Torque optimization of submersible motors using evolutionary algorithms

dc.contributor.authorÇunkaş, Mehmet
dc.contributor.authorAkkaya, Ramazan
dc.contributor.authorBilgin, Osman
dc.date.accessioned2020-03-26T18:22:24Z
dc.date.available2020-03-26T18:22:24Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.descriptionTUBITAK;IEEEen_US
dc.description2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011 -- 15 June 2011 through 18 June 2011 -- Istanbul-Kadikoy -- 85879en_US
dc.description.abstractThis paper presents the design optimization method to maximize the torque of submersible motors. In optimization, genetic algorithms have been used because of its superior features over some other evolutionary algorithms. The magnetic analysis of motor has been implemented with two-dimensional finite elements method. The optimization results obtained from genetic algorithms have been verified by finite elements method. It is seen that the results are in compliance with Finite Element results. Besides, Genetic algorithms have been tested by using different number of populations; crossover and mutation rates. The results have shown that submersible induction motors' torques and efficiencies are improved and material savings are obtained. © 2011 IEEE.en_US
dc.identifier.doi10.1109/INISTA.2011.5946093en_US
dc.identifier.endpage369en_US
dc.identifier.isbn9.78161E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage365en_US
dc.identifier.urihttps://dx.doi.org/10.1109/INISTA.2011.5946093
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27314
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofINISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectevolutionary algorithmen_US
dc.subjectfinite element methoden_US
dc.subjectsubmersible motoren_US
dc.subjecttorque optimizationen_US
dc.titleTorque optimization of submersible motors using evolutionary algorithmsen_US
dc.typeConference Objecten_US

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