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

    抜粋

    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.

    元の言語English
    ホスト出版物のタイトルIEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation
    出版者Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子版)9781509010325
    DOI
    出版物ステータス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
    United States
    Miami
    期間16/11/1316/11/16

    ASJC Scopus subject areas

    • Computational Mathematics
    • Instrumentation
    • Electrical and Electronic Engineering

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  • これを引用

    Okamoto, Y., & Wakao, S. (2017). Level-set-function-based topology optimization supported by the method of moving asymptotes in a magnetic field problem. : IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation [7816207] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEFC.2016.7816207