Improvements in material-density-based topology optimization for 3-d magnetic circuit design by fem and sequential linear programming method

Yoshifumi Okamoto, Yusuke Tominaga, Shinji Wakao, Shuji Sato

研究成果: Article

20 引用 (Scopus)

抜粋

Topology optimization (TO) makes it possible to obtain new structures for electrical machines. The sensitivity-based method, which can cope with some constraint conditions, is suitable for large-scale three-dimensional TO. However, if the material density is defined by unknown variables in TO, elements with intermediate density (grayscale) occasionally appear. The grayscale cannot clearly show the material allocation within its finite element. Thus, we propose a sigmoid-based filtering function to suppress the generation of grayscale. Moreover, because the constraint condition can be simply taken into consideration, sequential linear programming is occasionally utilized as a topology optimizer. However, the convergence characteristics frequently oscillate and are strongly dependent on the move limit that controls the maximum intensity of the correction vector. To overcome this numerical difficulty, we propose an identification technique for the determination of a quasi-optimal move limit (QOML). This paper demonstrates the performance of both the mathematical function filtering grayscale and QOML.

元の言語English
記事番号6749040
ジャーナルIEEE Transactions on Magnetics
50
発行部数2
DOI
出版物ステータスPublished - 2014 2 1

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

フィンガープリント Improvements in material-density-based topology optimization for 3-d magnetic circuit design by fem and sequential linear programming method' 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