{"title":"永磁横向磁通机的设计与优化","authors":"C. Pompermaier, Lars Sjoberg, G. Nord","doi":"10.1109/ICELMACH.2012.6349932","DOIUrl":null,"url":null,"abstract":"This paper presents the design and optimization of a Permanent Magnet Transverse Flux Machine. The design procedure takes into account a script-based, 3D Finite Elements simulation and some additional analytical equations to obtain the full performance of the machine. A Genetic Algorithm optimization method is used in order to achieve the best possible relationship among mechanical power, efficiency and volume. The results will be compared to the actual machine.","PeriodicalId":6309,"journal":{"name":"2012 XXth International Conference on Electrical Machines","volume":"238 1","pages":"606-611"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Design and optimization of a Permanent Magnet Transverse Flux Machine\",\"authors\":\"C. Pompermaier, Lars Sjoberg, G. Nord\",\"doi\":\"10.1109/ICELMACH.2012.6349932\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the design and optimization of a Permanent Magnet Transverse Flux Machine. The design procedure takes into account a script-based, 3D Finite Elements simulation and some additional analytical equations to obtain the full performance of the machine. A Genetic Algorithm optimization method is used in order to achieve the best possible relationship among mechanical power, efficiency and volume. The results will be compared to the actual machine.\",\"PeriodicalId\":6309,\"journal\":{\"name\":\"2012 XXth International Conference on Electrical Machines\",\"volume\":\"238 1\",\"pages\":\"606-611\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 XXth International Conference on Electrical Machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICELMACH.2012.6349932\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 XXth International Conference on Electrical Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICELMACH.2012.6349932","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and optimization of a Permanent Magnet Transverse Flux Machine
This paper presents the design and optimization of a Permanent Magnet Transverse Flux Machine. The design procedure takes into account a script-based, 3D Finite Elements simulation and some additional analytical equations to obtain the full performance of the machine. A Genetic Algorithm optimization method is used in order to achieve the best possible relationship among mechanical power, efficiency and volume. The results will be compared to the actual machine.
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