Papers

9

Total Citations

229

H-Index

8

About

Ze Chai is a leading researcher in advanced manufacturing, specializing in robotic belt grinding, surface integrity engineering, and intelligent process monitoring for difficult-to-machine superalloys. His work addresses critical challenges in precision material removal, particularly for Inconel 718 components used in aerospace and energy applications. Chai’s major contributions include developing a novel feature-guided trajectory generation method for freeform weld grinding (41 citations) and pioneering in-process material removal rate monitoring using CatBoost algorithms on belt-image data (34 citations). He has also advanced the understanding of dynamic energy partitioning in belt grinding and created methods for real-time heat input monitoring, significantly improving process control and surface quality. His recent work on surface integrity improvement through robotic rotational burnishing and isotropic etching polishing demonstrates his commitment to post-processing innovation. With over 200 cumulative citations across his most influential papers, Chai’s research has been widely recognized for bridging fundamental thermal-mechanical analysis with practical robotic automation. His comprehensive review of robotic belt grinding of superalloys (2023) serves as a key reference for the field, cementing his role as a thought leader in intelligent, high-precision manufacturing.

Research Focus

Key Achievements

8
H-Index
9
Papers
229
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
A novel feature-guided trajectory generation method based on point cloud for robotic grinding of freeform welds
41 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Shanghai Jiao Tong University, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago