Wenxing Guo
Papers
7
Total Citations
123
H-Index
6
About
Wenxing Guo is an emerging researcher at the forefront of advanced manufacturing, specializing in robotic grinding, surface integrity engineering, and intelligent machining of high-performance superalloys. His work focuses particularly on Inconel 718 — a challenging nickel-based alloy widely used in aerospace applications — where he has made significant contributions to understanding the thermal, mechanical, and tribological phenomena governing belt grinding processes. Guo's most influential work integrates computer vision and point cloud technologies with robotic path planning, earning 42 citations for a 2024 study on vision-guided grinding of spatial weld beads. His research systematically investigates how parameters such as belt wear, constant normal forces, and heat partition ratios interact to affect surface quality and subsurface microstructure. Notably, he has pioneered comprehensive frameworks combining robotic belt grinding with burnishing post-processing to simultaneously enhance surface roughness and mechanical properties in both forged and additively manufactured components. Across seven highly cited publications — accumulating over 120 citations within just two years — Guo has established himself as a rigorous and productive contributor bridging intelligent robotics, manufacturing process optimization, and materials science. His vision-based closed-loop machining systems represent particularly promising advances for next-generation aerospace component manufacturing.
Research Focus
Key Achievements
Top Papers
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