Prediction of Motor Characteristic Using Deep Learning and Acceleration of Topology Optimization

Abstract

　This paper describes a motor characteristic prediction method using deep learning and accelerating topology optimization. Convolutional neural networks, one of the deep learning methods, have been shown to be able to accurately predict motor characteristics for shapes that are handled by topology optimization. In addition, the applicability of explainable deep learning to the design of motors is discussed.