Multimaterial Topology Optimization of Electric Machines Based on Normalized Gaussian Network

TLDR

The paper discusses the characteristics of the proposed method in detail. The study presents a topology optimization method for multimaterial models using a normalized Gaussian network. The method determines optimal machine shapes composed of multiple materials and is applied to optimize average torque in interior permanent magnet motors by distributing magnetic core, flux barriers, and magnets. Optimization results demonstrate that average torque can be improved while using the smallest possible amount of magnet.

Abstract

This paper presents a topology optimization method for multimaterial models based on the normalized Gaussian network. In this method, one can determine optimal shapes of machines that are composed of various materials, such as iron, magnetic, and non-magnetic material. The present method is applied to the optimization of the average torque for interior permanent magnet motor to determine the distributions of magnetic core and flux barrier as well as magnets. The optimization results show that average torque can be improved using as small amount of magnet as possible. In addition, the characteristic of the present method is discussed in detail.