Papers
8
Total Citations
99
H-Index
5
About
Ping Yao is a researcher specializing in robotic welding processes, arc additive manufacturing, and structural optimization, with a body of work that bridges advanced manufacturing techniques and intelligent automation. His most cited contribution, a 2019 study on light-weight topological optimization for industrial welding robot arms (39 citations), demonstrated how finite element analysis and structural optimization can significantly reduce robot weight while maintaining performance — a meaningful advance for industrial robotics. Yao has made substantial contributions to gas metal arc welding (GMAW), particularly the double-pulsed GMAW process, investigating weld bead ripple characteristics and the effects of operational parameters such as torch inclination and duty ratio to improve joint quality and process control. His research extends into wire and arc additive manufacturing (WAAM), exploring how current modes and welding parameters influence the microstructure and mechanical properties of stainless steel components. More recently, Yao has pushed into functionally graded materials and numerical modeling of weld bead formation, reflecting a trajectory toward increasingly sophisticated manufacturing solutions. With nearly 100 cumulative citations, his work offers practical guidance for engineers seeking to optimize robotic welding systems across diverse industrial applications.
Research Focus
Key Achievements
Top Papers
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- 2Process and Parameter Optimization of the Double-Pulsed GMAW Process20 citations · 2019
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