Lyuyuan Wang
Papers
1
Total Citations
5
H-Index
1
About
Lyuyuan Wang is a researcher at the forefront of advanced manufacturing, specializing in wire arc additive manufacturing (WAAM) and intelligent process monitoring. His work centers on integrating multimodal sensor fusion—combining visual, acoustic, and thermal data—to enhance the precision and reliability of robotic additive manufacturing systems. Wang’s most-cited paper, "Monitoring of robot trajectory deviation based on multimodal fusion perception in WAAM process" (2023), introduces a novel framework that detects and corrects real-time trajectory errors, a critical challenge in producing complex metal components. This contribution has garnered 5 citations, reflecting its emerging influence in the field. By leveraging deep learning and sensor integration, Wang’s research addresses key bottlenecks in industrial automation, paving the way for defect-free, high-quality 3D-printed parts. His work is particularly notable for its practical applications in aerospace and automotive industries, where geometric accuracy is paramount. As a rising voice in manufacturing innovation, Wang continues to push boundaries in adaptive control and real-time quality assurance, making his research essential reading for engineers and scientists seeking to bridge the gap between digital design and physical production.
Research Focus
Key Achievements
Top Papers
- 1