Topology optimization of induction heating model using sequential linear programming based on move limit with adaptive relaxation

Hiroshi Masuda, Yutaro Kanda, Yoshifumi Okamoto, Kazuki Hirono, Reona Hoshino, Shinji Wakao, Tomonori Tsuburaya

研究成果: Article

5 引用 (Scopus)

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It is very important to design electrical machineries with high efficiency from the point of view of saving energy. Therefore, topology optimization (TO) is occasionally used as a design method for improving the performance of electrical machinery under the reasonable constraints. Because TO can achieve a design with much higher degree of freedom in terms of structure, there is a possibility for deriving the novel structure which would be quite different from the conventional structure. In this paper, topology optimization using sequential linear programming using move limit based on adaptive relaxation is applied to two models. The magnetic shielding, in which there are many local minima, is firstly employed as firstly benchmarking for the performance evaluation among several mathematical programming methods. Secondly, induction heating model is defined in 2-D axisymmetric field. In this model, the magnetic energy stored in the magnetic body is maximized under the constraint on the volume of magnetic body. Furthermore, the influence of the location of the design domain on the solutions is investigated.

元の言語English
ページ(範囲)845-850
ページ数6
ジャーナルOpen Physics
15
発行部数1
DOI
出版物ステータスPublished - 2017 12 29
外部発表Yes

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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