Zhiming Zheng
Papers
1
Total Citations
6
H-Index
1
About
Zhiming Zheng is a leading researcher in advanced manufacturing and machining dynamics, with a primary focus on milling stability prediction and uncertainty quantification. His work addresses critical challenges in high-speed machining, where process instability can lead to tool failure and poor surface quality. Zheng’s major contribution lies in developing surrogate model-based approaches that efficiently predict stability lobe diagrams—key tools for selecting chatter-free cutting parameters—while accounting for real-world uncertainties in machine tools and materials. His 2024 paper, "Uncertainty quantification and dynamic characteristics identification for predicting milling stability lobe based on surrogate model," has already garnered 6 citations, reflecting its timely impact on the field. By integrating probabilistic methods with dynamic system identification, Zheng enables more robust and reliable machining processes, directly benefiting industries such as aerospace and automotive manufacturing. His work bridges theoretical mechanics and practical engineering, offering students and researchers a framework for tackling complex, data-driven problems in process optimization. Zheng’s research continues to shape the future of smart manufacturing and digital twin technologies.
Research Focus
Key Achievements
Top Papers
- 1