J. García-Amorós, R. Bargalló-Perpiñá, P. Andrada, B. Blanqué
{"title":"Thermal performance analysis of the double-sided linear switched reluctance motor","authors":"J. García-Amorós, R. Bargalló-Perpiñá, P. Andrada, B. Blanqué","doi":"10.1109/ICELMACH.2014.6960372","DOIUrl":null,"url":null,"abstract":"This paper presents a study about the thermal performance of the double-sided flat Linear Switched Reluctance Motor (LSRM) according to the number of phases (m) and the pole stroke (PS). The analysis is performed by means of the Finite Element Method (FEM) for electromagnetic computations and a lumped parameter for thermal model (LPT) both linked to an optimization algorithm based on the Response Surface Methodology (RSM) in order to reduce the computing time. The results show the LSRM behavior for achieving an optimal design from the point of view of the thermo-mechanical performance for a given insulation class and a duty cycle operating conditions.","PeriodicalId":288960,"journal":{"name":"2014 International Conference on Electrical Machines (ICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Electrical Machines (ICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICELMACH.2014.6960372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a study about the thermal performance of the double-sided flat Linear Switched Reluctance Motor (LSRM) according to the number of phases (m) and the pole stroke (PS). The analysis is performed by means of the Finite Element Method (FEM) for electromagnetic computations and a lumped parameter for thermal model (LPT) both linked to an optimization algorithm based on the Response Surface Methodology (RSM) in order to reduce the computing time. The results show the LSRM behavior for achieving an optimal design from the point of view of the thermo-mechanical performance for a given insulation class and a duty cycle operating conditions.