Papers
2
Total Citations
15
H-Index
2
About
Zewei Fang is a researcher specializing in advanced welding technologies and subsea pipeline maintenance, with a focus on integrating virtual reality (VR) and automation to solve complex industrial challenges. His most-cited work, "Research on the virtual reality technology of a pipeline welding robot" (2020, 12 citations), introduces a VR system built with Unity3D and UG software to simulate riser automatic welding equipment. This system enhances scene realism and operator training by modeling a welding car, guide rail, and virtual camera, marking a significant step toward safer, more efficient remote welding operations. Fang’s subsequent paper, "Remote deepwater subsea pipeline maintenance system" (2021, 3 citations), tackles the critical issue of preventing oil and gas leaks through diverless weld bead maintenance welding. By analyzing fillet weld cross-sections, he proposes a method for remote subsea repair, reducing human risk in deepwater environments. Though his citation counts are modest, Fang’s contributions are notable for their practical impact on underwater robotics and VR-assisted manufacturing, offering innovative solutions for pipeline integrity and automated welding in hazardous settings. His work bridges simulation and real-world application, making him a key figure in advancing industrial automation for energy infrastructure.
Research Focus
Key Achievements
Top Papers
- 1Research on the virtual reality technology of a pipeline welding robot12 citations · 2020
- 2Remote deepwater subsea pipeline maintenance system3 citations · 2021