Yan‐Bing He
Papers
3
Total Citations
119
H-Index
3
About
Yan‐Bing He is a leading researcher in intelligent manufacturing and robotic precision machining, with a primary focus on robotic belt grinding and surface engineering. His work addresses critical challenges in automated material removal, particularly for difficult-to-machine superalloys like Inconel 718. He developed a pioneering method for dynamic heat input monitoring during robotic belt grinding, enabling real‐time control of thermal effects that degrade workpiece quality. His research on dynamic energy partition, grounded in grinding effects and temperature‐dependent mechanical properties, has provided a fundamental understanding of how energy is distributed between the tool and workpiece. Notably, he introduced a novel approach for 3D point cloud surface reconstruction and weld seam feature extraction, directly enabling intelligent path planning for robotic grinding. With his most cited paper accumulating 56 citations, He’s work has been instrumental in bridging the gap between sensor‐based process monitoring and adaptive robotic control. His contributions are essential for advancing autonomous, high‐precision manufacturing in aerospace and other high‐value industries.
Research Focus
Key Achievements
Top Papers
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