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Topology Optimization Method Based on On-Off Method and Level Set Approach

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Title: Topology Optimization Method Based on On-Off Method and Level Set Approach
Authors: Hidaka, Yuki Browse this author
Sato, Takahiro Browse this author
Igarashi, Hajime Browse this author →KAKEN DB
Keywords: Genetic algorithms
level set
permanent magnetic motors
shape optimization
Issue Date: Feb-2014
Publisher: IEEE
Journal Title: IEEE Transactions on Magnetics
Volume: 50
Issue: 2
Start Page: 7015204
Publisher DOI: 10.1109/TMAG.2013.2285379
Abstract: This 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.
Rights: © 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.
Type: article (author version)
URI: http://hdl.handle.net/2115/56539
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 五十嵐 一

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