Material-Density-Based Topology Optimization With Magnetic Nonlinearity by Means of Stabilized Sequential Linear Programming: SLPSTAB

Author

Okamoto, Yoshifumi ; Matsubayashi, Yu ; Wakao, Shinji ; Sato, Shuji

Author_Institution

Dept. of Electr. & Electron. Syst. Eng., Utsunomiya Univ., Tochigi, Japan

Volume

51

Issue

3

fYear

2015

fDate

Mar-15

Firstpage

1

Lastpage

4

Abstract

The nonlinear magnetic properties of an iron core should be considered when topology optimization (TO) is applied to a realistic problem. However, a scheme for introduction of the magnetic nonlinearity to material-density-based TO has not been rigorously established. In this paper, TO by using material density with magnetic nonlinearity is proposed. The numerical instability of the sequential linear programming method is a well-known topic. The stabilized sequential linear programming method, which realizes the stabilized convergence characteristics of an objective function, is proposed and investigated in the 3-D design problem of a magnetic circuit.

Keywords

linear programming; magnetic circuits; numerical stability; topology; 3D design problem; SLPSTAB; magnetic circuit; magnetic nonlinearity; material-density-based topology optimization; numerical instability; sequential linear programming method; stabilized sequential linear programming; Finite element analysis; Linear programming; Magnetic domains; Magnetic noise; Magnetic shielding; Optimization; Topology; Magnetic nonlinearity; material-density-based topology optimization (TO); stabilized sequential linear programming (SLPSTAB) method;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2014.2361360

Filename

7093522