Kehong Wang
Papers
3
Total Citations
35
H-Index
2
About
Kehong Wang is a leading researcher in advanced manufacturing, specializing in robotic welding and additive manufacturing processes for high-performance metallic structures. His work focuses on developing intelligent, automated solutions for joining and fabricating complex components, particularly in aerospace and defense applications. Wang’s major contributions include pioneering the robotic double-sided coaxial gas tungsten arc welding (GTAW) process for thick aluminum alloy plates, as demonstrated in his 2016 study on 7A52 alloy, which achieved 28 citations for its detailed analysis of microstructure and mechanical properties. He has also advanced real-time process monitoring, introducing multimodal fusion perception to detect robot trajectory deviations during wire arc additive manufacturing (WAAM), a 2023 paper with 5 citations that enhances quality control. Most recently, in 2025, Wang proposed an innovative topology matrix-based interlocking path planning method for robotic additive manufacturing of thin-walled multi-rib structures, earning 2 citations for its potential to optimize complex geometries. His work bridges materials science, robotics, and process engineering, offering practical solutions for industrial automation. Wang’s research is widely recognized for its impact on improving weld integrity, reducing defects, and enabling the production of lightweight, high-strength components, making him a key figure in the evolution of smart manufacturing technologies.
Research Focus
Key Achievements
Top Papers
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