Title :
Multimaterial Topology Optimization of Electric Machines Based on Normalized Gaussian Network
Author :
Sato, Takahiro ; Watanabe, Kota ; Igarashi, Hajime
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
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.
Keywords :
Gaussian processes; machine theory; magnetic cores; magnetic flux; optimisation; permanent magnet motors; electric machine; interior permanent magnet motor; iron material; magnetic core distributions; magnetic flux barrier; magnetic material; multimaterial topology optimization method; nonmagnetic material; normalized Gaussian network; Magnetic cores; Optimization; Permanent magnet motors; Rotors; Shape; Topology; Torque; Interior permanent magnet (IPM) motor; topology optimization;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2014.2359972