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.

Instructor Bios:

Sainan Xue received her M.S. degree from University of Wisconsin-Madison in 2007. From 2008 to 2018, she worked as a motor design engineer and motor calibration engineer at General Motors. She is a senior motor design and support engineer at Powersys Solutions since 2018. Her research interests include the design, analysis and testing of electrical machines.
 

Vedanadam M. Acharya received his Master’s degrees in Electrical Engineering from University of North Carolina at Charlotte in 2013. He is currently working at Powersys Solutions as a Technical Operations Manager for JMAG.