Cost optimization of submersible motors using a genetic algorithm and a finite element method

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dc.contributor.authorCunkas, Mehmet
dc.contributor.authorAkkaya, Ramazan
dc.contributor.authorBilgin, Osman
dc.date.accessioned2020-03-26T17:17:10Z
dc.date.available2020-03-26T17:17:10Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis paper presents an optimal design method to optimize cost of three-phase submersible motors. The optimally designed motor is compared with an industrial motor having the same ratings. The motor design procedure consists of a system of non-linear equations, which imposes induction motor characteristics, motor performance, magnetic stresses, and thermal limits. The genetic algorithm (GA) is used for cost optimization, and a software algorithm has been developed. As a result of the realized optimization, besides the improvements on the motor cost, motor torque improvements have also been acquired. The 2-D finite element method (FEM) is then used to confirm the validity of the optimal design. Computer simulation results are given to show the effectiveness of the proposed design process that can achieve a good prediction of the motor performance. Through the studies accomplished, it has been observed that submersible induction motors' torques and efficiencies improve, their length reduces, and hence some materialen_US
dc.identifier.doi10.1007/s00170-006-0458-xen_US
dc.identifier.endpage232en_US
dc.identifier.issn0268-3768en_US
dc.identifier.issue03.04.2020en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage223en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s00170-006-0458-x
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21291
dc.identifier.volume33en_US
dc.identifier.wosWOS:000247530700002en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGER LONDON LTDen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectcost optimizationen_US
dc.subjectfinite element methoden_US
dc.subjectgenetic algorithmen_US
dc.subjectsubmersible motoren_US
dc.titleCost optimization of submersible motors using a genetic algorithm and a finite element methoden_US
dc.typeArticleen_US

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