experimental data and modeling", Fluid Phase Equilibria, Vol. 131, No. 1-2, (1997), 269-286.
25
26. Golberg, D.E., "Genetic algorithms in search, optimization, and machine learning", Addion Wesley, Vol. 1989, No. 102, (1989), 36.
26
27. Mohsen-Nia, M., Moddaress, H. and Mansoor, G.A., "A cubic equation of state based on a simplified hard-core model", Chemical Engineering Communications, Vol. 131, No. 1, (1995), 15-31.
27
28. Davarnejad, R., Kassim, K.M., Ahmad, Z. and Sata, S.A., "Solubility of β-carotene from crude palm oil in high-temperature and high-pressure carbon dioxide", Journal of Chemical & Engineering Data, Vol. 54, No. 8, (2009), 2200-2207.
28
29. Kassim, K., Davarnejad, R. and Zainal, A., "Phase equilibrium studying for the supercritical fluid extraction process using carbon dioxide solvent with 1.35 mole ratio of octane to ethanol mixture", Chemical Engineering Journal, Vol. 140, No. 1-3, (2008), 173-182.
29
30. Davarnejad, R., Kassim, K., Zainal, A. and Sata, S.A., "Phase equilibrium study in supercritical fluid extraction of ethanol to octane mixture using CO2", ASEAN Journal of Chemical Engineering, Vol. 6, No. 1 & 2, (2007), 127-136.
30
31. Davarnejad, R., Kassim, K., Zainal, A. and Sata, S.A., "Thermodynamic model used to predict supercritical carbon dioxide separation of an ethanol-octane mixture: Feasibility studies", International Journal of Thermodynamics, Vol. 12, No. 1, (2009), 51-59.
31
32. Davarnejad, R., Kassim, K., Zainal, A. and Sata, S.A., "Mutual solubility study for 94.2: 5.8 of ethanol to octane with supercritical carbon dioxide solvent", Journal of the Chinese Institute of Chemical Engineers, Vol. 39, No. 4, (2008), 343-352.
32
33. Benmekki, E.-H. and Mansoori, G., "Phase equilibrium calculations of highly polar systems", Fluid Phase Equilibria, Vol. 32, No. 2, (1987), 139-149.
33
ORIGINAL_ARTICLE
Textural and Structural Characterizations of Mesoporous Chitosan Beads for Immobilization of Alpha-Amylase: Diffusivity and Sustainability of Biocatalyst
In the present study, textural and structural characterizations of chitosan bead for immobilization of alpha amylase were studied in detail by N2 adsorption–desorption, Microspore Analysis (MP), Barrett–Joyner–Halenda (BJH) plots and Field Emission Scanning Electron Microscope (FESEM) observations. Pore structure observation revealed chemical activation of chitosan bead by glutaraldehyde can change both the isotherm type of adsorption and pores shape. In consistence with textural analysis, the high value of pore volume distribution with range of mesopores region indicated the porosity of activated chitosan bead was uniformly increased. Intra-particle diffusion model indicated that 97.6% of amylase was adsorbed inside the mesopores of activated chitosan bead owing to increase in kid (rate constant) and reduce of boundary layer effect on diffusion process. In addition, the stability experiments (pH, storage and thermal stability), enzyme leakage, Ca2+ and salt concentration effects were evaluated for immobilized amylase and compared with its free form. Ca2+ concentration of 1 mM shows an excellent impact on relative activity of amylase in its free and immobilized form. NaCl experiments indicated that 84% of amylase was covalently immobilized on activated chitosan beads. Further, the Michaelis–Menten kinetic coefficients, Km (~0.4mg/ml) and, Vmax(~227 U/mg Enzyme), point out strong affinity and high activity of immobilized enzyme
https://www.ije.ir/article_82477_a511966d01c56efb788224ba43a87555.pdf
2019-02-01
207
216
Structural Characterization
Chitosan bead
Alpha Amylase
Covalent immobilization
H.
Heydarzadeh Darzi
h.heydarzadeh@hsu.ac.ir
1
Faculty of Petroleum and Petrochemical Engineering, Hakim Sabzevari University, Sabzevar, Iran
AUTHOR
S.
Gilani
2
Faculty of Chemical Engineering, Noshirvani University of Technology, Babol, Iran
AUTHOR
M.
Farrokhi
3
Faculty of Petroleum and Petrochemical Engineering, Hakim Sabzevari University, Sabzevar, Iran
AUTHOR
S. M. M.
Nouri
4
Faculty of Petroleum and Petrochemical Engineering, Hakim Sabzevari University, Sabzevar, Iran
AUTHOR
G.
Karimi
5
Arvandan Oil & Gas Company, Khoramshahr, Iran
AUTHOR
1. Klapiszewski, L., Zdarta, J. and Jesionowski, T., "Titania/lignin hybrid materials as a novel support for α-amylase immobilization: A comprehensive study", Colloids and Surfaces B: Biointerfaces, Vol. 162, No., (2018), 90-97.
1
2. Velmurugan, R. and Incharoensakdi, A., "Immobilization of α-amylase on metal nanoparticles mediated by xylan aldehyde improves hydrolysis of glycogen from synechocystis sp. Pcc 6803", Fuel, Vol. 210, (2017), 334-342.
2
3. Nwagu, T.N., Okolo, B., Aoyagi, H. and Yoshida, S., "Chemical modification with phthalic anhydride and chitosan: Viable options for the stabilization of raw starch digesting amylase from aspergillus carbonarius", International Journal of Biological Macromolecules, Vol. 99, (2017), 641-647.
3
4. Pandey, G., Munguambe, D.M., Tharmavaram, M., Rawtani, D. and Agrawal, Y., "Halloysite nanotubes-an efficient ‘nano-support’for the immobilization of α-amylase", Applied Clay Science, Vol. 136, (2017), 184-191.
4
5. Singh, K., Srivastava, G., Talat, M., Srivastava, O.N. and Kayastha, A.M., "Α-amylase immobilization onto functionalized graphene nanosheets as scaffolds: Its characterization, kinetics and potential applications in starch based industries", Biochemistry and Biophysics Reports, Vol. 3, (2015), 18-25.
5
6. Kar, S., Swain, M.R. and Ray, R.C., "Statistical optimization of alpha-amylase production with immobilized cells of streptomyces erumpens mtcc 7317 in luffa cylindrica l. Sponge discs", Applied Biochemistry and Biotechnology, Vol. 152, No. 2, (2009), 177.
6
7. Noshadi, N., Mohammadi, M., Najafpour, G. and Pouryafar, F., "Thermostable alpha-amylase from lignocellulosic residues using bacillus amyloliquefaciens", International Journal of Engineering, Tansaction B: Applications, Vol. 30, No. 8, (2017), 1110-1117.
7
8. Alghabpoor, S.S., Panosyan, H., Trchounian, A. and Popov, Y., "Purification and characterization of a novel thermostable and acid stable α-amylase from bacillus sp. Iranian s1", International Journal of Engineering-Transactions B: Applications, Vol. 26, No. 8, (2013), 815-820.
8
9. Talekar, S., Joshi, A., Kambale, S., Jadhav, S., Nadar, S. and Ladole, M., "A tri-enzyme magnetic nanobiocatalyst with one pot starch hydrolytic activity", Chemical Engineering Journal, Vol. 325, (2017), 80-90.
9
10. Konovalova, V., Guzikevich, K., Burban, A., Kujawski, W., Jarzynka, K. and Kujawa, J., "Enhanced starch hydrolysis using α-amylase immobilized on cellulose ultrafiltration affinity membrane", Carbohydrate Polymers, Vol. 152, (2016), 710-717.
10
11. Božić, N., Ruiz, J., López-Santín, J. and Vujčić, Z., "Production and properties of the highly efficient raw starch digesting α-amylase from a bacillus licheniformis atcc 9945a", Biochemical Engineering Journal, Vol. 53, No. 2, (2011), 203-209.
11
12. Agrawal, M., Pradeep, S., Chandraraj, K. and Gummadi, S.N., "Hydrolysis of starch by amylase from bacillus sp. Kca102: A statistical approach", Process Biochemistry, Vol. 40, No. 7, (2005), 2499-2507.
12
13. Goyal, N., Gupta, J. and Soni, S., "A novel raw starch digesting thermostable α-amylase from bacillus sp. I-3 and its use in the direct hydrolysis of raw potato starch", Enzyme and Microbial Technology, Vol. 37, No. 7, (2005), 723-734.
13
14. Nwagu, T.N., Okolo, B., Aoyagi, H. and Yoshida, S., "Improved yield and stability of amylase by multipoint covalent binding on polyglutaraldehyde activated chitosan beads: Activation of denatured enzyme molecules by calcium ions", Process Biochemistry, Vol. 48, No. 7, (2013), 1031-1038.
14
15. Yang, L., Lei, M., Zhao, M., Yang, H., Zhang, H., Li, Y., Zhang, K. and Lei, Z., "Synthesis of the light/ph responsive polymer for immobilization of α-amylase", Materials Science and Engineering: C, Vol. 71, (2017), 75-83.
15
16. Wahba, M.I., "Porous chitosan beads of superior mechanical properties for the covalent immobilization of enzymes", International Journal of Biological Macromolecules, Vol. 105, (2017), 894-904.
16
17. Guo, H., Tang, Y., Yu, Y., Xue, L. and Qian, J.-q., "Covalent immobilization of α-amylase on magnetic particles as catalyst for hydrolysis of high-amylose starch", International Journal of Biological Macromolecules, Vol. 87, (2016), 537-544.
17
18. Swarnalatha, V., Esther, R.A. and Dhamodharan, R., "Immobilization of α-amylase on gum acacia stabilized magnetite nanoparticles, an easily recoverable and reusable support", Journal of Molecular Catalysis B: Enzymatic, Vol. 96, (2013), 6-13.
18
19. Maghsoudi, V., Razavi, J. and Yaghmaei, S., "Solid state fermentation for production of chitosan by aspergillus niger", International Journal of Engineering, Transactions B: Applications Vol. 22, No. 1 (2009) 1-6
19
20. Gilani, S.L., Najafpour, G.D., Heydarzadeh, H.D. and Moghadamnia, A., "Enantioselective synthesis of (s)‐naproxen using immobilized lipase on chitosan beads", Chirality, Vol. 29, No. 6, (2017), 304-314.
20
21. Gilani, S.L., Najafpour, G.D., Moghadamnia, A. and Kamaruddin, A.H., "Stability of immobilized porcine pancreas lipase on mesoporous chitosan beads: A comparative study", Journal of Molecular Catalysis B: Enzymatic, Vol. 133, (2016), 144-153.
21
22. Gilani, S., Najafpour, G., Moghadamnia, A. and Kamaruddin, A., "Kinetics and isotherm studies of the immobilized lipase on chitosan support", International Journal of Engineering, Transactions A. Basics, Vol. 29, No. 10, (2016), 1402-1414.
22
23. Tripathi, P., Kumari, A., Rath, P. and Kayastha, A.M., "Immobilization of α-amylase from mung beans (vigna radiata) on amberlite mb 150 and chitosan beads: A comparative study", Journal of Molecular Catalysis B: Enzymatic, Vol. 49, No. 1-4, (2007), 69-74.
23
24. Gong, W., Ran, Z., Ye, F. and Zhao, G., "Lignin from bamboo shoot shells as an activator and novel immobilizing support for α-amylase", Food Chemistry, Vol. 228, (2017), 455-462.
24
25. Donohue, M. and Aranovich, G., "Classification of gibbs adsorption isotherms", Advances in Colloid and Interface Science, Vol. 76, (1998), 137-152.
25
26. Demir, S., Gök, S.B. and Kahraman, M.V., "Α‐amylase immobilization on functionalized nano CaCo3 by covalent attachment", Starch‐Stärke, Vol. 64, No. 1, (2012), 3-9.
26
27. Yilmaz, E., Can, K., Sezgin, M. and Yilmaz, M., "Immobilization of candida rugosa lipase on glass beads for enantioselective hydrolysis of racemic naproxen methyl ester", Bioresource Technology, Vol. 102, No. 2, (2011), 499-506.
27
28. Akceylan, E., Akoz, E., Sahin, O. and Yilmaz, M., "Enantioselective hydrolysis of (r, s)-naproxen methyl ester using candida rugosa lipase with calix [4] arene derivatives", Journal of Inclusion Phenomena and Macrocyclic Chemistry, Vol. 81, No. 1-2, (2015), 237-243.
28
29. Yilmaz, E., Sezgin, M. and Yilmaz, M., "Enantioselective hydrolysis of rasemic naproxen methyl ester with sol–gel encapsulated lipase in the presence of sporopollenin", Journal of Molecular Catalysis B: Enzymatic, Vol. 62, No. 2, (2010), 162-168.
29
30. Hasirci, N., Aksoy, S. and Tumturk, H., "Activation of poly (dimer acid-co-alkyl polyamine) particles for covalent immobilization of α-amylase", Reactive and Functional Polymers, Vol. 66, No. 12, (2006), 1546-1551.
30
31. Tümtürk, H., Aksoy, S. and Hasırcı, N., "Covalent immobilization of a α‐amylase onto poly (methyl methacrylate‐2‐hydroxyethyl methacrylate) microspheres and the effect of ca2+ ions on the enzyme activity", Starch‐Stärke, Vol. 51, No. 6, (1999), 211-217.
31
32. Straksys, A., Kochane, T. and Budriene, S., "Catalytic properties of maltogenic α-amylase from bacillus stearothermophilus immobilized onto poly (urethane urea) microparticles", Food Chemistry, Vol. 211, (2016), 294-299.
32
33. Khan, M.J., Khan, F.H. And Husain, Q., "Application of immobilized ipomoea batata β amylase in the saccharification of starch", Journal of Applied Biological Sciences, Vol. 5, No. 2, (2011).
33
34. Cao, L., "Carrier-bound immobilized enzymes: Principles, application and design", John Wiley & Sons, (2006).
34
ORIGINAL_ARTICLE
Experimental Study for Protection of Piers Against Local Scour Using Slots
The most important causes of bridge failure are local scour. In this study, laboratory experiments were conducted to investigate the effectiveness of slot as a protection device in reduction of depth of scour at cylindrical piers under clear water flow conditions. The development time of scour depth at the circular pier with and without a slot as a protection device was conducted. The experiments focused on the effect of using different lengths of slot, calculating efficiency and deriving a suitable equation. It was observed that the scour depth decreases as the size of slot length increases; and also the maximum reduction in scour depth equals to 49%. The technique of dimensional analysis was used, and based on laboratory results an empirical formula was derived by using IBM SPSS statistics v24 software. The coefficient of determination (R²) was determined to be (0.961), There was a good agreement between the predicated and observed data.
https://www.ije.ir/article_82478_467bbcebecf8ff0859996006ba1535f5.pdf
2019-02-01
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222
Slot
Scour Reduction
Circular pier
Dimensional Analysis
N. A.
Obied
nabaa_alsultan@yahoo.com
1
Department of Civil Engineering, University of Basrah, Basrah, Iraq
LEAD_AUTHOR
S. I.
Khassaf
2
Department of Civil Engineering, University of Basrah, Basrah, Iraq
AUTHOR
1. Wang, C., Yu, X., Liang, F., A review of bridge scour: mechanism, estimation, monitoring and countermeasures. Natural Hazards, Vol. 87, No. 3 (2017) 1881-1906. doi:10.1007/s11069-017-2842-2.
1
2. Chiew, Y. M., Melville, B. W., Local scour around bridge piers. Journal of Hydraulic Research, Vol. 25, (1987), 15–26.
2
3. Parker, G., Toro-Escobar, C., Voigt, R.L., Countermeasures to protect bridge piers from scour. Final Report NCHRP Project 24–7. Transportation Research Board, Washington, DC, (1998).
3
4. Lagasse, P. F., Clopper, P. E., Zevenbergen, L. W. and Girard, L. G., Countermeasures to protect bridge piers from scour. National Cooperative Highway Research Program (NCHRP) Rep. No. 593, Transportation Research Board, Washington, D.C., (2007).
4
5. Abd El-Razek, M., Abd El-Motaleb, M., Bayoumy, M., Scour reduction around bridge piers using internal openings through the pier. Proc. 30th IAHR Congress, Thessaloniki, C2, (2003), 285–292.
5
6. Haque, M.A., Rahman, M.M., Islam, G.M.T., Hussain, M.A., Scour mitigation at bridge piers using sacrificial piles. International Journal of Sediment Research, Vol. 22, No. 1, (2007), 49–59.
6
7. Razi, S., Salmasi, F., Hosseinzadeh Dalir A., and Farsadizaeh, D.: Application of Bed Sill to Control Scouring Around Cylindrical Bridge Piers. Journal of Civil Engineering and Urbanism, Vol. 2, (2011), 115-121.
7
8. Grimaldi, C., Gaudio, R., Calomino, F., and Cardoso, A. H.: Countermeasures Against Local Scouring at Bridge Piers: Slot and Combined System of Slot and Bed Sill. Journal of Hydraulic Engineering, Vol. 135, No. 5, (2009b), 425-431.
8
9. Tafarojnoruz, A., Gaudio, R., and Calomino, F., Evaluation of Flow-Altering Countermeasures against Bridge Pier Scour. Journal of Hydraulic Engineering, Vol. 138, No. 3, (2012).
9
10. Raudkivi, A. J., Functional trends of scour at bridge piers. Journal of Hydraulic Engineering, Vol. 112, No. 1, (1986), 1-13.
10
11. Dargahi, B.: Controlling mechanism of local scouring. Journal of Hydraulic Engineering, Vol. 116, No. 10, (1990), 1197-1214.
11
12. Dey, S. Bose, S. K. and Sastry, G. L. N., Clear water scour at circular piers: A model. Journal of Hydraulic Engineering, Vol. 121, No. 12, (1995), 869-876.
12
13. Dey, S. and Raikar, R. V., Characteristics of horseshoe vortex in developing scour holes at pier. Journal of Hydraulic Engineering, Vol. 133, No. 4, (2007), 399-413.
13
14. Afzali, S. H., New Model for Determining Local Scour Depth Around Piers. Arabian Journal for Science and Engineering, vol. 41, No. 10, (2016), 3807-3815.
14
15. Tanaka, S. and Yano, M., Local scour around a circular cylinder. Proc., 12th IAHR Congress, Delft, The Netherlands, 3, (1967), 193-201.
15
16. Muzzammil, M., T. Gangadharaiah, and A. K. Gupta. "An experimental investigation of a horseshoe vortex induced by a bridge pier." In Proceedings of the Institution of Civil Engineers-Water Management, Vol. 157, No. 2, 109-119. Thomas Telford Ltd, 2004.
16
17. Kumar, V., Ranga Raju, K.G., Vittal, N., Reduction of local scour around bridge piers using slots and collars. Journal of Hydraulic Engineering, ASCE, 125, (1999), 1302- 1305,
17
18. Jahangirzadeh A., Basser H., Akib S., Karami H., Naji S., Shamshirband S., Experimental and Numerical Investigation of the Effect of Different Shapes of Collars on the Reduction of Scour around a Single Bridge Pier. PLoS One Vol. 9, No. 6: e98592 (2014). doi: 10.1371/journal.pone.0098592
18
19. Melville, B.W. and Sutherland, A.J., Design Method for Local Scour at Bridge Piers. Journal of Hydraulic Engineering, Vol.114, No.10, (1988), 1210-1226.
19
20. Chiew, Y.M., Melville, B.W., Local Scour Around Bridge Piers. Journal of Hydraulic Research, Vol. 25, No. 1, (1987), 15-26.
20
21. Hoffmans, G.J.C.M. and Verheij, H.J., Scour manual. A.A. Balkema, Rotterdam, The Netherlands, (1997).
21
22. Chiew, Y.M., Scour protection at bridge piers. Journal of Hydraulic Engineering, ASCE, Vol. 118, No. 9, (1992), 1260-1269.
22
23. Melville, B.W., Pier and Abutment Scour: Integrated Approach. Journal of Hydraulic Engineering, Vol. 123, No. 2, (1997), 125-136.
23
24. Ettema, R., Scour at bridge piers. PhD Thesis, Auckland University, Auckland, New Zealand, (1980).
24
ORIGINAL_ARTICLE
Enhancing Performance of Infill Masonry With Skin reinforcement Subjected To Cyclic Load
Masonry infill has been widely used as building material due to its cost effectiveness and availability. The failure of these masonry infill walls during the past earthquakes have underscored the importance of ensuring the safety of the infill walls when it is subjected to lateral loads. In-plane and out of plane failures have been observed in many reinforced concrete framed building with masonry infill. To prevent the failure of the infill walls researchers have worked on various confinement techniques like, textile reinforced mortar, ferro cement, and diagonal bracings using fiberglass reinforced panels (FRP) etc. In this paper chicken mesh were used as a confinement technique and the experimental investigation is presented for enhancing the in-plane properties of masonry infill walls like diagonal tension and shear thereby improving the in-plane strength of masonry infill wall. For studying the lateral load capacity of the infill wall two specimens are cast namely, i) infill wall without mesh (B2), ii) infill wall with mesh (B3). Single bay, single floor 1:3 scaled down reinforced cement concrete (RCC) frames designed as per codal provisions are cast with scaled down bricks for construction of infill walls and because of incorporation of skin reinforcement for infill walls the ductility, energy dissipation, ultimate loads are improved considerably and reduced the displacements.
https://www.ije.ir/article_82479_0b61d7a791bd2f0a048626dd0a84c88a.pdf
2019-02-01
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228
wire mesh
cyclic load
Infill wall
Displacement
Hysterisis loop
S.
Vincent Sam Jebadurai
1
Department of Civil Engineering , Karunya Instittue of Technology and Sciences, Coimbatore, Tamilnadu, India
AUTHOR
D.
Tensing
dtensing@karunya.edu
2
Department of Civil Engineering , Karunya Instittue of Technology and Sciences, Coimbatore, Tamilnadu, India
LEAD_AUTHOR
C.
Freeda Christy
3
Department of Civil Engineering , Karunya Instittue of Technology and Sciences, Coimbatore, Tamilnadu, India
AUTHOR
1. Amiraslanzadeh, R., Ikemoto, T., Miyajima, M. and Fallahi, A., "A comparative study on seismic retrofitting methods for unreinforced masonry brick walls", in 15th World Conf. on Earthquake Engineering, International Association for Earthquake Engineering, Tokyo., (2012), 2-10.
1
2. Papanicolaou, C.G., Triantafillou, T.C., Papathanasiou, M. and Karlos, K., "Textile reinforced mortar (TRM) versus frp as strengthening material of urm walls: Out-of-plane cyclic loading", Materials and structures, Vol. 41, No. 1, (2008), 143-157.
2
3. Sheppard, P. and Tercelj, S., "The effect of repair and strengthening methods for masonry walls", in 7th World Conference on Earthquake Engineering. Vol. 6, (1980), 255-262.
3
4. Rahemi, M.A., Tasnimi, A. and Sarvghad-Moghadam, A., "Micro-modeling of masonry infilled rc moment resisting frames to investigate arrangement of compressive diagonal struts", International Journal of Engineering-Transactions C: Aspects, Vol. 27, No. 6, (2013), 865-880.
4
5. Jabarov, M., Kozharinov, S. and Lunyov, A., "Strengthening of damaged masonry by reinforced mortar layers", Proceedings of the 7th WCEE, Istanbul, Turkey, Vol. 4, (1980), 73-80.
5
6. Zezhen, N., Qi, D., Jianyou, C. and Runtao, Y., "A study of aseismic strengthening for multi-story brick building by additional r", C columns. 8th WCEE, USA, (1984), 591-598.
6
7. Karantoni, F.V. and Fardis, M.N., "Effectiveness of seismic strengthening techniques for masonry buildings", Journal of Structural Engineering, Vol. 118, No. 7, (1992), 1884-1902.
7
8. Chuxian, S., Guiqiu, L. and Wenchao, W., "The design of brick masonry structure with concrete column", Proceedings of the 11th IB2MaC, Shanghai, China, (1997), 14-16.
8
9. Chen, L., Fang, Q., Fan, J., Zhang, Y., Hao, H. and Liu, J., "Responses of masonry infill walls retrofitted with cfrp, steel wire mesh and laminated bars to blast loadings", Advances in Structural Engineering, Vol. 17, No. 6, (2014), 817-836.
9
10. Tomazevic, M., "Earthquake-resistant design of masonry buildings, World Scientific, Vol. 1, (1999).
10
11. Jalilkhani, M. and Manafpour, A., "A simplified modal pushover analysis-based method for incremental dynamic analysis of regular rc moment-resisting frames", International Journal of Engineering-Transactions B: Applications, Vol. 31, No. 2, (2017), 196-203.
11
12. Lissel, S. and Shrive, N., "Construction of diaphragm walls post-tensioned with carbon fiber reinforced polymer tendons", in Proc., 9th North American Masonry Conf.(9NAMC). (2003), 192-203.
12
13. Rosenboom, O. and Kowalsky, M., "Investigation of alternative details for seismic design of post-tensioned clay masonry walls", Proceedings of the 9th NAMC, Clemson, SC, USA, (2003), 475-485.
13
14. Saghaeian, O., Nateghi, F. and Rezaifar, O., "Comparison of using different modeling techniques on prediction of the nonlinear behavior of r/c shear walls", IJE Transactions B: Applications, Vol. 27, No. 2, (2014), 269-282.
14
15. Schultz, A.E., Bean, J.R. and Stolarski, H.K., "Out-of-plane lateral load resistance of slender post-tensioned masonry walls with unbonded tendons", in 2003 ASCE/SEI Structures Congress and Exposition: Engineering Smarter. (2003).
15
16. Laursen, P.P.T., "Seismic analysis and design of post-tensioned concrete masonry walls", ResearchSpace@ Auckland, (2002),
16
17. Foti, D. and Monaco, P., "Post‐tensioned masonry: State of the art", Progress in Structural Engineering and Materials, Vol. 2, No. 3, (2000), 311-318.
17
18. Mojsilovic, N. and Marti, P., "Load tests on post-tensioned masonry walls, Institut für Baustatik und Konstruktion, ETH-Hönggerberg, (1996).
18
19. Al-Manaseer, A. and Neis, W., "Load tests on post-tensioned masonry wall panels", Structural Journal, Vol. 84, No. 6, (1987), 467-472.
19
20. Sadafi, N., Zain, M.F.M. and Jamil, M., "Structural and functional analysis of an industrial, flexible, and demountable wall panel system", International Journal of Engineering, Transactions B: Applications, Vol. 27, No. 2, (2014), 247-260.
20
21. Hashemi, A. and Mosalam, K.M., "Pacific earthquake engineering research center", University of California, Berkeley, (2007).
21
22. Vincent Sam Jebadurai, S. and Tensing., D., "Skin reinforcement for masonry infill walls subjected to cyclic loading", International Journal of Civil Engineering and Technology, Vol. 8, No. 4, (2017), 1196-1206.
22
ORIGINAL_ARTICLE
Further Study of Adsorption of Crude Oils onto Acetylated Corn Silk and its Kinetics and Equilibrium Isotherm
Oil spills from tanker or oil well have detrimental effects on environment and economy. One of the most economical and efficient methods for oil spill clean-up is mechanical extraction by sorbents which are not only the safest methods but also the least expensive of spill control. The potential use of agricultural by-products such as corn silk for adsorbent of crude oil from water systems was published in our previous work. In the current research, the percentage of acetylation and hydrophobicity of the treated corn silk were measured. The reflux time for the acetylation process was one of the primary parameters that enhanced the acetylation process. The characteristics of the enhanced corn silk was determined at different reflux times by FT-IR spectroscopy. The experimental data followed the pseudo second order kinetic model. The study suggested the Freundlich model show good correlation coefficients for the adsorption of crude oil on acetylated corn silk.
https://www.ije.ir/article_83377_c9be5dbfb5e71d3d830a3a047317711c.pdf
2019-02-01
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235
Degree of Hydrophobicity
Degree of Acetylation
Oil Sorption Capacity
Kinetic study
Equilibrium Isotherms
R.
Asadpour
asadpour1981@gmail.com
1
Geosciences & Petroleum Engineering Department, Universiti Teknologi PETRONAS, Malaysia
LEAD_AUTHOR
N. B.
Sapari
2
Civil and Environmental Engineering Department, Universiti Teknologi PETRONAS, Malaysia
AUTHOR
M.
Hasnain Isa
3
Civil Engineering Programme, Faculty of Engineering, Universiti Teknologi Brunei, Brunei Darussalam
AUTHOR
S.
Kakooei
4
Mechanical Engineering Department, Universiti Teknologi PETRONAS, Malaysia
AUTHOR
1. Lekomtsev, A., Vyatkin, K., & Martyushev, D., ''Performance Evaluation of Oily Waste Treatment Technology'' International Journal Of Engineering, Transactions C: Aspects, Vol.31, (2018) 511-515.
1
2. Annunciado, T., Sydenstricker, T., & Amico, S., ''Experimental investigation of various vegetable fibers as sorbent materials for oil spills'' Marine Pollution Bulletin, Vol.50, (2005) 1340-1346.
2
3. Asadpour, R., Sapari, N. B., Tuan, Z. Z., Jusoh, H., Riahi, A., & Orji, K. U., ''Application of Sorbent materials in Oil Spill management: A review'' Caspian Journal of Applied Sciences Research, Vol.2, (2013) 46-57.
3
4. Liu, T., Zhao, G., Zhang, W., Chi, H., Hou, C., & Sun, Y., ''The preparation of superhydrophobic graphene/melamine composite sponge applied in treatment of oil pollution'' Journal of Porous materials, Vol.22, (2015) 1573-1580.
4
5. Prince, R. C., & Butler, J. D., ''A protocol for assessing the effectiveness of oil spill dispersants in stimulating the biodegradation of oil'' Environmental Science and Pollution Research, Vol.21, (2014) 9506-9510.
5
6. Adebajo, M. O., Frost, R. L., Kloprogge, J. T., Carmody, O., & Kokot, S., ''Porous materials for oil spill cleanup: A review of synthesis and absorbing properties'' Journal of Porous Materials, Vol.10, (2003) 159-170.
6
7. Wei, Q., Mather, R., Fotheringham, A., & Yang, R., ''Evaluation of nonwoven polypropylene oil sorbents in marine oil-spill recovery'' Marine Pollution Bulletin, Vol.46, (2003) 780-783.
7
8. Asadpour, R., Sapari, N. B., Isa, M. H., & Orji, K. U., ''Enhancing hydrophobicity of mangrove bark by esterification for oil adsorption'' Water Science and Technology, Vol.70, (2014) 1220-1228.
8
9. Lim, T. T., & Huang, X., ''Evaluation of hydrophobicity/oleophilicity of kapok and its performance in oily water filtration: Comparison of raw and solvent-treated fibers'' Industrial Crops and Products, Vol.26, (2007) 125-134.
9
10. Asadpour, R., Sapari, N. B., Isa, M. H., & Kakooei, S., ''Acetylation of oil palm empty fruit bunch fiber as an adsorbent for removal of crude oil'' Environmental Science and Pollution Research, Vol.23, (2016) 11740-11750.
10
11. Asadpour, R., Sapari, N. B., Isa, M. H., & Orji, K. U., ''Investigation of Modified Mangrove Bark on the Sorption of Oil in Water'' Applied Mechanics and Materials, Vol.567, (2014) 74-79.
11
12. Razavi, Z., Mirghaffari, N., & Rezaei, B., ''Adsorption of crude and engine oils from water using raw rice husk'' Water Science and Technology, Vol.69, (2014) 947-952.
12
13. Asadpour, R., Sapari, N. B., Isa, M. H., Kakooei, S., Orji , K. U., & Daneshfozoun, S., ''Esterification of Corn Silk Fiber to Improve Oil Absorbency'' Advanced Materials Research, Vol.1133, (2016) 552-556.
13
14. Sun, X., Sun, R., & Sun, J., ''Acetylation of sugarcane bagasse using NBS as a catalyst under mild reaction conditions for the production of oil sorption-active materials'' Bioresource technology, Vol.95, (2004) 343-350.
14
15. Kadam, K. L., & McMillan, J. D., ''Availability of corn stover as a sustainable feedstock for bioethanol production'' Bioresource Technology, Vol.88, (2003) 17-25.
15
16. Asadpour, R., Sapari, N. B., Isa, M. H., Kakooei, S., & Orji, K. U., ''Acetylation of Corn Silk and Its Application for Oil Sorption'' Fibers and Polymers, Vol.16, (2015) 1830-1835.
16
17. Teli, M., & Valia, S. P., ''Acetylation of Jute fiber to improve oil absorbency'' Fibers and Polymers, Vol.14, (2013) 915-919.
17
18. Phillips, D. L., Liu, H., Pan, D., & Corke, H., ''General application of Raman spectroscopy for the determination of level of acetylation in modified starches'' Cereal Chemistry, Vol.76, (1999) 439-443.
18
19. Chongrak, K., Eric, H., Abidi, N., & Jean, P. G., ''Application of Methylene Blue Adsorption to Cotton Fiber Specific Surface Area Measurement: Part I. Methodology'' The Journal of Cotton Science, Vol.2, (1998) 164-173.
19
20. Sidik, S., Jalil, A., Triwahyono, S., Adam, S., Satar, M., & Hameed, B., ''Modified oil palm leaves adsorbent with enhanced hydrophobicity for crude oil removal'' Chemical Engineering Journal, Vol.203, (2012) 9-18.
20
21. Heydari, R., & Khavarpour, M., ''Adsorption of Malachite Green from Aqueous Solution by Nanozeolite Clinoptilolite: Equilibrium, Kinetic and Thermodynamic Studies'' International Journal Of Engineering, Vol.31, (2018) 1-11.
21
22. Banerjee, S. S., Joshi, M. V., & Jayaram, R. V., ''Treatment of oil spill by sorption technique using fatty acid grafted sawdust'' Chemosphere, Vol.64, (2006) 1026-1031.
22
23. Ibrahim, S., Wang, S., & Ang, H. M., ''Removal of emulsified oil from oily wastewater using agricultural waste barley straw'' Biochemical Engineering Journal, Vol.49, (2010) 78-83.
23
24. Salihi, I. U., Kutty, S. R. M., & Isa, M. H., ''Equilibrium and Kinetic Studies on Lead (II) Adsorption by Sugarcane Bagasse Derived Activated Carbon'' International Journal of Engineering, Transactions B: Applications, Vol.30, (2017) 1647-1653.
24
ORIGINAL_ARTICLE
Finite Time Terminal Synergetic Controller for Nonlinear Helicopter Model
In this paper, an almost new control approach called terminal synergetic control which works based on user defined manifold is applied to a nonlinear helicopter model. Stability analysis is convestigated using Lyapunov stability theory. Synergetic controller is applied to this nonlinear fifth-order helicopter model to control height and angle. Simulation results showed that it has faster and smoother response in tracking reference inputs in comparison to sliding mode control, intelligent autopilot controller and feedback linearization method.
https://www.ije.ir/article_82480_bfb749fe60e3f20ebf70b10c5aaf7745.pdf
2019-02-01
236
241
Helicopter
Nonlinear Model
Multi input-Multi output
synergetic control
A.
Ahifar
azadeh.ahifar@yahoo.com
1
Department of Control Engienering, Babol Nooshirvani University of Technology, Babol, Iran
LEAD_AUTHOR
A.
Ranjbar N.
2
Department of Control Engienering, Babol Nooshirvani University of Technology, Babol, Iran
AUTHOR
Z.
Rahmani
3
Department of Control Engienering, Babol Nooshirvani University of Technology, Babol, Iran
AUTHOR
1. Hamidi, H., Mortazave, H., and Salahshoor, A., “Designing and Modeling a Control System for Aircraft in the Presence of Wind Disturbance (Technical Note)”, International Journal of Engineering - Transactions C: Aspects, Vol. 30, No. 12, (2017), 1856–1862.
1
2. McLean, S., “Revolution as an Angel from the Sky: George Griffith’s Aeronautical Speculation”, Gregory Lynall Scriblerian Projections of Longitude: Arbuthnot, Swift, and the Agency of Satire in a Culture of Invention 19 Bernard Lightman, Vol. 7, No. 2, (2014), 37–61.
2
3. Kolesnikov, A., G. Veselov, and A. Kolesnikov. “Modern applied control theory: synergetic approach in control theory”, TRTU, Moscow, Taganrog, (2000).
3
4. Santi, E., Monti, A., Li, D., Proddutur, K., and Dougal, R.A., “Synergetic control for DC-DC boost converter: implementation options”, IEEE Transactions on Industry Applications, Vol. 39, No. 6, (2003), 1803–1813.
4
5. Kienitz, K.H., Wu, Q.H., and Mansour, M., “Robust stabilization of a helicopter model”, In 29th IEEE Conference on Decision and Control, IEEE, (1990), 2607–2612.
5
6. Ham, C., Kaloust, J., and Qu, Z., “Nonlinear autopilot control design for a 2-DOF helicopter model”, IEE Proceedings - Control Theory and Applications, Vol. 144, No. 6, (1997), 612–616.
6
7. Malekzadeh, M., and Shahbazi, B., “Robust Attitude Control of Spacecraft Simulator with External Disturbances”, International Journal of Engineering - Transactions A: Basics, Vol. 30, No. 4, (2017), 567–574.
7
8. Jafarzadeh, S., Mirheidari, R., Jahed Motlagh, M. R., Barkhordari, M., “Intelligent Autopilot Control Design for a 2-DOF Helicopter Model”, International Journal of Computers, Communications & Control , Vol. 3, No. 3, (2008), 337–342.
8
9. Murphey, T., and Burdick, J., “A local controllability test for nonlinear multiple model systems”, In Proceedings of the 2002 American Control Conference, IEEE, (2002), Vol. 6, 4657–4661.
9
10. Bezuglov, A., Kolesnikov, A., Kondratiev, I., and Vargas, J., “Synergetic control theory approach for solving systems of nonlinear equations”, In Proceedings of the 9th World Multi-Conference on Systemics, Cybernetics and Informatics, (2005), 121–126.
10
11. Moghanloo, D., and Ghasemi, R., “Observer Based Fuzzy Terminal Sliding Mode Controller Design for a Class of Fractional Order Chaotic Nonlinear Systems”, International Journal of Engineering - Transactions B: Applications, Vol. 29, No. 11, (2016), 1574–1581.
11
12. Soltani, J., and Abootorabi Zarchi, H., “Robust optimal speed tracking control of a current sensorless synchronous reluctance motor drive using a new sliding mode controller”, In The Fifth International Conference on Power Electronics and Drive Systems, IEEE, (2004), 474–479.
12
13. Venkataraman, S.T., and Gulati, S., “Terminal sliding modes: a new approach to nonlinear control synthesis”, In Fifth International Conference on Advanced Robotics ’Robots in Unstructured Environments, IEEE, Vol. 1, (1991), 443–448.
13
14. Feng, Y., Han, F., and Yu, X., “Chattering free full-order sliding-mode control”, Automatica, Vol. 50, No. 4, (2014), 1310–1314.
14
15. Plestan, F., Shtessel, Y., Brégeault, V., and Poznyak, A., “New methodologies for adaptive sliding mode control”, International Journal of Control, Vol. 83, No. 9, (2010), 1907–1919.
15
16. Ho, H.F., Wong, Y.K., and Rad, A.B., “Adaptive fuzzy sliding mode control with chattering elimination for nonlinear SISO systems”, Simulation Modelling Practice and Theory, Vol. 17, No. 7, (2009), 1199–1210.
16
17. Abderrezek, H., and Harmas, M., “Particle swarm optimisation of a terminal synergetic controllers for a DC-DC converter”, World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, Vol. 8, No. 8, (2014), 1248–1254.
17
18. Zribi, M., Ahmad, S., and Sira-Ramirez, H., “Dynamical sliding mode control approach for vertical flight regulation in helicopters”, IEE Proceedings - Control Theory and Applications, Vol. 141, No. 1, (1994), 19–24.
18
19. Ebert, F., Driscoll, J., and Sweet, D., “Helicopter engine control having yaw input anticipation”, U.S. Patent No. 5,265,825, Washington, DC: U.S. Patent and Trademark Office, (1993).
19
ORIGINAL_ARTICLE
Islanding Detection Method of Distributed Generation Based on Wavenet
Due to the increasing need to distributed energy resources in power systems, their problems should be studied. One of the main problem of distributed energy resources is unplanned islanding. The unplanned islanding has some dangers to the power systems and the repairman which are works with the incorrect devices. In this paper, a passive local method is proposed. The proposed method is based on wavelet transform and a new classifier named as wavenet. The wavelet transform is used to extract features from the current waveform of current at the point of common coupling (PCC) point. PCC is assumed as the connection point of distributed generation to the distribution system. The proposed method is implemented on a 15 bus grid in MATLAB/SIMULINK software. The results show the high accuracy of islanding detection of the proposed method. In this paper, one wind turbine is assumed as a distributed resource.
https://www.ije.ir/article_82482_fa73bb14e8dcb7feeff88d86e89ae04f.pdf
2019-02-01
242
248
Islanding Detection
wavelet transform
Feature Extraction
Wavenet
M.
Gholami
m.gholami@mazust.ac.ir
1
Department of Electrical Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran
LEAD_AUTHOR
1. Kouhi, S., Ranjbar, M., Mohammadian, M. and Khavaninzadeh, M., "Economic aspect of fuel cell power as distributed generation", International Journal of Engineering Transactions A: Basics, Vol. 27, No. 1 (2014) 57-62.
1
2. Ashtiani, N.A., Gholami, M. and Gharehpetian, G., "Optimal allocation of energy storage systems in connected microgrid to minimize the energy cost", in Electrical Power Distribution Networks (EPDC), 2014 19th Conference on, IEEE, (2014), 25-28.
2
3. Khamis, A., Shareef, H., Bizkevelci, E. and Khatib, T., "A review of islanding detection techniques for renewable distributed generation systems", Renewable and Sustainable Energy Reviews, Vol. 28, (2013), 483-493.
3
4. Redfern, M., Usta, O. and Fielding, G., "Protection against loss of utility grid supply for a dispersed storage and generation unit", IEEE Transactions on Power Delivery, Vol. 8, No. 3, (1993), 948-954.
4
5. Xu, W., Mauch, K. and Martel, S., "An assessment of dg islanding detection methods and issues for canada, report# cetc-varennes 2004-074 (tr), canmet energy technology centre–varennes", Natural Resources Canada, (2004).
5
6. Karegar, H.K. and Sobhani, B., "Wavelet transform method for islanding detection of wind turbines", Renewable Energy, Vol. 38, No. 1, (2012), 94-106.
6
7. Pham, J.-P., Denboer, N., Lidula, N., Perera, N. and Rajapakse, A., "Hardware implementation of an islanding detection approach based on current and voltage transients", in Electrical Power and Energy Conference (EPEC), IEEE. (2011), 152-157.
7
8. Hung, G.-K., Chang, C.-C. and Chen, C.-L., "Automatic phase-shift method for islanding detection of grid-connected photovoltaic inverters", IEEE Transactions on Energy Conversion, Vol. 18, No. 1, (2003), 169-173.
8
9. Zeineldin, H. and Kennedy, S., "Sandia frequency-shift parameter selection to eliminate nondetection zones", IEEE Transactions on Power Delivery, Vol. 24, No. 1, (2009), 486-487.
9
10. Zeineldin, H. and Conti, S., "Sandia frequency shift parameter selection for multi-inverter systems to eliminate non-detection zone", IET Renewable Power Generation, Vol. 5, No. 2, (2011), 175-183.
10
11. Zeineldin, H.H. and Salama, M.M., "Impact of load frequency dependence on the ndz and performance of the sfs islanding detection method", IEEE Transactions on Industrial Electronics, Vol. 58, No. 1, (2011), 139-146.
11
12. Lopes, L.A. and Sun, H., "Performance assessment of active frequency drifting islanding detection methods", IEEE Transactions on Energy Conversion, Vol. 21, No. 1, (2006), 171-180.
12
13. Du, P., Ye, Z., Aponte, E.E., Nelson, J.K. and Fan, L., "Positive-feedback-based active anti-islanding schemes for inverter-based distributed generators: Basic principle, design guideline and performance analysis", IEEE Transactions on Power Electronics, Vol. 25, No. 12, (2010), 2941-2948.
13
14. Yafaoui, A., Wu, B. and Kouro, S., "Improved active frequency drift anti-islanding detection method for grid connected photovoltaic systems", IEEE Transactions on Power Electronics, Vol. 27, No. 5, (2012), 2367-2375.
14
15. Karimi, H., Yazdani, A. and Iravani, R., "Negative-sequence current injection for fast islanding detection of a distributed resource unit", IEEE Transactions on Power Electronics, Vol. 23, No. 1, (2008), 298-307.
15
16. Ropp, M.E., Begovic, M., Rohatgi, A., Kern, G.A., Bonn, R. and Gonzalez, S., "Determining the relative effectiveness of islanding detection methods using phase criteria and nondetection zones", IEEE Transactions on Energy Conversion, Vol. 15, No. 3, (2000), 290-296.
16
17. Funabashi, T., Koyanagi, K. and Yokoyama, R., "A review of islanding detection methods for distributed resources", in Power Tech Conference Proceedings, 2003 IEEE Bologna, IEEE. Vol. 2, (2003) 6. doi: 10.1109/PTC.2003.1304617
17
18. Jang, S.-I. and Kim, K.-H., "An islanding detection method for distributed generations using voltage unbalance and total harmonic distortion of current", IEEE Transactions on Power Delivery, Vol. 19, No. 2, (2004), 745-752.
18
19. Freitas, W., Huang, Z. and Xu, W., "A practical method for assessing the effectiveness of vector surge relays for distributed generation applications", IEEE Transactions on Power Delivery, Vol. 20, No. 1, (2005), 57-63.
19
20. Hagh, M.T. and Ghadimi, N., "Radial basis neural network based islanding detection in distributed generation", International Journal of Engineering, Transactions A: Basics, Vol. 27, No. 7, (2013), 1061-1070.
20
21. Zeineldin, H. and Kirtley, J.L., "Performance of the OVP/UVP and OFP/UFP method with voltage and frequency dependent loads", IEEE (2009). http://hdl.handle.net/1721.1/73162
21
22. Bae, B.-Y., Jeong, J.-K., Lee, J.-H. and Han, B.-M., "Islanding detection method for inverter-based distributed generation systems using a signal cross-correlation scheme", Journal of Power Electronics, Vol. 10, No. 6, (2010), 762-768.
22
23. Bakhshi, M., Noroozian, R. and Gharehpetian, G., "Islanding detection scheme based on adaptive identifier signal estimation method", ISA Transactions, Vol. 71, (2017), 328-340.
23
24. Vatani, M., Sanjari, M.J. and Gharehpetian, G.B., "Islanding detection in multiple‐dg microgrid by utility side current measurement", International Transactions on Electrical Energy Systems, Vol. 25, No. 9, (2015), 1905-1922.
24
25. Bakhshi, M., Noroozian, R. and Gharehpetian, G.B., "Novel islanding detection method for multiple dgs based on forced helmholtz oscillator", IEEE Transactions on Smart Grid, Vol. 9, No. 6, (2017), 6448 - 6460.
25
26. Ray, P.K., Mohanty, S.R. and Kishor, N., "Disturbance detection in grid-connected distributed generation system using wavelet and s-transform", Electric Power Systems Research, Vol. 8, No. 3, (2011), 805-819.
26
27. Ezzt, M., Marei, M., Abdel-Rahman, M. and Mansour, M., "A hybrid strategy for distributed generators islanding detection", in IEEE PES Power Africa 2007 Conference and Exposition Johannesburg, South Africa, (2007).
27
ORIGINAL_ARTICLE
Adaptive Image Dehazing via Improving Dark Channel Prior
The dark channel prior (DCP) technique is an effective method to enhance hazy images. Dark channel is an image with the same size as the hazy image which represents the haze severity in different places of the image. The DCP method suffers from two problems: it is incapable for removing haze from smooth regions, causing blocking effects on these areas; it cannot properly reduce a haze with a non-monotonic behavior. In this paper, an adaptive image dehazing method is proposed based on the DCP method to solve the problem of this method. In this method, to overcome the dark channel deficiency of the blocking effects, the dark channel is initially extracted. The hazy image is subsequently segmented into smooth and non-smooth regions. Regarding the smooth regions, the pixel values in the dark channel are reduced by dividing them with a rather great number. To solve the second problem, depending upon the haze severity, the haze removing technique is applied repeatedly until all the regions of the image are enhanced. Finally, the Gamma correction approach is used for contrast enhancement of the smooth regions. The performed subjective and objective comparison attest the superiority of the proposed method to the DCP one in removing the haze.
https://www.ije.ir/article_82483_13d80a4aad31aa9ab56fe466606af236.pdf
2019-02-01
249
255
Dehazing
image enhancement
Dark channel prior
Segmentation
F.
Azari Nasrabad
1
Faculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Iran
AUTHOR
H.
Hassanpour
2
Faculty of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Iran
AUTHOR
S.
Asadi Amiri
s.asadi@umz.ac.ir
3
Department of Technology and Engineering, University of Mazandaran, Babolsar, Iran
LEAD_AUTHOR
1. Gao, Y., Hu, HM., Wang, S. and Li, B., “A fast image dehazing algorithm based on negative correction”, Elsevier Signal Processing, Vol. 2, (2014), 380-398.
1
2. Schechner, Y. Y., Narasimhan, S. G. and Nayar, S. K., “Instant dehazing of images using polarization”, IEEE Computer Vision and Pattern Recognition, Vol. 1, (2001), 325-332.
2
3. Shwartz, S., Namer, E. and Schechner, Y. Y., “Blind haze separation”, IEEE Computer Vision and Pattern Recognition, Vol. 2, (2006), 1984-1991.
3
4. Narasimhan, S. G. and Nayar, S. K., “Chromatic framework for vision in bad weather”, IEEE Computer Vision and Pattern Recognition, Vol. 1, (2000), 598-605.
4
5. Nayar, S.K. and Narasimhan, S.G., “vision in bad weather”, IEEE Computer Vision, Vol. 2, (1999), 820-827.
5
6. Narasimhan, S. G. and Nayar, S. K., “Contrast Restoration of Weather Degraded Images”, IEEE Pattern Analysis and Machine Intelligence, Vol. 25, (2003), 713-724.
6
7. Kopf, J., Neubert, B., Chen, B. Cohen, M., Cohen, D., Deussen, O., Uyttendaele, M. and Lischinski, D., “Deep photo: model-based photograph enhancement and viewing”, Association for Computing Machinery, Vol.27, (2008), 116.
7
8. Narasimhan, S. G. and Nayar, S. K. “Interactive deweathering of an image using physical models”, IEEE Workshop Color and Photometric Methods in Computer Vision, Vol.6, (2003), 1.
8
9. Tan, R., “Visibility in bad weather from a single image”, IEEE Computer Vision and Pattern Recognition, Vol. 25, (2008), 1-8.
9
10. Fattal, R., “Single image dehazing”, Analysis and Machine Intelligence, Vol.27, (2008), 72.
10
11. Fan, X. and Luo, z., “Haze editing with natural transmission”, The Visual Computer, Vol. 32, (2016), 137-147.
11
12. Galdran, A. “Image dehazing by artificial multiple-exposure image fusion”, Signal Processing, Vol. 149, (2018), 135-147.
12
13. He, K., Sun, J. and Tang, X., “Single image haze removal using dark channel prior”, IEEE Computer Vision and Pattern Recognition, Vol. 33, (2011), 2341-2353.
13
14. He, K., Sun, J. and Tang, X., “Guided Image Filtering”, Pattern Analysis, Vol.35, (2013), 1397–1409.
14
15. Li, Z. and Zheng, J., “Single image de-hazing using globally guided image filtering”, IEEE Transactions on Image Processing, Vol. 27, (2018), 442-450.
15
16. Tarel, J. and Hautiere, N., “Fast visibility restoration from a single color or gray level image”, Computer Vision, Vol.16, (2009), 2201-2208.
16
17. Hassanpour, H., Azari, F. and Asadi, S., “Improving Dark Channel Prior for Single Image Dehazing”, International Journal of Engineering, Transactions C: Aspects, Vol. 28, No. 6, (2015), 880-887.
17
18. Bai, L. and Wu, Y., “Real time image haze removal on multi-core DSP”, Procedia Engineering, Vol. 99, (2015), 244-252.
18
19. Ranota, H. and Kaur, P., “A new single image dehazing approach using modified dark channel prior”, Advances in Intelligent Informatics, Vol. 98, (2015), 77-85.
19
20. Zeng, Y. and Liu, X., “A multi-scale fusion-based dark channel prior dehazing algorithm”, International Conference on Graphic and Image Processing, Vol. 6, (2014), 94-98.
20
21. Hung, C., Lin, Y. and Wang, H., “Image haze removal of optimized contrast enhancement based on GPU”, Springer Singapore, Vol. 3, (2016), 53-63.
21
22. Asadi, S. and Hassanpour, H., “A preprocessing approach for image analysis using gamma correction”, International Journal of Computer Applications, Vol. 38, (2012), 38-46.
22
23. Hassanpour, H., Yousefian, H. and Zehtabian, A., “Pixon-based image segmentation in Image Segmentation”, Intech pen Access Publisher, Vol. 2, (2011), 495-515.
23
24. Fattal, R., and Raanan, A., “Dehazing using Color-Lines”, http://www.cs.huji.ac.il/~raananf/projects/dehaze_cl/results. Accessed 12 August 2016.
24
25. Carvalho, F., “Fuzzy c-means clustering methods for symbolic interval data”, Pattern Recognition Letters, Vol. 28, (2007), 423-437.
25
26. Ma, K., Duanmu, Z., Wu, Q., Wang, Z., Yong, H., Li, H. and Zhang, L., “Waterloo exploration database: New challenges for image quality assessment models”, IEEE Transactions on Image Processing, Vol. 26, (2017), 1004-1016.
26
27. Hassanpour, H. and Asadi, S., “Image quality enhancement using pixel wise gamma correction”, International Journal of Engineering, Transactions B: Applications, Vol. 24, No. 4, (2011), 301-311.
27
ORIGINAL_ARTICLE
Novel Unified Control Method of Induction and Permanent Magnet Synchronous Motors
Many control schemes have been proposed for induction motor and permanent magnet synchronous motor control, which are almost highly complex and non-linear. Also, a simple and efficient method for unified control of the electric moto are rarely investigated. In this paper, a novel control method based on rotor flux orientation is proposed. The novelties of proposed method are elimination of q-axis current loop (one controller is omitted) and utilization of a new dynamic current rate limiter. Also, unlike the conventional methods, the proposed control method could be applied on both induction motor and permanent magnet synchronous motor with only minor modifications. In addition to mentioned advantages, the torque ripple and current harmonic is reduced, too. Theoretical survey and simulation results clearly show the capability of proposed method for high and low speed applications in steady and transient states. Many control schemes have been proposed for induction motor and permanent magnet synchronous motor control, which are almost highly complex and non-linear. Also, a simple and efficient method for unified control of the electric moto are rarely investigated. In this paper, a novel control method based on rotor flux orientation is proposed. The novelties of proposed method are elimination of q-axis current loop (one controller is omitted) and utilization of a new dynamic current rate limiter. Also, unlike the conventional methods, the proposed control method could be applied on both induction motor and permanent magnet synchronous motor with only minor modifications. In addition to mentioned advantages, the torque ripple and current harmonic is reduced, too. Theoretical survey and simulation results clearly show the capability of proposed method for high and low speed applications in steady and transient states.
https://www.ije.ir/article_82485_d57638a39c0029cc35f68decdc5b9733.pdf
2019-02-01
256
269
Permanent Magnet Synchronous Motor
Dynamic current rate limiter
field oriented control
Induction motor
Unified method
PI controller
M.
Sahebjam
mehdi.sahebjam@tabrizu.ac.ir
1
Faculty of Electrical and Computer Engineering, Tabriz University, Tabriz, Iran
LEAD_AUTHOR
M. B.
Bannae Sharifian
2
Faculty of Electrical and Computer Engineering, Tabriz University, Tabriz, Iran
AUTHOR
M. R.
Feyzi
3
Faculty of Electrical and Computer Engineering, Tabriz University, Tabriz, Iran
AUTHOR
M.
Sabahi
4
Faculty of Electrical and Computer Engineering, Tabriz University, Tabriz, Iran
AUTHOR
1. Y. S. Choi, H. H. Choi, and J. W. Jung, “Feedback linearization direct torque control with reduced torque and flux ripples for IPMSM drives,” IEEE Transaction on Power Electronics., Vol. 31, No. 5, (2016), 3728-3737.
1
2. L. M. Brooks, J. L. Castro, and E. L. Castro, “Speed and position controllers using indirect field oriented control: a classical control approach,” IEEE Transaction on Industrial. Electronics, Vol. 61, No. 4, (2013), 1928-1943.
2
3. A. Kronberg, "Design and simulation of field oriented control and direct torque control for a permanent magnet synchronous motor with positive saliency", Thesis for M.S. Degree, Uppsala University, (2012).
3
4. D. L. M. Nzongo, T. Jin, G. Ekemb, and L. Bitjoka, “Decoupling network of field oriented control in variable frequency drives,” IEEE Transaction On Industrial Electronics., Vol. 64, No. 7, (2017), 5746- 5750.
4
5. C. Liu and Y. Lou, “Overview of advanced control strategies for electric machines,” Chinese Journal of Electrical Engineering, Vol. 3, No. 2, (2017), 53- 61.
5
6. J. Talla, V. Q. Leu, V. Simidl, and Z. Peroutka, “Adaptive speed control of induction motor drive with inaccurate model,” IEEE Transaction on Industrial Electronics, Vol. 65, No. 11, (2018), 8532-8542.
6
7. P. D. C. Perera, F. Blaabjerg, J. K. Pedersen, and P. Thogersen, “A sensorless, stable V/f control method for permanent-magnet synchronous motor drives,” IEEE Transaction on Industry Application, Vol. 39, No. 3, (2013), 783-791.
7
8. M. Suetake, I. N. D. Silva, A. Goedtel, “Embedded DSP-based compact fuzzy system and its application for induction-motor V/f speed control,” IEEE Transaction on Industrial Electronics, Vol. 58, No. 3, (2011), 750-760.
8
9. M. Sadeghijaleh, M. M Fateh, “Adaptive Voltage-based Control of Direct-drive Robots Driven by Permanent Magnet Synchronous Motors,” International Journal of Engineering, Transactions A: Basics, Vol. 30, No. 4, (2017), 507- 515.
9
10. S. Masomi Kazraji, M. R. Feyzi, M. B. B. Sharifian, S. Tohidi, “Sensorless Model Predictive Force Control with a Novel Weight Coefficients for 3-Phase 4-Switch Inverter Fed Linear Induction Motor Drives,” International Journal of Engineering, Transaction C: Aspects, Vol. 31, No. 9, (2018), 1536- 1545.
10
11. M. H. Holakooie, M. B. Banna Sharifian, M. R. Feyzi, “Sensorless Indirect Field Oriented Control of Single-sided Linear Induction Motor With a Novel Sliding Mode MRAS Speed Estimator,” International Journal of Engineering. Tranactions A: Basics, Vol. 28, No. 7, (2015), 1011-1020.
11
12. M. Arehpanahi, M. Fazli, “Position Control Improvement of Permanent Magnet Motor Using Model Predictive Control,” International Journal of Engineering, Tranaction A: Basics, Vol. 31, No. 7, (2018), 1044-1049.
12
13. R. Erroussi, A. A. Durra, and S. M. Muyeen, “Experimental validation of a novel PI speed controller for AC motor drives with improved transient performances,” IEEE Transaction On Control System Technology, Vol. 26, No. 4, (2018), 1414- 1421.
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14. C. Rossi and A. Tonielli, “A unifying approach to robust control of electrical motor drive,” Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation, (1992), 95-100.
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16. Yamamura, “Spiral vector theory of AC motor analysis and control,” Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting, (1991) 79-86.
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17. S. Yamamura, “Spiral vector theory of salient-pole synchronous machine,” Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting, (1992) 204-211.
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18. S. Shinnaka, “Proposition of new mathematical models with core loss factor for controlling AC motors,” Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE, Vol. 1, (1998), 297-302.
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19. S. Yamamoto, H. Hirahara, A. Tanaka, T. Ara, and K. Matsuse, “Universal sensorless vector control of induction and permanent magnet synchronous motors considering equivalent iron loss resistance,” IEEE Transaction on Industry Applications, Vol. 51, No. 2, (2014), 1259-1267.
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20. D. Casadei, A. Pilati, C. Rossi, “Unified model and field oriented control algorithm for three phase ac machines,” 2013 15th European Conference on Power Electronics and Applications (EPE), (2013), 1-13.
20
21. A. Boldea, M. C. Paicu, and G.D. Andreescu, “Active flux concept for motion-sensorless unified ac drives,” IEEE Transaction on Power Electronics ,Vol. 23, No. 5, (2008), 2612-2618.
21
22. M. Koteich, G. Duc, A. Maloum, and G. Sandou, “A unified model for low-cost high-performance AC drives: the equivalent flux concept,” 2016 Third International Conference on Electrical, Electronics, Computer Engineering and their Applications (EECEA), (2016), 71-76.
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23. L. Harnefors, M, Jansson, R. Ottersten, and K, Pietilainen, “Unified sensorless vector control of synchronous and induction motors,” IEEE. Transaction on Industrial Electronics, Vol. 50, No. 1, (2003) 153-160.
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24. L. S. Iribarnegaray and J. M. Roman, “A unified approach to the very fast torque control methods for dc and ac machines,” IEEE. Transaction on Industrial. Electronics, Vol. 54, No. 4, (2007), 2047-2056.
24
25. Y. S. Lai, “Machine modeling and universal controller for vector controlled induction motor drives,” IEEE. Transaction on Energy Conversion, Vol. 8, No. 1, (2003), 23-32.
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26. C. Lascu and I. Boldea, “The torque vector controlled (TVC) universal AC drive. Implementation aspects,” Proceedings of the 6th International Conference on Optimization of Electrical and Electronic Equipments, Vol. 2, (1998), 369-374.
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27. G. Pellegrino, R. I. Bojoi, and P. Guglielmi, “Unified direct-flux vector control for ac motor drives,” IEEE. Transaction on Industrial Applications, Vol. 47, No. 5, (2011), 2093-2102.
27
28. R. Pilla, A. S. Tummalaa, M. R. Chintalab, “Tuning of Extended Kalman Filter using Self-adaptive Differential Evolution Algorithm for Sensorless Permanent Magnet Synchronous Motor Drive,” International Journal of Engineering, Transactions B: Applications, Vol. 29, No. 11, (2016), 1565-1573.
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29. R. J. Kerkman, B. J. Seibel, T. M. Rowan, and D.W. Schlegel, “A New Flux and Stator Resistance Identifier for AC Drive System,” IEEE Transaction on Industrial Application, Vol. 32, No. 3, (1996), 585-593.
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30. M. Rashid, P. F. A. MacConnell, A.F. Stronach, and P. Acarnley, “Sensorless Indirect-Rotor-Field-Orientation Speed Control of a Permanent-Magnet Synchronous Motor With Stator-Resistance Estimation,” IEEE Transaction on Industrial Electronics, Vol. 54, No. 3, (2007), 1664-1675.
30
ORIGINAL_ARTICLE
Designing a Robust Control Scheme for Robotic Systems with an Adaptive Observer
This paper introduces a robust task-space control scheme for a robotic system with an adaptive observer. The proposed approach does not require the availability of the system states and an adaptive observer is developed to estimate the state variables. These estimated states are then used in the control scheme. First, the dynamic model of a robot is derived. Next, an observer-based robust control scheme is designed to compensate the uncertainties occurring in the control system. Moreover, upper bound of the lumped uncertainty is essential in the design of the robust controller. However, the upper bound of the lumped uncertainty is difficult to obtain in practical applications. Therefore, an adaptive law is derived to adapt the value of the lumped uncertainty, and an adaptive observer-based robust task-space controller is obtained. In this paper, we proved that the proposed adaptive observer-based controller can guarantee that the task-space tracking error and also the observation error converge to zero. To demonstrate the effectiveness of the proposed method, simulation results are illustrated in this paper.
https://www.ije.ir/article_82486_df6f45139b5e2d29f3f70ee7e3a00525.pdf
2019-02-01
270
276
Robust Control
Adaptive observer
Robotic Systems
Task-Space Control
R.
Gholipour
rezagholipourr@gmail.com
1
Department of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, Iran
LEAD_AUTHOR
M. M.
Fateh
2
Department of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, Iran
AUTHOR
1. Tang, G., Webb, P. and Thrower, J., “The development and evaluation of Robot Light Skin: A novel robot signalling system to improve communication in industrial human–robot collaboration”, Robotics and Computer-Integrated Manufacturing, Vol. 56, (2019), 85-94.
1
2. Yoon, H.S., Jeong, J.H. and Yi, B.J., 2018. Image-Guided Dual Master–Slave Robotic System for Maxillary Sinus Surgery. IEEE Transactions on Robotics, Vol. 34, No. 4, (2018), 1098-1111.
2
3. Bouteraa, Y., Abdallah, I.B. and Ghommam, J., “Task-space region-reaching control for medical robot manipulator”, Computers & Electrical Engineering, Vol. 67, (2018), 629-645.
3
4. Khorashadizadeh, S. and Fateh, M.M., “Uncertainty estimation in robust tracking control of robot manipulators using the Fourier series expansion”, Robotica, Vol. 35, No. 2, (2017), 310-336.
4
5. Kumar, V.M. and Thipesh, D.S.H., “Robot ARM performing writing through speech recognition using dynamic time warping algorithm”, International Journal of Engineering, Transactions B: Applications, Vol. 30, No. 8, (2017), 1238-1245.
5
6. Sangdani, M.H. and Tavakolpour-Saleh, A.R., “Parameters Identification of an Experimental Vision-based Target Tracker Robot Using Genetic Algorithm”, International Journal of Engineering, Transactions C: Aspects,Vol. 31, No. 3, (2018), 480-486.
6
7. Khorashadizadeh, S. and Fateh, M.M., “Robust task-space control of robot manipulators using Legendre polynomials for uncertainty estimation”, Nonlinear Dynamics, Vol. 79, No. 2, (2015), 1151-1161.
7
8. Gholipour, R., Khosravi, A. and Mojallali, H., “Parameter estimation of loranz chaotic dynamic system using bees algorithm”, International Journal of Engineering, Transactions C: Aspects,Vol. 26, No. 3, (2013), 257-262.
8
9. Wang, Y., Chai, T. and Zhang, Y., “State observer-based adaptive fuzzy output-feedback control for a class of uncertain nonlinear systems”, Information Sciences, Vol. 180, No. 24, (2010), 5029-5040.
9
10. Fateh, M.M. and Sadeghijaleh, M., “Voltage control strategy for direct-drive robots driven by permanent magnet synchronous motors”, International Journal of Engineering, Transactions B: Applications, Vol. 28, No. 5, (2015), 709-716.
10
11. Lee, D., “Nonlinear disturbance observer-based robust control for spacecraft formation flying”, Aerospace Science and Technology, Vol. 76, (2018), 82-90.
11
12. Kaheni, M., Hadad Zarif, M., Akbarzadeh Kalat, A. and Fadali, M.S., “Radial Pole Paths SVSC for Linear Time Invariant Multi Input Systems with Constrained Inputs”, Asian Journal of Control, https://doi.org/10.1002/asjc.1923, (2020).
12
13. Kaheni, M., Hadad Zarif, M., Akbarzadeh Kalat, A. and Sami Fadali, M., “Soft Variable Structure Control of Linear Systems via Desired Pole Paths”, Information Technology And Control, Vol. 47, No. 3, (2018), 447-456.
13
14. Gholipour, R., Khosravi, A. and Mojallali, H., “Multi-objective optimal backstepping controller design for chaos control in a rod-type plasma torch system using Bees Algorithm”, Applied Mathematical Modelling, Vol. 39, No. 15, (2015), 4432-4444.
14
15. Gholipour, R., Khosravi, A. and Mojallali, H., “Suppression of chaotic behavior in duffing-holmes system using back-stepping controller optimized by unified particle swarm optimization algorithm”, International Journal of Engineering, Transactions B: Applications, Vol. 26, No. 11, (2013), 1299-1306.
15
16. Gholipour, R., Khosravi, A. and Mojallali, H., “Bees algorithm based intelligent backstepping controller tuning for Gyro system”, The Journal of Mathematics and Computer Science, Vol. 5, No. 3, (2012), 205-211.
16
17. Gholipour, R., Khosravi, A. and Mojallali, H., “Intelligent Backstepping Control for Genesio-Tesi ChaoticSystem Using a Chaotic Particle Swarm OptimizationAlgorithm”, International Journal of Computer and Electrical Engineering, Vol. 4, No. 5, (2012), 618-625.
17
18. Leu, Y.G., Wang, W.Y. and Lee, T.T., “Observer-based direct adaptive fuzzy-neural control for nonaffine nonlinear systems”, IEEE Transactions on Neural networks, Vol. 16, No. 4, (2005), 853-861.
18
19. Gholipour, R. and Fateh, M.M., “Adaptive task-space control of robot manipulators using the Fourier series expansion without task-space velocity measurements”, Measurement, Vol. 123, (2018), 285-292.
19
20. Gholipour, R. and Fateh, M.M., “Observer-based robust task-space control of robot manipulators using Legendre polynomial”, In Electrical Engineering (ICEE), Iranian Conference on, IEEE, (2017), 766-771.
20
21. Spong, M.W., Hutchinson, S. and Vidyasagar, M., “Robot modeling and control”, Vol. 3. New York: Wiley, (2006), 187-227.
21
22. Izadbakhsh, A. and Khorashadizadeh, S., “Robust task-space control of robot manipulators using differential equations for uncertainty estimation”, Robotica, Vol. 35, No. 9, (2017), 1923-1938.
22
23. Lin, F.J., Chen, S.G. and Sun, I.F., “Intelligent sliding-mode position control using recurrent wavelet fuzzy neural network for electrical power steering system” International Journal of Fuzzy Systems, Vol. 19, No. 5, (2017), 1344-1361.
23
24. Lin, F.J., Chen, S.G. and Sun, I.F., “Adaptive backstepping control of six‐phase PMSM using functional link radial basis function network uncertainty observer”, Asian Journal of Control, Vol. 19, No. 6, (2017), 2255-2269.
24
25. Slotine, J.J.E. and Li, W., “Applied nonlinear control”, (Vol. 199, No. 1). Englewood Cliffs, NJ: Prentice hall, (1991).
25
26. Khorashadizadeh, S. and Majidi, M.H., “Chaos synchronization using the Fourier series expansion with application to secure communications”, AEU-International Journal of Electronics and Communications, Vol. 82, (2017), 37-44.
26
27. Khorashadizadeh, S. and Sadeghijaleh, M., “Adaptive fuzzy tracking control of robot manipulators actuated by permanent magnet synchronous motors”, Computers & Electrical Engineering, Vol. 72, (2018), 100-111.
27
28. Fateh, M.M. and Baluchzadeh, M., “Modeling and robust discrete LQ repetitive control of electrically driven robots”, International Journal of Automation and Computing, Vol. 10, No. 5, (2013), 472-480.
28
29. Gholipour, R., Addeh, J., Mojallali, H. and Khosravi, A., “Multi-Objective Evolutionary Optimization of PID Controller by Chaotic Particle Swarm Optimization”, International Journal of Computer and Electrical Engineering, Vol. 4, No. 6, (2012) 833-838.
29
30. Mojallali, H., Gholipour, R., Khosravi, A. and Babaee, H., “Application of chaotic particle swarm optimization to PID parameter tuning in ball and hoop system”, International Journal of Computer and Electrical Engineering, Vol. 4, No. 4, (2012), 452-457.
30
31. Sedighizadeh, M. and Kashani, M.F., “A tribe particle swarm optimization for parameter identification of proton exchange membrane fuel cell”, International Journal of Engineering-Transactions A: Basics, Vol. 28, No. 1, (2014), 16-24.
31
32. Jam, S., Shahbahrami, A. and Ziyabari, S.H.S., “Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform”, International Journal of Engineering, Transactions A: Basics, Vol. 30, No. 1, (2017), 48-56.
32
33. Jafaripanah, S., Dehghani, A. and Bakhshi, H., “Using the Genetic Algorithm based on the Riedel Equation to Predict the Vapor Pressure of Organic Compounds”, International Journal of Engineering, Transactions C: Aspects, Vol. 31, No. 6, (2018), 863-869.
33
34. Xiang, Y., Zhou, Y., Tang, L. and Chen, Z., “A decomposition-based many-objective artificial bee colony algorithm”, IEEE Transactions on Cybernetics, Vol. 49, No. 1, (2019), 287-300.
34
ORIGINAL_ARTICLE
Voltage Regulation of a Negative Output Luo Converter Using a PD-PI Type Sliding Mode Current Controller
This paper describes a new design for direct sliding mode method with a high switching frequency using the PD-PI type sliding surface applied to a negative output Luo converter worked in continuous current mode for applications required constant power source such as aerospace applications, medical equipment and etc. Because of the output power and line changes, the converter model is also nonlinear and time varying. In addition, losses dissipation and voltage drops caused a deviation between the theoretical and actual output voltage of this converter. For improvement of the converter performance along with the current and voltage regulations, a nonlinear controller is required. This suggested controller is proper to inherently variable structure of the converter and can cope with nonlinearities associated with its model. The goal is to ensure a satisfactory response for the converter. The practical results showed that the proposed strategy helps to eliminate the voltage error along with continuous current operation of the converter in very light loads and high switching frequency in different operating points.
https://www.ije.ir/article_83379_a954c1ef7fbe4a867d7e941b43d44408.pdf
2019-02-01
277
285
Switching Converter
Negative Output Luo Converter
PD-PI Type Sliding Surface
Control Design
A.
Goudarzian
alireza9071@gmail.com
1
Department of Electrical Engineering, Faculty of Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
LEAD_AUTHOR
A.
Khosravi
2
Department of Electrical Engineering, Faculty of Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
AUTHOR
Prabhakar, M., “High gain dc-dc converter using active clamp circuit (research note)”, International Journal of Engineering-Transactions A: Basics, Vol. 27, No. 1, (2013), 123-130.
1
Adell, P. C., Witulski, A. F., Schrimpf, R. D., Baronti, F., et al., “Digital control for radiation-Hardened switching converters in space”, IEEE Transactions on Aerospace and Electronic Systems, Vol. 46, No. 2, (2010), 761-770.
2
Goudarzian, A., Nasiri, H., Abjadi, N., “Design and implementation of a constant frequency sliding mode controller for a Luo converter”, International Journal of Engineering-Transactions B: Applications, Vol. 29, No. 2, (2016), 202-210.
3
Forouzesh, M., Siwakoti, Y., Gorji, A., Blaabjerg, F., Lehman, B., “Step-up dc/dc converters: a comprehensive review of voltage boosting techniques, topologies, and applications”, IEEE Transactions on Power Electronics, Vol. 32, No. 12, (2017), 9143-9178.
4
Babu, R., Deepa, S., Jothivel, S., “A closed loop control of quadratic boost converter using PID-controller”, International Journal of Engineering-Transactions B: Applications, Vol. 27, No. 11, (2014), 1653-1662
5
Sarvi, M., Derakhshan, M., Sedighi Zade, M., “A new intelligent controller for parallel dc/dc converters”, International Journal of Engineering-Transactions B: Basics, Vol. 27, No. 1, (2014), 131-142
6
Suntio, T., “On dynamic modeling of PCM-controlled converters-buck converter as an example”, IEEE Transactions on Power Electronics, Vol. 33, No. 6, (2017), 5502-5518.
7
Abjadi, N. R., Goudarzian, A. R., Arab Markadeh, Gh. R., Valipour, Z., “Reduced-order backstepping controller for POESLL DC/DC converter based on pulse width modulation”, Iranian Journal of Science and Technology, Transactions of Electrical Engineering, (2018), To be published:doi.org/10.1007/s40998-018-0096-y(01
8
Azadnia, A. H., Siahi, A., Motameni. M., “An adaptive fuzzy neural network model for bankruptcy prediction of listed companies on the Tehran stock exchange. International Journal of Engineering-Transactions C: Aspects, Vol. 30, No. 12 (2017) 1879-1884
9
Vali, M. H., Rezaie, B., Rahmani, Z., “Designing a neuro-sliding mode controller for networked control systems with packet dropout”, International Journal of Engineering-Transactions A: Basics, Vol. 29, No. 4, (2016), 490-499.
10
Goudarzian, A., Khosravi, A., “Design, analysis, and implementation of an integral terminal reduced‐order sliding mode controller for a self‐lift positive output Luo converter via Filippov's technique considering the effects of parametric resistances”, International Transactions on Electrical and Energy Systems, (2018), e2776. https://doi.org/10.1002/etep.2776.
11
Nasiri, H., Goudarzian, A., Pourbagher, R., Derakhshandeh, S. Y., “PI and PWM sliding mode control of POESLL converter”, IEEE Transactions on Aerospace and Electronic Systems, Vol. 53, No. 5, (2017), 2167-2177.
12
Qi, W., Li, S., Tan, S. C., Hui, S., “Parabolic-modulated sliding mode voltage control of buck converter”, IEEE Transactions on Industrial Electronics, Vol. 65, No. 1, (2018), 844-854.
13
Zhao, Y., Qiao, W., Ha, D., “A sliding mode duty ratio controller for dc/dc buck converters with constant power loads”, IEEE Transactions on Industrial Applications, Vol. 50, No. 2, (2014), 1448-1458.
14
Mamarelis, E., Petrone, G., Spagnuolo, G., “Design of a sliding-mode-controlled SEPIC for PV MPPT applications”, IEEE Transactions on Industrial Electronics, Vol. 61, No. 7, (2014), 3387-3398.
15
Vidal-Idiarte, E., Carrejo, C. E., Calvente, J., Martínez-Salamero, L., “Two-loop digital sliding mode control of dc/dc power converters based on predictive interpolation”, IEEE Transactions on Industrial Electronics, Vol. 58, No. 6, (2011), 2491-2501.
16
Bhat, S., Nagaraja, H. N., “DSP based proportional integral sliding mode controller for photo-voltaic system”, International Journal of Electrical Power & Energy Systems, Vol. 71, (2015), 123-130.
17
Knalil, H. K. Nonlinear Systems. Upper Saddle River, NJ: Prentice-Hall, (2002).
18
ORIGINAL_ARTICLE
Performance Analysis of a Novel Three-phase Axial Flux Switching Permanent Magnet Generator with Overlapping Concentrated Winding
This paper proposes a novel axial flux switching permanent magnet generator for small wind turbine applications. Surface mounted axial flux switching permanent magnet (SMAFSPM) machine is a new type of these machines that is introduced in this paper. One of the most important challenges in optimal designing of this kind of machines, is ease of construction and maintenance. One of the main features of this machine is putting the magnets on the surface, which makes the construction of the machine easier. The overlapped three-phase winding improves the quality of voltages and power of the machine.To reach the optimum dimensions of machine, centeral composite design (CCD) and response surface methodology (RSM) combined with 3D finite element methods have been used.
https://www.ije.ir/article_83380_86a63cd3af295a151e4d52929ef4ed70.pdf
2019-02-01
286
295
Wind Energy
Permanent Magnet Generator
Flux Switching
Design of experiments
response surface method
H.
Fekri
1
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
AUTHOR
M. A.
Shamsi-Nejad
mshamsi@birjand.ac.ir
2
Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
LEAD_AUTHOR
S. M.
Hasheminejad
3
Department of Energy, Material and Energy Research Center, Karaj, Iran
AUTHOR
1. Patel, A.N. and Suthar, B.N., "Design optimization of axial flux surface mounted permanent magnet brushless dc motor for electrical vehicle based on genetic algorithm", International Journal of Engineering, Transactions A: Basics, Vol. 31, No. 7, (2018), 1050-1056.
1
2. Kahourzade, S., Mahmoudi, A., Ping, H.W. and Uddin, M.N., "A comprehensive review of axial-flux permanent-magnet machines", Canadian Journal of Electrical Computer Engineering, Vol. 37, No. 1, (2014), 19-33.
2
3. Daghigh, A., Javadi, H. and Torkaman, H., "Design optimization of direct-coupled ironless axial flux permanent magnet synchronous wind generator with low cost and high annual energy yield", IEEE Transactions on Magnetics, Vol. 52, No. 9, (2016), 1-11.
3
4. Zhu, Z. and Howe, D., "Electrical machines and drives for electric, hybrid, and fuel cell vehicles", Proceedings of the IEEE, Vol. 95, No. 4, (2007), 746-765.
4
5. Kim, J.S., Lee, J.H., Song, J.-Y., Kim, D.-W., Kim, Y.-J. and Jung, S.-Y., "Characteristics analysis method of axial flux permanent magnet motor based on 2-d finite element analysis", IEEE Transactions on Magnetics, Vol. 53, No. 6, (2017), 1-4.
5
6. Kouhshahi, M.B., Bird, J.Z., Acharya, V., Li, K., Calvin, M. and Williams, W., "An axial flux-focusing magnetically geared motor", in Energy Conversion Congress and Exposition (ECCE), IEEE, 307-313 ., (2017)
6
7. Xia, B., Shen, J.-X., Luk, P.C.-K. and Fei, W., "Comparative study of air-cored axial-flux permanent-magnet machines with different stator winding configurations", IEEE Transactions on Industrial Electronics, Vol. 62, No. 2, (2015), 846-856.
7
8. Shao, L., Hua, W., Zhu, Z., Zhu, X., Cheng, M. and Wu, Z., "A novel flux-switching permanent magnet machine with overlapping windings", IEEE Transactions on Energy Conversion, Vol. 32, No. 1, (2017), 172-183.
8
9. Kim, J.H., Choi, W. and Sarlioglu, B., "Closed-form solution for axial flux permanent-magnet machines with a traction application study", IEEE Transactions on Industry Applications, Vol. 52, No. 2, (2016), 1775-1784.
9
10. Parviainen, A., Pyrhonen, J. and Kontkanen, P., "Axial flux permanent magnet generator with concentrated winding for small wind power applications", in Electric Machines and Drives, 2005 IEEE International Conference on,1191-1187, (2005)
10
11. Liu, X., Wang, M., Chen, D. and Xie, Q., "A variable flux axial field permanent magnet synchronous machine with a novel mechanical device", IEEE Transactions on Magnetics, Vol. 51, No. 11, (2015), 1-4.
11
12. Taran, N. and Ardebili, M., "A novel approach for efficiency and power density optimization of an axial flux permanent magnet generator through genetic algorithm and finite element analysis", in Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on, 709-714, (2014)
12
13. Saifee, A.H., Mittal, A., Laxminarayan, S.S. and Singh, M., "Design of a novel field controlled constant voltage axial flux permanent magnet generator for enhanced wind power extraction", IET Renewable Power Generation, Vol. 11, No. 7, (2017), 1018-1025.
13
14. Hao, L., Lin, M., Xu, D., Fu, X. and Zhang, W., "Static characteristics of a novel axial field flux-switching permanent magnet motor with three stator structures", IEEE Transactions on Magnetics, Vol. 50, (2014), 1-4.
14
15. Zhang, W., Liang, X. and Lin, M., "Analysis and comparison of axial field flux-switching permanent magnet machine with three different stator cores", IEEE Transactions on Applied Superconductivity, Vol. 26, No. 7, (2016), 1-6.
15
16. Lin, M., Hao, L., Li, X., Zhao, X. and Zhu, Z., "A novel axial field flux-switching permanent magnet wind power generator", IEEE Transactions on Magnetics, Vol. 47, No. 10, (2011), 4457-4460.
16
17. Kim, J.H., Li, Y. and Sarlioglu, B., "Novel six-slot four-pole axial flux-switching permanent magnet machine for electric vehicle", IEEE Transactions on Transportation Electrification, Vol. 3, No. 1, (2017), 108-117.
17
18. Fernando, N., Vakil, G., Arumugam, P., Amankwah, E., Gerada, C. and Bozhko, S.J.I.T.o.I.E., "Impact of soft magnetic material on design of high-speed permanent-magnet machines", IEEE Transactions on Industrial Electronics, Vol. 64, No. 3, (2017), 2415-2423.
18
19. Hao, L., Lin, M., Li, W., Luo, H., Fu, X. and Jin, P., "Novel dual-rotor axial field flux-switching permanent magnet machine", IEEE Transactions on Magnetics, Vol. 48, No. 11, (2012), 4232-4235.
19
20. Zhao, W., Lipo, T.A. and Kwon, B., "A novel dual-rotor, axial field, fault-tolerant flux-switching permanent magnet machine with high-torque performance", IEEE Transactions on Magnetics, Vol. 51, No. 11, (2015), 4-10.
20
21. Wang, Y., Chen, M., Ching, T. and Chau, K., "Design and analysis of a new hts axial-field flux-switching machine", IEEE Transactions on Applied Superconductivity, Vol. 25, No. 3, (2015), 1-5.
21
22. Zhang, W., Lin, M., Xu, D., Fu, X. and Hao, L., "Novel fault-tolerant design of axial field flux-switching permanent magnet machine", IEEE Transactions on Applied Superconductivity, Vol. 24, No. 3, (2014), 1-4.
22
23. Liu, X., Diao, Y., Zhang, C., Chen, D., Zuo, L. and Yi, L., "Design optimisation of an axial flux-switching hybrid excitation synchronous machine at no-load", IET Electric Power Applications, Vol. 8, No. 9, (2014), 342-348.
23
24. Zhao, J., Lin, M. and Xu, D., "Minimum-copper-loss control of hybrid excited axial field flux-switching machine", IET Electric Power Applications, Vol. 10, No. 2, (2016), 82-90.
24
25. Zhang, W., Liang, X., Lin, M., Hao, L. and Li, N., "Design and analysis of novel hybrid-excited axial field flux-switching permanent magnet machines", IEEE Transactions on Applied Superconductivity, Vol. 26, No. 4, (2016), 1-5.
25
26. Syed, Q.A.S., Kurtović, H. and Hahn, I., "New single-phase flux switching axial flux permanent magnet motor", IEEE Transactions on Magnetics, Vol. 53, No. 11, (2017), 1-5.
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28. Hao, L., Lin, M., Xu, D., Li, N. and Zhang, W., "Cogging torque reduction of axial-field flux-switching permanent magnet machine by rotor tooth notching", IEEE Transactions on Magnetics, Vol. 51, No. 11, (2015), 1-4.
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29. Xu, D., Lin, M., Fu, X., Hao, L., Zhang, W. and Li, N., "Cogging torque reduction of a hybrid axial field flux-switching permanent-magnet machine with three methods", IEEE Transactions on Applied Superconductivity, Vol. 26, No. 4, (2016), 1-5.
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30. Hao, L., Lin, M., Xu, D., Li, N. and Zhang, W., "Analysis of cogging torque reduction techniques in axial-field flux-switching permanent-magnet machine", IEEE Transactions on Applied Superconductivity, Vol. 26, No. 4, (2016), 1-5.
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32. Nejad, S.M.H. and Fekri, H., "Switching permanent magnet generator for small wind turbine ", International Journal of Inventive Engineering and Sciences, Vol. 2, No. 10, (2014), 5-8.
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33. Kazemian, M.E., Ebrahimi-Nejad, S. and Jaafarian, M., "Experimental investigation of energy consumption and performance of reverse osmosis desalination using design of experiments method", International Journal of Engineering, Transactions A: Basics, Vol. 31, No. 1, (2018), 79-87.
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35. Beigi, H. and Cheshmeh, M., "Design, optimization and fem analysis of a surface-mounted permanent-magnet brushless dc motor", International Journal of Engineering, Transactions B: Applications Vol. 31, No. 2, (2018), 339-345.
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36. Patel, A. and Suthar, B.J.I.J.O.E., "Design optimization of axial flux surface mounted permanent magnet brushless dc motor for electrical vehicle based on genetic algorithm", International Journal of Engineering, Transactions A: Basics, Vol. 31, No. 7, (2018), 1050-1056.
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38. Wu, Z., Zhu, Z. and Zhan, H., "Comparative analysis of partitioned stator flux reversal pm machines having fractional-slot nonoverlapping and integer-slot overlapping windings", IEEE Transactions on Energy Conversion, Vol. 31, No. 2, (2016), 776-788.
38
ORIGINAL_ARTICLE
Truck Scheduling in a Cross-Docking Terminal by Using Novel Robust Heuristics
Nowadays, one of the major goals of the distribution environment is to reduce lead times and inventories. Cross-docking is a logistics technique which removes the storage and picking up the functions of a warehouse. The term cross-docking refers to moving products directly from incoming to outgoing trailers with little or no storage in between. According to the recent related papers, the truck scheduling problem is one of the objectives for cross-docking systems which is divide into smaller parts. The first stage is about the assignment of the trucks to the dock doors while the second stage aims to sequence all inbound and outbound trucks, in an effective way. Therefore, for dealing with the truck scheduling problem in a cross-docking system, this paper develops five heuristics. The obtained results are compared with those from the previous works. We use many test problems in the literature that were created in different sizes to study the performance of the novel heuristics. In small and medium dimensions the minimum value which found is related to one of the methods CDH3 (Cross Dock Heuristic) which has been proposed in this paper beside in all scales the method CDH4 is the best among others. The numerical results show that the developed heuristics are able to find quick good solutions with fast convergence.
https://www.ije.ir/article_83384_78857cadbdb16cafc7f24c479c33687c.pdf
2019-02-01
296
305
cross-docking
scheduling
optimization
heuristic
I.
Seyedi
1
Department of Industrial Engineering, Payame Noor University, Tehran, Iran
AUTHOR
M.
Hamedi
maryam.hamedi@es.isfpnu.ac.ir
2
Department of Industrial Engineering, Payame Noor University, Tehran, Iran
LEAD_AUTHOR
R.
Tavakkoli-Moghaddam
3
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
AUTHOR
Cheraghalipour, A., Paydar, M.M., and Hajiaghaei-Keshteli, M., “An integrated approach for collection center selection in reverse logistics”, International Journal of Engineering-Transactions A: Basics, Vol. 30, No. 7, (2017), 1005-1016.
1
Yu, W., and Egbelu, P.J., “Scheduling of inbound and outbound trucks in cross docking systems with temporary storage”, European Journal of Operational Research, Vol. 184, (2008), 377-396.
2
Stalk, G., Evans, P., and Shulman, L.E., “Competing on capabilities: the new rules of corporate strategy”, Harvard Business Review, Vol. 70, (1992), 57-69.
3
Boysen, N., and Fliedner, M., “Cross dock scheduling: Classification, literature review and research agenda”, Omega, Vol. 38, No. 6, (2010), 413-422.
4
Stephan, K., and Boysen, N., “Cross-docking”, Journal of Management Control, Vol. 22, (2011), 129-137.
5
Van Belle, J., Valckenaers, P., and Cattrysse, D., “Cross-docking: State of the art”, Omega, Vol. 40, No. 6, (2012), 827-846.
6
Ladier, A.-L., and Alpan, G. “Cross-docking operations: Current research versus industry practice”, Omega, Vol. 62, (2016), 145-162.
7
Rohrer, M., “Simulation and cross docking”, Proceedings of the 1995 Winter Simulation Conference, Arlington, VA, USA, 3-6 (1995), 846–849.
8
Napolitano, M., “Making the move to cross docking: A practical guide to planning, designing, and implementing a cross dock operation”, Warehousing Education and Research Council, Oak Brook (2000).
9
Bartholdi, J.J., and Gue, K.R., “The best shape for a crossdock”, Transportation Science, Vol. 38, No. 2, (2004), 235-244.
10
Vahdani, B., and Zandieh, M., “Scheduling trucks in cross-docking systems: Robust meta-heuristics”, Computers and Industrial Engineering, Vol. 58, (2010), 12-24.
11
Shakeri, M., Low, M.Y.H., Turner, S.J., and Lee, E.W., “A robust two-phase heuristic algorithm for the truck scheduling problem in a resource-constrained crossdock”, Computers & Operations Research, Vol. 39, No. 11, (2012), 2564-2577.
12
Madani-Isfahani, M., Tavakkoli-Moghaddam, R., and Naderi, B., “Multiple cross-docks scheduling using two meta-heuristic algorithms”, Computers & Industrial Engineering, Vol. 74, (2014), 129-138.
13
Mohtashami, A., “A novel dynamic genetic algorithm-based method for vehicle scheduling in cross docking systems with frequent unloading operation”, Computers & Industrial Engineering, Vol. 90, (2015). 221-240.
14
Amini, A., and Tavakkoli-Moghaddam, R., “A bi-objective truck scheduling problem in a cross-docking center with probability of breakdown for trucks”, Computers & Industrial Engineering, Vol. 96, (2016), 180-191
15
Golshahi-Roudbaneh, A., Hajiaghaei-Keshteli, M., and Paydar, M. M., “Developing a lower bound and strong heuristics for a truck scheduling problem in a cross-docking center”, Knowledge-Based Systems, Vol. 129, (2017), 17-38.
16
Molavi, D., Shahmardan, A., and Sajadieh, M.S., “Truck scheduling in a cross docking systems with fixed due dates and shipment sorting”, Computers & Industrial Engineering, 117, (2018), 29-40.
17
Mohammadzadeh, H., Sahebjamnia, N., Fathollahi-Fard, A.M., and Hahiaghaei-Keshteli, M., “New approaches in metaheuristics to solve the truck scheduling problem in a cross-docking center”, International Journal of Engineering - Transactions B: Applications, Vol. 31, No. 8, (2018), 1258-1266.
18
Heidari, F., Zegordi, S. H., & Tavakkoli-Moghaddam, R. “Modeling truck scheduling problem at a cross-dock facility through a bi-objective bi-level optimization approach”, Journal of Intelligent Manufacturing, (2018), Vol 29, No 5, 1155-1170.
19
Baniamerian, A., Bashiri, M., & Tavakkoli-Moghaddam, R. “Modified variable neighborhood search and genetic algorithm for profitable heterogeneous vehicle routing problem with cross-docking”, Applied Soft Computing, Vol. 75, (2019), 441-460.
20
Abad, H. K. E., Vahdani, B., Sharifi, M., & Etebari, F. “A bi-objective model for pickup and delivery pollution-routing problem with integration and consolidation shipments in cross-docking system”, Journal of Cleaner Production, Vol. 193, (2018), 784-801.
21
Ahkamiraad, A., & Wang, Y. “Capacitated and multiple cross-docked vehicle routing problem with pickup, delivery, and time windows”, Computers & Industrial Engineering, (2018), Vol. 119, 76-84.
22
Arabani, A.B., Ghomi, S.F., and Zandieh, M., “Meta-heuristics implementation for scheduling of trucks in a cross-docking system with temporary storage”, Expert systems with Applications, Vol. 38, No. 3, (2011), 1964-1979.
23
Yu, W., “Operational strategies for cross docking systems”, Ph.D. Dissertation, Department of Industrial Engineering, Iowa State University, Ames, Iowa, (2002).
24
ORIGINAL_ARTICLE
Metallurgical and Mechanical Behavior of AISI 316- AISI 304 during Friction Welding Process
Present study focuses on the micro-structural and mechanical behavior effect of friction time for similar (AISI 316-AISI 316 and AISI 304-AISI 304) and dissimilar (AISI 304-AISI 316) joint during continuous drive friction welding. The welding carried out with different friction time: 6.5, 8.5 and 10 s while kept all other conditions constant. The effect of that time on the strength, structural and behavior of welded metals was investigated by Energy Dispersive Spectroscopy (EDAX), Scanning Electron Microscope (SEM), micro-hardness and tensile test. The obtained results illustrated that the friction time extended was responsible on some harmful mechanical and micro-structural properties of the welded joint. Therefore, increasing in friction time is led to reduce of Ultimate Tensile Strength (UTS), reduce of ductility, increasing in level of micro-hardness and larger HPDZ, that was clearly observed in similar joint (AISI 316-AISI 316 and AISI 304-AISI 304).
https://www.ije.ir/article_83389_2ed52ca3eab4ec7c8b917c68dabb5b0a.pdf
2019-02-01
306
312
Austenitic stainless steel
Friction Time
Microstructure
Micro-hardness
Ultimate Tensile Strength
A.
Jabbar Hassan
jabbarhassan1973@yahoo.fr
1
LMA, USTHB, BP. 32, El-Alia, 16111 Bab-Ezzoaur, Algiers – Algeria
LEAD_AUTHOR
T.
Boukharouba
2
LMA, USTHB, BP. 32, El-Alia, 16111 Bab-Ezzoaur, Algiers – Algeria
AUTHOR
D.
Miroud
3
LSGM, USTHB, BP. 32; El-Alia, 16111 Bab-Ezzouar, Algiers – Algeria
AUTHOR
S.
Ramtani
4
CSPBAT – LBPS, UMR 7244 CNRS, Paris University 13, Galilée Institute, 99, J.B. Clément Street, 93430 Villetaneuse, France
AUTHOR
Hasanzadeh, R., Azdast, T., Doniavi, A., Babazadeh, S., Lee, R. E., Daryadel, M., Shishavan, S. M., Welding properties of polymeric nanocomposite parts containing alumina nanoparticles in friction stir welding proces, International Journal of Engineering Transactions A: Basics, (2017), Vol. 30, No. 1, 143-151.
1
Singh, R., Rizvi, S. A., Tewari, S. P., Effect of friction stir welding on the tensile properties of aa6063 under different conditions, International Journal of Engineering. Transactions A: Basics, (2017), Vol. 30, No. 4, 597-603.
2
Shishavan, S. M., Azdast, T., Aghdam, K. M., Hasanzadeh R., Moradian M., Daryadel M., Effect of different nanoparticles and friction stir process parameters on surface hardness and morphology of acrylonitrile butadiene styrene, International Journal of Engineering Transactions A: Basics, (2018), Vol. 31, No. 7 , 1117-1122.
3
Kimura M., Kusaka M., Kaizu K., Nakata K., Nagatsuka K., Friction welding technique and joint properties of thin-walled pipe friction welded joint between type 6063 aluminium alloy and aisi 304 austenitic stainless steel, International Journal of Advanced Manufacturing Technology, (2016), 82,489-499.
4
Ç̧elik S., Güneş D., Continuous drive friction welding of al/sic composite and AISI 1030, Welding Journal, (2012), 91, 222s-228s.
5
Hazra M., Rao K.S., Reddy G.M., Friction welding of a nickel free high nitrogen steel: influence of forge force on microstructure, mechanical properties and pitting corrosion resistance, Journal of Material Research and Technology, (2014), 3, 1, 90-100.
6
Özdemir N., Investigation of the mechanical properties of friction welded joints between aisi 304l and aisi 4340 steel as a function rotational speed, Materials Letters, (2005), 59, 2504-2509.
7
Bouarroudj, E., Chikh, S., Abdi, S., Miroud, D., Thermal analysis during rotational friction welding, Applied Thermal Engineering, (2017), 110, 1543-1553.
8
Chen, Y.C., Gholinia, A., Prangnell, P.B., Interface structure and bonding in abrasion circle friction stir spot welding: A novel approach for rapid welding aluminium alloy to steel automotive sheet, Materials Chemistry and Physics, (2012), 134, 459-463.
9
Hassan, A. J., Lechelah, R., Boukharouba, T., Miroud, D., Titouche, N., Ouali, N., History of microstructure evolution and its effect on the mechanical behavior during friction welding for AISI 316, Edts. T. Boukharouba; et al., Springer International Publishing Switzerland, (2017), 51-65.
10
Satyanarayana, V.V., Madhusudhan R. G., and Mohandas, T., Dissimilar metal friction welding of austenitic–ferritic stainless steels, Journal of Material Processing Technology, (2005), 160, 128-137.
11
Uzkut, M., Ünlü, B. S., Akdağ, M., Determination of optimum welding parameters in connecting high alloyed x53crmnnin219 and x45crsi93 steels by friction welding, Bulletin of Material Science, Indian Academy of Sciences, (2011), 34, 4, 815-823.
12
Liu, F.C., and Nelson, T.W., Twining and dynamic recrystallization in austenitic alloy 718 during friction welding, Material Characterization, (2018), 140, 39-44.
13
Mitelea, I., Budau, V., Craciunescu, C., Dissimilar friction welding of induction surface hardened steels and thermo-chemically treated steels, Journal of Material Processing Technology, (2012), 212, 1892-1899.
14
ORIGINAL_ARTICLE
A Coupled Rigid-viscoplastic Numerical Modeling for Evaluating Effects of Shoulder Geometry on Friction Stir-welded Aluminum Alloys
Shoulder geometry of tool plays an important role in friction-stir welding because it controls thermal interactions and heat generation. This work is proposed and developed a coupled rigid-viscoplastic numerical modeling based on computational fluid dynamics and finite element calculations aiming to understand these interactions. Model solves mass conservation, momentum, and energy equations in three dimensions, using appropriate boundary conditions, considering mass flow as a non-Newtonian, incompressible, viscoplastic material. Boundary conditions of heat transfer and material flow were determined using a sticking/sliding contact condition at tool / workpiece interface. Thermal history, as well as shear stress and rotational speed fields, forces and torque values for three shoulder geometry conditions were calculated. Numerical results of thermal history, torque and forces during welding showed good correlation with experimentally measured data.
https://www.ije.ir/article_82487_9431966552c3530e4c692cdde06d0a6b.pdf
2019-02-01
313
321
Friction Stir Welding
Finite element model
Aluminum Alloy
Heat generation
plasticity
J.
Fabregas Villegas
1
Departamento de Ingeniería mecánica, Grupo IMTEF, Universidad Autónoma del Caribe, Barranquilla, Colombia
AUTHOR
A.
Martínez Guarín
2
Departamento de Ingeniería mecánica, Grupo ICT, Universidad de Córdoba, Montería, Colombia
AUTHOR
J.
Unfried-Silgado
jimyunfried@correo.unicordoba.edu.co
3
Departamento de Ingeniería mecánica, Grupo ICT, Universidad de Córdoba, Montería, Colombia
LEAD_AUTHOR
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13
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15
16. Schmidt, H.B., and Hattel, J.H., “Thermal modelling of friction stir welding”, Scripta Materialia, Vol. 58, No. 5, (2008), 332–337.
16
17. Ulysse, P., “Three-dimensional modeling of the friction stir-welding process”, International Journal of Machine Tools and Manufacture, Vol. 42, No. 14, (2002), 1549–1557.
17
18. He, X., Gu, F., and Ball, A., “A review of numerical analysis of friction stir welding”, Progress in Materials Science, Vol. 65, (2014), 1–66.
18
19. Chen, C.M., and Kovacevic, R., “Finite element modeling of friction stir welding—thermal and thermomechanical analysis”, International Journal of Machine Tools and Manufacture, Vol. 43, No. 13, (2003), 1319–1326.
19
20. Buffa, G., Hua, J., Shivpuri, R., and Fratini, L., “Design of the friction stir welding tool using the continuum based FEM model”, Materials Science and Engineering: A, Vol. 419, No. 1–2, (2006), 381–388.
20
21. Zhang, H.W., Zhang, Z., and Chen, J.T., “3D modeling of material flow in friction stir welding under different process parameters”, Journal of Materials Processing Technology, Vol. 183, No. 1, (2007), 62–70.
21
22. Malik, V., Sanjeev, N.K., Hebbar, H.S., and Kailas, S. V., “Investigations on the Effect of Various Tool Pin Profiles in Friction Stir Welding Using Finite Element Simulations”, Procedia Engineering, Vol. 97, (2014), 1060–1068.
22
23. Al-Badour, F., Merah, N., Shuaib, A., and Bazoune, A., “Coupled Eulerian Lagrangian finite element modeling of friction stir welding processes”, Journal of Materials Processing Technology, Vol. 213, No. 8, (2013), 1433–1439.
23
24. Su, H., Wu, C.S., Bachmann, M., and Rethmeier, M., “Numerical modeling for the effect of pin profiles on thermal and material flow characteristics in friction stir welding”, Materials & Design, Vol. 77, (2015), 114–125.
24
25. Grujicic, M., He, T., Arakere, G., Yalavarthy, H. V, Yen, C.F., and Cheeseman, B.A., “Fully coupled thermomechanical finite element analysis of material evolution during friction-stir welding of AA5083”, Proceedings of the Institution of Mechanical Engineers: Journal of Engineering Manufacture, Part B, Vol. 224, No. 4, (2010), 609–625.
25
26. Chiumenti, M., Cervera, M., Agelet de Saracibar, C., and Dialami, N., “Numerical modeling of friction stir welding processes”, Computer Methods in Applied Mechanics and Engineering, Vol. 254, (2013), 353–369.
26
27. Nandan, R., Roy, G.G., and Debroy, T., “Numerical simulation of three-dimensional heat transfer and plastic flow during friction stir welding”, Metallurgical and Materials Transactions A, Vol. 37, No. 4, (2006), 1247–1259.
27
28. Mohan, R., Rajesh, N.R., and Kumar, S.S., “Finite element modeling for maximum temperature in friction stir welding of AA 1100 and optimization of process parameter by Taguchi Method”, IJRET: International Journal of Research in Engineering and Technology, Vol. 3, No. 5, (2014), 728–733.
28
29. Nourani, M., Milani, A.S., and Yannacopoulos, S., “Taguchi optimization of process parameters in friction stir welding of 6061 aluminum alloy: A review and case study”, Engineering , Vol. 3, No. 2, (2011), 144–155.
29
30. Colegrove, P.A., and Shercliff, H.R., “3-Dimensional CFD modelling of flow round a threaded friction stir welding tool profile”, Journal of Materials Processing Technology, Vol. 169, No. 2, (2005), 320–327.
30
31. Atharifar, H., Lin, D., and Kovacevic, R., “Numerical and Experimental Investigations on the Loads Carried by the Tool During Friction Stir Welding”, Journal of Materials Engineering and Performance, Vol. 18, No. 4, (2009), 339–350.
31
32. Hasan, A.F., Bennett, C.J., and Shipway, P.H., “A numerical comparison of the flow behaviour in Friction Stir Welding (FSW) using unworn and worn tool geometries”, Materials & Design, Vol. 87, (2015), 1037–1046.
32
33. Roy, B., Medhi, T., and Saha, S.C., “Material flow modeling in friction stir welding of AA6061-T6 alloy and study of the effect of process parameters”, World Academy of Science, Engineering and Technology, International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering, Vol. 9, No. 6, (2015), 658–666.
33
34. Zhu, Y., Chen, G., Chen, Q., Zhang, G., and Shi, Q., “Simulation of material plastic flow driven by non-uniform friction force during friction stir welding and related defect prediction”, Materials & Design, Vol. 108, (2016), 400–410.
34
35. Chen, G., Shi, Q., and Zhang, S., “Recent Development and Applications of CFD Simulation for Friction Stir Welding”, In: TMS Annual Meeting & Exhibition, Springer, Cham, (2018), 113–118.
35
36. Kim, S.-D., Yoon, J.Y., and Na, S.J., “A study on the characteristics of FSW tool shapes based on CFD analysis”, Welding in the World, Vol. 61, No. 5, (2017), 915–926.
36
37. Dialami, N., Chiumenti, M., Cervera, M., and Agelet de Saracibar, C., “Challenges in Thermo-mechanical Analysis of Friction Stir Welding Processes”, Archives of Computational Methods in Engineering, Vol. 24, No. 1, (2017), 189–225.
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38. Gadakh, V.S., and Adepu, K., “Heat generation model for taper cylindrical pin profile in FSW”, Journal of Materials Research and Technology, Vol. 2, No. 4, (2013), 370–375.
38
39. Querin, J., and Schneider, J., “Developing an alternative heat indexing equation for FSW”, Welding Journal, Vol. 91, (2012), 76–82.
39
40. Xiao, Y., Zhan, H., Gu, Y., and Li, Q., “Modeling heat transfer during friction stir welding using a meshless particle method”, International Journal of Heat and Mass Transfer, Vol. 104, (2017), 288–300.
40
41. Dialami, N., Cervera, M., Chiumenti, M., Segatori, A., and Osikowicz, W., “Experimental Validation of an FSW Model with an Enhanced Friction Law: Application to a Threaded Cylindrical Pin Tool”, Metals, Vol. 7, No. 11, (2017), 491–504.
41
42. Avila, J.A., Giorjao, R.A.R., Rodriguez, J., Fonseca, E.B., and Ramirez, A.J., “Modeling of thermal cycles and microstructural analysis of pipeline steels processed by friction stir processing”, The International Journal of Advanced Manufacturing Technology, Vol. 98, No. 9–12, (2018), 2611–2618.
42
43. Unfried-Silgado, J., Torres-Ardila, A., Carrasco-García, J.C., and Rodríguez-Fernández, J., “Effects of shoulder geometry of tool on microstructure and mechanical properties of friction stir welded joints of AA1100 aluminum alloy”, DYNA, Vol. 84, No. 200, (2017), 202–208.
43
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46
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47
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50
51. Das, B., Pal, S., and Bag, S., “Torque based defect detection and weld quality modelling in friction stir welding process”, Journal of Manufacturing Processes, Vol. 27, (2017), 8–17.
51
52. Song, M., and Kovacevic, R., “Numerical and experimental study of the heat transfer process in friction stir welding”, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 217, No. 1, (2003), 73–85.
52
ORIGINAL_ARTICLE
Window Air Conditioner with Orthodox Refrigerants
The system design of window air conditioner does not evolve in one day. Due to the continous efforts are taken by the refrigeration and air conditionging professionals, successful and economic models of window air conditioners are currently used. This paper states about the development of window air conditioner with phase change material and water as refrigerants. Developed air conditioner was tested for its thermal performance achievement. Outcomes specify that thermal comfort acheivement was in satisfactory levels. Predicted mean vote and percentage of people dissatisfied values were calculated and the results were in the range of neutral to a slight cooling, according to Americal Society of Heating and Refrigeration and Air conditioning standard 55.
https://www.ije.ir/article_82489_9611c1525614ec22c27e91a57ec3e15b.pdf
2019-02-01
322
327
Phase change material
Refrigerant
window air conditioner
Thermal Comfort
Chlorofluorocarbons
S. P.
Ebenezer
selvapandiane@gmail.com
1
College of Engineering, National University of Science & Technology, Muscat, Sultanate of Oman
LEAD_AUTHOR
A. K.
Pramanick
2
Department of Mechanical Engineering, National Institute of Technology, Durgapur, West Bengal, India
AUTHOR
K. P.
Ramachandran
3
College of Engineering, National University of Science & Technology, Muscat, Sultanate of Oman
AUTHOR
1. Ravi, P.S., Krishnaiah, A., and Azizuddin, M., “Design and Experimentation of Roll Bond Evaporator for Room Air Conditioner with R-22 as Refrigerant”, International Journal of Engineering - Transactions A: Basics, Vol. 30, No. 4, (2017), 558–566.
1
2. Choudhari, C.S., and Sapali, S.N., “Performance Investigation of Natural Refrigerant R290 as a Substitute to R22 in Refrigeration Systems”, Energy Procedia, Vol. 109, (2017), 346–352.
2
3. Bhatt, M.S., and Kumar, R.S., “Window Air Conditioners: Performance Evaluation and Energy Conservation”, Journal of scientific and industrial research (JSIR), Vol. 60, No. 8, 655–661.
3
4. Devotta, S., Padalkar, A.S., and Sane, N.K., “Purdue e-Pubs Experimental Performance Assessment Of A Retrofitted Window Air Conditioner With R-407C”, In International Refrigeration and Air Conditioning Conference, Paper 533, Purdue University, (2002).
4
5. Llopis, R., Cabello, R., Sánchez, D., Torrella, E., Patiño, J., and Sánchez, J.G., “Experimental evaluation of HCFC-22 replacement by the drop-in fluids HFC-422A and HFC-417B for low temperature refrigeration applications”, Applied Thermal Engineering, Vol. 31, No. 6–7, (2011), 1323–1331.
5
6. Aprea, C., Maiorino, A., and Mastrullo, R., “Exergy analysis of a cooling system: Experimental investigation on the consequences of the retrofit of R22 with R422D”, International Journal of Low-Carbon Technologies, Vol. 9, No. 1, (2014), 71–79.
6
7. Quraishi, M., and Wankhede, U., “Use of Hydrocarbons and Other Blends as Refrigerant”, International Journal of Modern Engineering Research (IJMER), Vol. 3, No. 1, (2013), 250–252.
7
8. Choudhari, C.S., and Sapali, S.N., “Testing of Environment Friendly Refrigerant R290 for Water Cooler Application”, International Journal of Engineering, Transactions A: Basics, Vol. 31, No. 1, (2018), 157–163.
8
9. Tyagi, V.V., and Buddhi, D., “PCM thermal storage in buildings: A state of art”, Renewable and Sustainable Energy Reviews, Vol. 11, No. 6, (2007), 1146–1166.
9
10. Momeni, D., Banakar, A., Ghobadian, B., and Minaei, S., “Applications of PCMs and Solar Energy for Greenhouse Heating”, Journal of Energy Research and Environmental Technology (JERET), Vol. 2, No. 1, (2015), 1–3.
10
11. Riffat, S.B., Omer, S.A., and Ma, X., “A novel thermoelectric refrigeration system employing heat pipes and a phase change material: an experimental investigation”, Renewable Energy, Vol. 23, No. 2, (2001), 313–323.
11
12. Chen, S., and Chiu, M., “Toward Smart Envelopes: An Agent Approach for Environmental Awareness in Houses”, In The 2005 World Sustainable Building Conference, Tokyo, (2005), 2379-2386.
12
13. Djongyang, N., Tchinda, R., and Njomo, D., “Thermal comfort: A review paper”, Renewable and Sustainable Energy Reviews, Vol. 14, No. 9, (2010), 2626-2640.
13
14. Djamila, H., Chu, C.M., and Kumaresan, S., “Effect of Humidity on Thermal Comfort in the Humid Tropics”, Journal of Building Construction and Planning Research, Vol. 2, No. 2, (2014), 109–117.
14
15. Beizaee, A., Firth, S.K., Vadodaria, K., and Loveday, D.L., “Assessing the ability of PMV model in predicting thermal sensation in naturally ventilated buildings in UK”, In Proceedings of the 7th Windsor Conference: The changing context of comfort in an unpredictable world, London, Vol. 17, (2012), 1-17.
15
16. Charles, K.E., “Fanger’s Thermal Comfort and Draught Models”, IRC Research Report RR-162, National Research Council of Canada, Canada, (2003).
16
17. Soleimani Alamdari, G., “Simple Equations for Predicting Entropy of Ammonia-Water Mixture”, International Journal of Engineering - Transactions B: Applications, Vol. 20, No. 1, (2007), 97–106.
17
18. Ahmadzadehtalatapeh, M., and Yau, Y.H., “Fully Fresh Air Air-conditioning System Equipped with Double Heat Pipe Based Heat Recovery Technology”, International Journal of Engineering - Transactions A: Basics, Vol. 26, No. 1, (2012), 51–58.
18
ORIGINAL_ARTICLE
Analysis of Aeolian Vibrations of Transmission Line Conductors and Extraction of Damper Optimal Placement with a Comprehensive Methodology
Energy balance method is an effective and simple method which is used in the amplitude calculation of Aeolian vibration in transmission lines with Stockbridge damper. However, the accuracy of the results obtained by this method, heavily depends on the assumed mode shapes of the conductor vibration. In this study, by considering an appropriate model for the conductor vibration, a comprehensive methodology is presented to calculate the steady-state vibration amplitude of a conductor with arbitrary number of dampers. In this proposed method, the effects of traveling waves, variations of amplitude and phase, boundary conditions (finite length of the conductor), as well as the effect of number, location and impedance of the dampers are taken into account. Natural frequencies, damping rates and complex mode shapes are also obtained from forming and solving the nonlinear eigenvalue problem. Using this method, the effects of the damper placement on the vibration amplitude and bending strain are examined to achieve an optimum damper location. The comparison of the obtained values shows that considering the above parameters has a significant effect on the accuracy of the results.
https://www.ije.ir/article_83401_1cef6166a9c8895d79edeb8e1b2c622a.pdf
2019-02-01
328
337
Aeolian Vibration
Transmission Line
Energy Balance Method
Stock-bridge Damper
Optimum Location
A.
Rezaei
a.rezaei@tabrizu.ac.ir
1
Department of Mechanical Engineering, University of Tabriz, Tabriz, Iran
LEAD_AUTHOR
M. H.
Sadeghi
sadeghim@modares.ac.ir
2
Department of Mechanical Engineering, University of Tabriz, Tabriz, Iran
AUTHOR
1. Kiessling, F., Nefzger, P., Nolasco, J., and Kaintzyk, U., Overhead power lines: planning, design, construction, Springer Science & Business Media, (2014).
1
2. Chan, J., Havard, D., Rawlins, C., Diana, G., and Cloutier, L., EPRI Transmission Line Reference Book: wind-induced Conductor Motion, Electric Power Research Institute (EPRI), (2009).
2
3. Bayliss, C., Bayliss, C., and Hardy, B., Transmission and distribution electrical engineering, Elsevier, (2012).
3
4. Hartmann, G.K.D., and Kern, G.G., Wind Induced Vibrations on High Voltage Overhead Lines, Mosdorfer, Austria, (1994).
4
5. Emamgholizadeh, M.J., Gharabaghi, A.M., Abedi, K., and Sedaaghi, M., “Experimental investigation of the effect of splitter plate angle on the under-scouring of submarine pipeline due to steady current and clear water condition”, International Journal of Engineering-Transactions C: Aspects, Vol. 28, No. 3, (2014), 368–377.
5
6. Dulhunty, P., “Vibration dampers on AAC and AAAC conductors”, In 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), Institution of Engineering and Technology, Stockholm, (2013), 1–4.
6
7. Liu, S., Sun, N., Yin, Q., Qi, Y., Cao, D., and Zhang, L., “Study of New Vibration Suppression Devices for Application to EHV Transmission Line Groundwires”, Energy Procedia, Vol. 12, (2011), 313–319.
7
8. Krispin, H.J., Fuchs, S., and Hagedorn, P., “Optimization of the Efficiency of Aeolian Vibration Dampers”, In IEEE Power Engineering Society Conference and Exposition in Africa - PowerAfrica, IEEE, (2007), 1–3.
8
9. Varney, T., “Notes on the vibration of transmission-line conductors”, Journal of the American Institute of Electrical Engineers (AIEE), Vol. 45, No. 10, (1926), 953–957.
9
10. Claren, R., and Diana, G., “Mathematical Analysis of Transmission Line Vibration”, IEEE Transactions on Power Apparatus and Systems, Vol. PAS-88, No. 12, (1969), 1741–1771.
10
11. Dhotarad, M.S., Ganesan, N., and Rao, B.V.A., “Transmission line vibrations”, Journal of Sound and Vibration, Vol. 60, No. 2, (1978), 217–237.
11
12. Li L., De-yi K., Xiao-hong L., and Zheng-ping L., “Analysis of Aeolian Transmission Conductor with Dampers by the Finite Element Method”, High Voltage Engineering, Vol. 34, No. 2, (2008), 324–328.
12
13. Li, L., De-Yi, K., Xiao-Hong, L., and Zheng-ping, L., “Numerical simulation of aeolian vibrations transmission lines by CFD”, Engineering Mechanics, Vol. 26, No. S2, (2009), 235–240.
13
14. Vecchiarelli, J., “Aeolian vibration of a conductor with a Stockbridge-type damper”, Doctoral dissertation, University of Toronto, (1998).
14
15. Vecchiarelli, J., Currie, I.G., and Havard, D.G., “Computational analysis of aeolian conductor vibration with a stockbridge-type damper”, Journal of Fluids and Structures, Vol. 14, No. 4, (2000), 489–509.
15
16. Langlois, S., and Legeron, F., “Prediction of Aeolian Vibration on Transmission-Line Conductors Using a Nonlinear Time History Model—Part I: Damper Model”, IEEE Transactions on Power Delivery, Vol. 29, No. 3, (2014), 1168–1175.
16
17. Guerard, S., Godard, B., and Lilien, J.L., “Aeolian Vibrations on Power-Line Conductors, Evaluation of Actual Self Damping”, IEEE Transactions on Power Delivery, Vol. 26, No. 4, (2011), 2118–2122.
17
18. Godard, B., Guerard, S., and Lilien, J.L., “Original Real-Time Observations of Aeolian Vibrations on Power-Line Conductors”, IEEE Transactions on Power Delivery, Vol. 26, No. 4, (2011), 2111–2117.
18
19. Hagedorn, P., “Ein einfaches Rechenmodell zur Berechnung winderregter Schwingungen an Hochspannungsleitungen mit Dampfern”, Ingenieur-Archiv, Vol. 49, No. 3–4, (1980), 161–177.
19
20. Hagedorn, P., “On the computation of damped wind-excited vibrations of overhead transmission lines”, Journal of Sound and Vibration, Vol. 83, No. 2, (1982), 253–271.
20
21. Wolf, H., Adum, B., Semenski, D., and Pustaić, D., “Using the Energy Balance Method in the Estimation of Overhead Transmission Line Aeolian Vibrations”, Strojarstvo, Vol. 50, No. 5, (2008), 269–276.
21
22. Kasap, H., “Investigation of Stockbridge dampers for vibration control of overhead transmission lines”, Doctoral dissertation, Middle East Technical University, (2012).
22
23. Sadeghi, S.M., and Rezaei, A., “Extending of ‘Energy Balance Method’ for Calculating of Cable Vibration with Arbitrary Number of Dampers and their Optimal Placement”, Modares Mechanical Engineering, Vol. 15, No. 8, (2015), 438–448.
23
24. Rezaei, A., and Sadeghi, M.H., “Aeolian Vibrations of Transmission Line Conductors with More than One Damper”, International Journal of Engineering-Transactions A: Basics, Vol. 28, No. 10, (2015), 1515–1524.
24
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25
26. Levesque, F., Goudreau, S., Langlois, S., and Legeron, F., “Experimental Study of Dynamic Bending Stiffness of ACSR Overhead Conductors”, IEEE Transactions on Power Delivery, Vol. 30, No. 5, (2015), 2252–2259.
26
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32. Guérard, S., “Power line conductors, a contribution to the analysis of their dynamic behaviour”, Doctoral dissertation, Université de Liège, Belgique, (2011).
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34
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35
ORIGINAL_ARTICLE
Mechanical Strength Improvement of Mud Motor’s Elastomer by Nano Clay and Prediction the Working Life via Strain Energy
In directional drilling, the most important thing that leads to pulling out the drill string is end of mud motor working life. Considering the working conditions of down hole mud motors; increasing the mechanical properties of their stator’s elastomer is crucial. Some attempts were done to increase the motor performance through geometrical changes but lack of material improvement is significant in previous studies. In this study, NBR/nanoclay composite samples were prepared through melt intercalation in an internal mixer and tested with regard to the temperature and drilling mud of down hole. Hardness, tear, fatigue and tensile test results of neat NBR elastomer and nanocomposite of NBR and different loading of nanoclay showed that the mechanical strength of new composites are considerably increased. With the help of strain energy method it was revealed that the life of NBR/nanoclay composite compared to neat NBR was enhanced. Therefore, increasing the working life and performance of the motor is achievable by using this nanocomposite. In the drilling industry, there is a direct relation between time and cost; therefore, increasing the working life of the motor leads to a considerable cost reduction in this expensive industry.
https://www.ije.ir/article_83402_6776ce0945f12cd199dd16c75936eba6.pdf
2019-02-01
338
345
Down Hole Mud Motors
Nitrile Rubber
Nanoclay
Fracture toughness
Strain Energy
M.
Izadi
1
Technology Development Institute, Academic Center for Education, Culture and Research (ACECR), Tehran, Iran
AUTHOR
M.
Tabatabaee Ghomi
mohamadtabatabaeeghomi@gmail.com
2
Technology Development Institute, Academic Center for Education, Culture and Research (ACECR), Tehran, Iran
LEAD_AUTHOR
G.
Pircheraghi
3
Materials science and Engineering, Sharif University of Technology, Tehran, Iran
AUTHOR
1. Syzrantseva, K., Syzrantsev, V., and Dvoynikov, M., “Designing a High Resistant, High-torque Downhole Drilling Motor (Research Note)”, International Journal of Engineering, Transaction A: Basics, Vol. 30, No. 10, (2017), 1615–1621.
1
2. Royal, A.C.D., and Riggall, T.J., “Analysis of steering in horizontal directional drilling installations using down-hole motors”, Tunnelling and Underground Space Technology, Vol. 25, No. 6, (2010), 754–765.
2
3. Nguyen, T., Al-Safran, E., Saasen, A., and Nes, O.M., “Modeling the design and performance of progressing cavity pump using 3-D vector approach”, Journal of Petroleum Science and Engineering, Vol. 122, (2014), 180–186.
3
4. Zhang, J., Liang, Z., and Han, C., “Failure analysis and finite element simulation of key components of PDM”, Engineering Failure Analysis, Vol. 45, (2014), 15–25.
4
5. Zhang, Z., Yu, X., Zhao, W., Zhang, L., and Zhang, R., “Exploring wear detection method for special drilling parts in liquid media”, International Journal of Refractory Metals and Hard Materials, Vol. 61, (2016), 249–258.
5
6. Huang, M., Wang, Y., Liu, B., Gao, M., and Wang, L., “Development of downhole motor drilling test platform”, Procedia Engineering, Vol. 73, No. May, (2014), 71–77.
6
7. Zhang, J., Han, C., and Liang, Z., “Physics of failure analysis of power section assembly for positive displacement motor”, Journal of Loss Prevention in the Process Industries, Vol. 44, (2016), 414–423.
7
8. Ranjbar, K., and Sababi, M., “Failure assessment of the hard chrome coated rotors in the downhole drilling motors”, Engineering Failure Analysis, Vol. 20, (2012), 147–155.
8
9. Lukawski, M.Z., Anderson, B.J., Augustine, C., Capuano Jr, L.E., Beckers, K.F., Livesay, B., and Tester, J.W., “Cost analysis of oil, gas, and geothermal well drilling”, Journal of Petroleum Science and Engineering, Vol. 118, (2014), 1–14.
9
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16. Azizov, A., Davila, W., Nnanna, O., and Rizen, A., “Positive displacement motor innovation drives increased performance with PDC in unconventional plays”, In SPE/IADC Middle East Drilling Technology Conference and Exhibition. Society of Petroleum Engineers, Society of Petroleum Engineers, (2011), 1–15.
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ORIGINAL_ARTICLE
A New Cost Model for Estimation of Open Pit Copper Mine Capital Expenditure
One of the most important issues in all stages of mining study is capital cost estimation. Determination of capital expenditure is a challenging issue for mine designers. In recent decade, quite a few number of studies have focused on proposing estimation models to predict mining capital cost. However, these efforts have not achieved to a predictor model with reliable range of error. Both of overestimation and underestimation of capital expenditure are causing huge problems. The former leads to estimating the value of projects less than the real value, and the latter causes to fail or postpone the project. In this paper, in order to achieve a reliable cost model, the technical and economic data of 15 open pit porphyry copper mines have been collected. The proposed cost model is developed based on stepwise multi variate regression . The R square of the presented model was 97.53% and indicated a proper fit on the data set. In addition, the mean absolute error with respect to the average capital cost of data set used in the modelling procedure was obtained ±8%. The results showed that this model is capable of estimating open pit porphyry copper mine capital expenditure in an acceptable range of error. One of the most important issues in all stages of mining study is capital cost estimation. Determination of capital expenditure is a challenging issue for mine designers. In recent decade, quite a few number of studies have focused on proposing estimation models to predict mining capital cost. However, these efforts have not achieved to a predictor model with reliable range of error. Both of overestimation and underestimation of capital expenditure are causing huge problems. The former leads to estimating the value of projects less than the real value, and the latter causes to fail or postpone the project. In this paper, in order to achieve a reliable cost model, the technical and economic data of 15 open pit porphyry copper mines have been collected. The proposed cost model is developed based on stepwise multi variate regression . The R square of the presented model was 97.53% and indicated a proper fit on the data set. In addition, the mean absolute error with respect to the average capital cost of data set used in the modelling procedure was obtained ±8%. The results showed that this model is capable of estimating open pit porphyry copper mine capital expenditure in an acceptable range of error.
https://www.ije.ir/article_83403_11dbbf99ee46edc78cdef71866b904eb.pdf
2019-02-01
346
353
Capital Expenditure
Capital Cost Estimation
Mine Investment
Stepwise Multi Varaite Regression
H.
Nourali
1
Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran
AUTHOR
M.
Osanloo
morteza.osanloo@gmail.com
2
Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran
LEAD_AUTHOR
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