Kangkang Song
Chongqing University, Zhengzhou University of Light Industry
Papers
4
Total Citations
159
H-Index
4
About
Dr. Kangkang Song is a leading researcher in intelligent robotic manufacturing, with a primary focus on precision abrasive belt grinding for complex aerospace components. His work centers on developing advanced force control and trajectory planning methods to achieve high surface integrity on blisks (integrally bladed rotors) and difficult-to-machine alloys like Inconel 718. Dr. Song’s major contributions include a novel variable inclination angle force control strategy for robotic belt grinding (51 citations), a new force-depth model that accurately predicts material removal (46 citations), and a reverse compensation trajectory planning method that corrects profile errors during blisk grinding (37 citations). These innovations directly address the critical challenges of automation and quality in aero-engine manufacturing. His research has garnered over 150 citations, reflecting its significant impact on both academic theory and industrial practice. Earlier work on parameter optimization for four-legged robots (25 citations) further demonstrates his versatility in robotics. Dr. Song’s achievements are pivotal for advancing intelligent, high-precision manufacturing in the aerospace sector.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4