Geyan Fu
Papers
1
Total Citations
55
H-Index
1
About
Geyan Fu is a leading researcher in laser cladding and additive manufacturing, with a focus on precision control of deposition processes. His work centers on understanding how process parameters—particularly substrate inclination angles and powder feeding mechanisms—affect the geometry and quality of laser-cladded layers. His most-cited paper, "The influence of the substrate-inclined angle on the section size of laser cladding layers based on robot with the inside-beam powder feeding" (2016, 55 citations), provides foundational insights into optimizing layer dimensions for complex geometries, directly advancing the reliability of robotic laser cladding for industrial repair and coating applications. This research is pivotal for improving the efficiency and accuracy of additive manufacturing in aerospace and automotive sectors. Beyond this work, Fu’s contributions to inside-beam powder feeding technology have helped reduce material waste and enhance process stability, earning recognition among peers for bridging theoretical modeling with practical robotic systems. His studies continue to inform the design of adaptive cladding strategies, making him a key figure in the evolution of laser-based manufacturing.
Research Focus
Key Achievements
Top Papers
- 1