Wencheng Pan

Dr. Wencheng Pan is a Research Fellow in the Department of Engineering at the School of Computing and Engineering, University of Huddersfield, and a member of the Centre for Precision Technologies (CPT) and the Engineering Control and Machine Performance Group (ECMPG). He joined the university in June 2015 and is actively involved in research related to machining optimization, system stability, and intelligent manufacturing. He is currently accepting PhD students and contributes to cutting-edge research in advanced manufacturing.

• BEng in Vehicle Application Engineering (Transportation), awarded July 2007
• PhD in Advanced Manufacturing Technology, Royal Melbourne Institute of Technology (RMIT) University, awarded December 2014

Dr. Pan's research focuses on machining titanium alloys, system stability analysis, identification, and online surface monitoring. His expertise spans machining optimization, PCD tool applications, CNC system dynamics, and sustainable machining strategies such as cryogenic minimum quantity lubrication (CMQL). His work contributes to the UN Sustainable Development Goals through eco-friendly manufacturing innovations.

His recent publications (2022–2025) emphasize machine learning applications in cutting force prediction, signal complexity analysis in milling, and sustainable lubrication techniques for Ti-6Al-4V. These works reflect a strong trend toward intelligent, data-driven, and environmentally responsible manufacturing. His research integrates artificial intelligence, real-time monitoring, and precision engineering to enhance productivity and surface quality.

Scientific Awards and Recognition:

• h-index: 10 (based on 575 citations from Google Scholar)
• High research impact in machining, titanium alloys, and eco-friendly manufacturing

Dr. Pan has supervised postgraduate research and contributed to externally funded projects, including AI-based knowledge capture for precision manufacturing. His collaborations span multiple institutions and involve interdisciplinary work in AI, materials science, and sustainable engineering. He has presented at academic events, sharing insights on machined surface texture and CFRP drilling.

He is affiliated with the Centre for Precision Technologies, a leading research center in ultra-precision engineering, where he contributes to projects advancing manufacturing intelligence and sustainability. His work bridges theoretical modeling and industrial application, particularly in aerospace and high-value manufacturing sectors.