Lufeng Li

About

Lufeng Li is a leading researcher in robotic belt grinding, with a focus on intelligent manufacturing and precision material processing. His work centers on developing physics-based models and automation strategies for grinding superalloys and complex freeform surfaces. Li’s major contributions include a novel material removal rate model grounded in single-grain force analysis (71 citations), which provides a mechanistic understanding of the grinding process. He has also pioneered point cloud-based 3D surface reconstruction and weld seam feature extraction (56 citations), enabling automated path planning for robotic grinding. His feature-guided trajectory generation method (41 citations) further advances the automation of freeform weld finishing. Additionally, Li has investigated dynamic energy partition in belt grinding (34 citations), linking thermal effects to material removal behavior. His comprehensive review of recent advances in robotic belt grinding of superalloys (29 citations) synthesizes the field’s progress and challenges. With over 230 total citations, Li’s work is instrumental in bridging theoretical process models with practical robotic automation, significantly improving efficiency and quality in high-value manufacturing applications.

Research Focus

Key Achievements

Top Papers

1. 1
   A novel material removal rate model based on single grain force for robotic belt grinding

   71 citations · 2021
2. 2
   Point cloud 3D parent surface reconstruction and weld seam feature extraction for robotic grinding path planning

   56 citations · 2020
3. 3
   A novel feature-guided trajectory generation method based on point cloud for robotic grinding of freeform welds

   41 citations · 2021
4. 4
   A study of dynamic energy partition in belt grinding based on grinding effects and temperature dependent mechanical properties

   34 citations · 2021
5. 5
   A review of recent advances in robotic belt grinding of superalloys

   29 citations · 2023

Key Collaborators

Contact & Links