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

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	https://doi.org/10.1109/CEFC.2016.7816207
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 13 → 2016 11 16

Other

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

ASJC Scopus subject areas

計算数学
器械工学
電子工学および電気工学

文献へのアクセス

10.1109/CEFC.2016.7816207

他のファイルとリンク

引用スタイル

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

@inproceedings{1f329b7a119740e392db260f79fa6825,

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

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.",

keywords = "Level set function, Magnetic field problem, Method of moving asymptotes, Topology optimization",

author = "Yoshifumi Okamoto and Shinji Wakao",

year = "2017",

month = jan,

day = "12",

doi = "10.1109/CEFC.2016.7816207",

language = "English",

booktitle = "IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 ; Conference date: 13-11-2016 Through 16-11-2016",

}

TY - GEN

T1 - Level-set-function-based topology optimization supported by the method of moving asymptotes in a magnetic field problem

AU - Okamoto, Yoshifumi

AU - Wakao, Shinji

PY - 2017/1/12

Y1 - 2017/1/12

N2 - 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.

AB - 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.

KW - Level set function

KW - Magnetic field problem

KW - Method of moving asymptotes

KW - Topology optimization

UR - http://www.scopus.com/inward/record.url?scp=85012013352&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85012013352&partnerID=8YFLogxK

U2 - 10.1109/CEFC.2016.7816207

DO - 10.1109/CEFC.2016.7816207

M3 - Conference contribution

AN - SCOPUS:85012013352

BT - IEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016

Y2 - 13 November 2016 through 16 November 2016

ER -

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

抄録

Other

ASJC Scopus subject areas

文献へのアクセス

他のファイルとリンク

フィンガープリント

引用スタイル