Title:

Application of Topology Optimization Techniques in Innovative Motor Design

Instructors:

Sainan Xue and Vedanadam Acharya

Abstract:

The tutorial reviews the technical challenges in machine design where the high torque density and efficiency are required across the entire drive range, introduces two major topology optimization techniques – genetic algorithm with on/off method and the normalized Gaussian Network (NGnet) as well as density method for local optimization, then elaborates on how machine design can utilize these topology optimization techniques in narrowing down the best innovative topologies under the predefined operating conditions. The effectiveness, calculation complexity, and hardware requirements for each optimization technique are presented with case studies. Finally, we propose future application scenarios where topology optimization made possible.