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

Yoshifumi Okamoto, Shinji Wakao

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publicationIEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781509010325
    DOIs
    Publication statusPublished - 2017 Jan 12
    Event17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 - Miami, United States
    Duration: 2016 Nov 132016 Nov 16

    Other

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

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    Keywords

    • Level set function
    • Magnetic field problem
    • Method of moving asymptotes
    • Topology optimization

    ASJC Scopus subject areas

    • Computational Mathematics
    • Instrumentation
    • Electrical and Electronic Engineering

    Cite this

    Okamoto, Y., & Wakao, S. (2017). Level-set-function-based topology optimization supported by the method of moving asymptotes in a magnetic field problem. In 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