Papers
3
Total Citations
37
H-Index
2
About
Guangsheng Chang is a leading researcher in intelligent robotic polishing and precision manufacturing, with a focus on enhancing surface quality for complex curved molds. His work centers on process optimization and adaptive control strategies to overcome the uneven polishing caused by curvature variations in industrial robotics. Chang’s most-cited study, “Process Optimization of Robotic Polishing for Mold Steel Based on Response Surface Method” (2022, 20 citations), systematically optimizes key parameters—polishing pressure, feed speed, and tool rotation—to minimize surface roughness (Ra) on mold steel, establishing optimal parameter ranges for superior finish. He further advances the field with “Research on constant force polishing method of curved mold based on position adaptive impedance control” (2022, 15 citations), introducing a novel adaptive impedance control that maintains consistent contact force during polishing, significantly improving uniformity on curved surfaces. His earlier work, “Robot Flexible Polishing Methods for Curved Mold and Adaptive Impedance Control” (2021), analyzes constant displacement versus constant downforce methods using elliptical Hertzian contact theory, laying the groundwork for flexible robotic polishing. With cumulative citations reflecting growing impact, Chang’s contributions are pivotal for automating high-precision finishing in mold manufacturing, offering practical solutions for industries demanding flawless surface quality.
Research Focus
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