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

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)845-850
Number of pages6
JournalOpen Physics
Volume15
Issue number1
DOIs
Publication statusPublished - 2017 Dec 29
Externally publishedYes

Keywords

  • Heaviside function
  • Ih equipment
  • Method of moving asymptotes
  • Sequential linear programming
  • Topology optimization

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Fingerprint Dive into the research topics of 'Topology optimization of induction heating model using sequential linear programming based on move limit with adaptive relaxation'. Together they form a unique fingerprint.

Cite this