Level-set-function-based topology optimization supported by the method of moving asymptotes in a magnetic field problem

Yoshifumi Okamoto, Shinji Wakao

    研究成果: Conference contribution

    抄録

    Topology optimization (TO) is an attractive design tools for electrical machinery. In particular, the level-set-based TO has been investigated enthusiastically. In this paper, a level-set-based topology optimization method supported by the method of moving asymptotes is proposed to realize fast convergence. The performance of the proposed method is verified in comparison with the conventional level-set-based method, which is composed of both gradient-based-correction and regularization.

    本文言語English
    ホスト出版物のタイトルIEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation
    出版社Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子版)9781509010325
    DOI
    出版ステータスPublished - 2017 1 12
    イベント17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 - Miami, United States
    継続期間: 2016 11 132016 11 16

    Other

    Other17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016
    国/地域United States
    CityMiami
    Period16/11/1316/11/16

    ASJC Scopus subject areas

    • 計算数学
    • 器械工学
    • 電子工学および電気工学

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