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Multimaterial Topology Optimization of Electric Machines Based on Normalized Gaussian Network
Title: | Multimaterial Topology Optimization of Electric Machines Based on Normalized Gaussian Network |
Authors: | Sato, Takahiro Browse this author | Watanabe, Kota Browse this author →KAKEN DB | Igarashi, Hajime Browse this author →KAKEN DB |
Keywords: | Interior permanent magnet (IPM) motor | topology optimization |
Issue Date: | Mar-2015 |
Publisher: | IEEE |
Journal Title: | IEEE transactions on magnetics |
Volume: | 51 |
Issue: | 3 |
Start Page: | 7202604 |
Publisher DOI: | 10.1109/TMAG.2014.2359972 |
Abstract: | This paper presents a topology optimization method for multimaterial models based on the normalized Gaussian network. In this method, one can determine optimal shapes of machines that are composed of various materials, such as iron, magnetic, and nonmagnetic material. The present method is applied to the optimization of the average torque for interior permanent magnet motor to determine the distributions of magnetic core and flux barrier as well as magnets. The optimization results show that average torque can be improved using as small amount of magnet as possible. In addition, the characteristic of the present method is discussed in detail. |
Rights: | © 2015 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/2115/59622 |
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)
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Submitter: 五十嵐 一
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