Papers
2
Total Citations
6
H-Index
2
About
Xuwen Jing is a pioneering researcher in advanced manufacturing and intelligent coating systems, with a primary focus on digital twin technology, robotics, and process optimization for the shipbuilding industry. Their major contributions lie in developing real-time monitoring and control systems for automated spraying processes, particularly addressing the challenges of poor visibility and complex geometries in ship block coating. Jing’s most-cited work, "Agent-based modeling system for real-time characterization of film thickness in digital twin coating" (2024, 4 citations), introduces an innovative agent-based framework that enables real-time film thickness measurement and spraying prediction, overcoming the limitations of traditional video monitoring in dusty, foggy environments. This work represents a significant advancement in digital twin applications for manufacturing. Additionally, their 2025 paper on kinematic analysis and optimization of a nine-axis gantry spraying robot for ship blocks (2 citations) proposes a novel robotic system tailored to the complex coating requirements of large-scale ship components, addressing a critical gap in existing automated equipment. Jing’s research has direct implications for improving efficiency, accuracy, and safety in industrial coating processes, positioning them as an emerging leader in smart manufacturing and robotics.
Research Focus
Key Achievements
Top Papers
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- 2