Papers
1
Total Citations
9
H-Index
1
About
Zhao Pan is a leading researcher in advanced manufacturing and precision surface engineering, with a primary focus on robotic belt polishing for high-value aerospace components. His work addresses the critical challenge of optimizing material removal processes to simultaneously minimize surface roughness and enhance geometric accuracy in aeroengine blades. Pan’s most cited paper, “Optimal Parameter Selection in Robotic Belt Polishing for Aeroengine Blade Based on GRA-RSM Method” (2019), introduces a novel hybrid approach combining Grey Relational Analysis with Response Surface Methodology to identify ideal polishing parameters. This contribution has been foundational for researchers and engineers seeking to automate and refine finishing operations in the aerospace industry, earning 9 citations to date. Beyond this key work, Pan’s research portfolio spans the broader domain of robotic machining and process optimization, where he continues to develop data-driven strategies for improving surface integrity and process efficiency. His achievements are particularly notable for bridging theoretical optimization with practical industrial application, making him a valuable resource for students and professionals interested in the intersection of robotics, materials science, and manufacturing quality control.
Research Focus
Key Achievements
Top Papers
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