About

Xizhang Chen is a prominent researcher whose work spans robotic welding automation, computer vision systems, and additive manufacturing technologies. His contributions have significantly advanced the field of intelligent manufacturing, particularly in enabling robots to autonomously detect, position, and execute precision welding tasks. Chen's early foundational work focused on vision-based systems for welding robots, developing methods for acquiring weld seam positional data and autonomously locating start welding positions — papers that have each accumulated over 70 citations and remain influential references in robotic welding literature. His research on stereo vision techniques further refined how robots compute spatial weld information with greater accuracy. More recently, Chen has made substantial contributions to Wire and Arc Additive Manufacturing (WAAM), exploring Cold Metal Transfer (CMT)-based systems for producing near-net-shape metallic components. His 2018 paper on CMT-based WAAM has garnered 113 citations, reflecting the growing importance of low-cost, high-flexibility metal additive manufacturing. His complementary work on torch angle effects and arc welding-based additive methods underscores his comprehensive approach to process optimization. With research spanning over fifteen years, Chen's interdisciplinary contributions — bridging robotics, computer vision, and advanced manufacturing — have established him as an authoritative voice in intelligent welding systems and metal additive manufacturing innovation.

Research Focus

Key Achievements

10
H-Index
13
Papers
504
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Cold Metal Transfer (CMT) Based Wire and Arc Additive Manufacture (WAAM) System
113 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Wenzhou University, Samara National Research University, Jiangsu University, Shanghai Jiao Tong University, Heilongjiang Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago