Caiwang Tan
Papers
2
Total Citations
6
H-Index
1
About
Dr. Caiwang Tan is a leading researcher in advanced manufacturing, specializing in laser-arc hybrid welding and additive manufacturing processes. His work focuses on real-time monitoring and control of weld quality, particularly under challenging conditions. Dr. Tan's major contributions include the development of innovative deep learning approaches, such as the local-add U-net architecture, which enables robust tracking of weld seams even under strong interference in laser-arc hybrid welding. This breakthrough has significant implications for improving automation and reliability in industrial welding applications. Additionally, his research on melt pool height monitoring using dynamic laser spots in oscillating laser arc hybrid additive manufacturing provides critical insights for process optimization. With his most-cited paper already garnering 5 citations shortly after publication, Dr. Tan's work is rapidly gaining recognition for its practical impact on manufacturing precision. His achievements demonstrate a commitment to bridging the gap between theoretical modeling and real-world industrial challenges, making him a notable figure in the field of intelligent manufacturing and process monitoring.
Research Focus
Key Achievements
Top Papers
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- 2