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

*この研究の対応する著者

研究成果: Article査読

12 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号6749040
ページ(範囲)689-692
ページ数4
ジャーナルIEEE Transactions on Magnetics
50
2
DOI
出版ステータスPublished - 2014 2

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 電子工学および電気工学

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