2024-03-29T06:04:30Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/565392022-11-17T02:08:08Zhdl_2115_20053hdl_2115_145Topology Optimization Method Based on On-Off Method and Level Set ApproachHidaka, YukiSato, TakahiroIgarashi, HajimeGenetic algorithmslevel setpermanent magnetic motorsshape optimization548This paper proposes a two-step method for topology optimization, in which after global search is performed by the on-off method, and then local search is carried out by the level set approach. The genetic and gradient-based algorithms are employed for the former and latter optimizations, respectively. This present method is applied to two numerical examples; topology optimizations of a magnetic shield system and interior permanent magnetic motor. It is shown that this present method can find solutions with better performances in comparison with the conventional on-off method.IEEEJournal Articleapplication/pdfhttp://hdl.handle.net/2115/56539https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/56539/1/compumag_hidaka.pdf0018-9464IEEE Transactions on Magnetics50270152042014-02enginfo:doi/10.1109/TMAG.2013.2285379© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.author