Shulin Chen

Chongqing University

Papers

2

Total Citations

83

H-Index

2

About

Dr. Shulin Chen is a leading researcher in intelligent robotic machining, with a primary focus on abrasive belt grinding of difficult-to-machine materials. His work addresses critical challenges in precision manufacturing, particularly for aerospace components. Dr. Chen’s major contributions include the development of a novel force-depth model for robotic abrasive belt grinding, validated on Inconel 718 alloy—a superalloy notoriously difficult to process. This model, detailed in his 2022 paper (46 citations), provides a foundational framework for predicting and controlling grinding forces, directly improving surface integrity and tool life. He further advanced the field with a trajectory planning method based on reverse compensation of profile error for robotic belt grinding of blisks (37 citations), a technique that significantly enhances the geometric accuracy of complex, integral turbine components. These works have established him as a key figure in bridging theoretical modeling with practical robotic automation. With a growing citation record and a focus on high-value aerospace applications, Dr. Chen’s research is shaping the next generation of adaptive, high-precision robotic manufacturing systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
83
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
A new force-depth model for robotic abrasive belt grinding and confirmation by grinding of the Inconel 718 alloy
46 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Chongqing University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago