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 13 → 2016 11 16 |
Other
| Other | 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 |
|---|---|
| 国 | United States |
| 市 | Miami |
| 期間 | 16/11/13 → 16/11/16 |
ASJC Scopus subject areas
- Computational Mathematics
- Instrumentation
- Electrical and Electronic Engineering
フィンガープリント Level-set-function-based topology optimization supported by the method of moving asymptotes in a magnetic field problem' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。
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