Jiuxin Yuan
Papers
1
Total Citations
84
H-Index
1
About
Jiuxin Yuan is a leading researcher in advanced manufacturing, specializing in robotic gas metal arc welding (GMAW)-based additive manufacturing and the computational modeling of deposition processes. His most-cited work, the 2019 paper "Multi-bead overlapping model with varying cross-section profile for robotic GMAW-based additive manufacturing" (84 citations), addresses a critical challenge in wire-arc additive manufacturing: achieving precise bead geometry and surface quality. Yuan developed a novel overlapping model that accounts for varying cross-section profiles, enabling more accurate prediction and control of multi-bead layers—a fundamental step toward fabricating complex, near-net-shape metal components. This contribution has significantly advanced the field by providing a robust framework for optimizing process parameters, reducing trial-and-error experimentation, and improving part integrity. His research bridges computational modeling and practical robotic welding, directly impacting industries such as aerospace, automotive, and tooling. With a growing citation record, Yuan’s work is widely recognized for its practical utility and theoretical depth, making him a key figure in the evolution of additive manufacturing from prototyping to production.
Research Focus
Key Achievements
Top Papers
- 1