Papers
6
Total Citations
95
H-Index
4
About
Mingsheng Jin is a leading researcher in intelligent manufacturing and robotic polishing, with a focus on precision surface finishing for complex geometries. His work bridges computer-aided instruction and advanced robotic machining, notably through an intelligent computer-aided instruction (ICAI) modeling method for parallel robot instruction (2012, 41 citations), which optimizes study strategies for these high-precision but difficult-to-teach systems. Jin’s core contributions lie in robotic gasbag polishing, where he established a material removal model based on the Preston equation and contact stress distributions (2008, 10 citations), and developed innovative spinning-inflated-gasbag polishing tools (2006, 4 citations) with improved track planning and pressure control (2007, 4 citations). He also advanced pneumatic wheel machining using softness consolidation abrasives (2014, 30 citations) and pioneered partition segment grinding path methods for aero-engine blades using robot groups (2019, 6 citations). His work has significantly enhanced polishing efficiency and surface quality for free-form molds and aerospace components, demonstrating substantial impact in automated precision manufacturing.
Research Focus
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