Author
Zhendan Xue
Manager, Application Engineering, ESTECO North America (Novi, MI office). Zhendan has been with ESTECO for over 16 years, supporting ESTECO customers in their engineering optimization activities. He graduated in 2009 with a PhD in Mechanical Engineering from the State University of New York at Buffalo, where his research focused on computer simulation of emergency evacuation using a modified particle swarm optimization algorithm. Technical interests: numerical optimization, design for six sigma, machine learning, data analytics and agentic AI.

How machine learning and design optimization reduce frictional power losses in spur gear transmissions
Written by Naser Sanoussi, Tarek Belgasam, Zhendan Xue
15 October 2026
Discover how machine learning and modeFRONTIER MDO workflows optimize spur gear design, lower frictional power loss, and outperform empirical models.