Papers
2
Total Citations
18
H-Index
2
About
Xiuwei Wang is a researcher at the forefront of intelligent manufacturing and robotic welding automation. Their primary research areas include machine learning applications in welding, Gas Metal Arc Welding (GMAW) expert systems, and Wire Arc Additive Manufacturing (WAAM). Wang’s most significant contribution is the development of an intelligent expert system for GMAW that leverages machine learning to simplify robot preparation and enhance welding process automation—a breakthrough that earned 16 citations since 2023. This work streamlines the transition from user input to optimal welding parameters, reducing human intervention and boosting industrial efficiency. Additionally, Wang designed a WAAM system based on industrial robots, demonstrating expertise in additive manufacturing integration. Their research directly addresses critical challenges in manufacturing automation, offering practical solutions for smarter, more adaptive production environments. With a growing citation footprint, Xiuwei Wang is establishing themselves as a key contributor to the evolution of intelligent welding and robotic fabrication technologies.
Research Focus
Key Achievements
Top Papers
- 1GMAW welding procedure expert system based on machine learning16 citations · 2023
- 2Design of WAAM System Based on Industrial Robot2 citations · 2022