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

Yoshifumi Okamoto; Shinji Wakao

doi:10.1109/CEFC.2016.7816207

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 proceeding › Conference 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 language	English
Title of host publication	IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509010325
DOIs	https://doi.org/10.1109/CEFC.2016.7816207
Publication status	Published - 2017 Jan 12
Event	17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 - Miami, United States Duration: 2016 Nov 13 → 2016 Nov 16

Other

Other	17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016
Country/Territory	United States
City	Miami
Period	16/11/13 → 16/11/16

Keywords

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

ASJC Scopus subject areas

Computational Mathematics
Instrumentation
Electrical and Electronic Engineering

Access to Document

10.1109/CEFC.2016.7816207

Cite this

Level-set-function-based topology optimization supported by the method of moving asymptotes in a magnetic field problem. / Okamoto, Yoshifumi; Wakao, Shinji.
IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation. Institute of Electrical and Electronics Engineers Inc., 2017. 7816207.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016, Miami, United States, 16/11/13. https://doi.org/10.1109/CEFC.2016.7816207

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

Abstract

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Keywords

ASJC Scopus subject areas

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