Changrong Chen
Papers
6
Total Citations
72
H-Index
4
About
Changrong Chen is a specialist in robotic welding and additive manufacturing, with a particular focus on wire and arc additive manufacturing (WAAM) and gas metal arc welding (GMAW) processes. His research centers on the geometric modeling, prediction, and optimization of weld bead profiles—challenges that are fundamental to achieving dimensional accuracy and structural integrity in additively manufactured components. Chen's most significant contributions lie in developing advanced multi-bead overlapping models for WAAM. His 2022 profile transformation-based recursive model, now cited 39 times, addressed longstanding limitations in describing the flattened valley regions between adjacent beads—a persistent gap in the field. A 2023 follow-up using axisymmetric drop shape analysis further refined multi-bead prediction accuracy, accumulating 14 citations. Beyond geometry modeling, Chen has applied grey relational analysis and Taguchi methods to optimize welding parameters for challenging configurations, including overhang structures and positional robotic welding. His work also extends to practical industrial applications, such as multi-pass welding at complex T/K/Y jacket joints and error rectification strategies for intersecting groove welds. Collectively, his research bridges theoretical modeling and real-world robotic manufacturing, making him a valuable contributor to the ongoing advancement of automated welding and metal additive manufacturing technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6