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Robust Optimization Considering Probabilistic Magnetic Degradation

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/59619

Title: Robust Optimization Considering Probabilistic Magnetic Degradation
Authors: Hidaka, Yuki Browse this author
Furui, Shintaro Browse this author
Igarashi, Hajime Browse this author →KAKEN DB
Keywords: Finite element method (FEM)
magnetic degradation
robust optimization
topology optimization
Issue Date: Mar-2015
Publisher: IEEE
Journal Title: IEEE transactions on magnetics
Volume: 51
Issue: 3
Start Page: 7401204
Publisher DOI: 10.1109/TMAG.2014.2353653
Abstract: This paper presents robust topology optimization of electromagnetic machines by considering the magnetic degradation caused by mechanical and thermal stresses in punching, shrinking fitting, and other manufacturing processes. The topology optimization is performed using two methods: one is the robust genetic algorithm in which random noises are added to the magnetic characteristic parameters and the other takes the deviations in the objective and constraint functions due to the degradation into account. These methods are applied to optimization of the flux barrier shapes in an interior permanent magnetic motor to find that one can successfully realize robust design.
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/2115/59619
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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