Dandan Fang

Papers

Total Citations

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About

Dandan Fang is a leading researcher in robotic thermal spraying, a field critical to advanced manufacturing and surface engineering. Her work focuses on automating the deposition of protective coatings onto complex, free-form surfaces—a challenge central to industries like automotive and aerospace. Fang’s major contributions include pioneering robot offline programming for thermal spray processes, which enables precise, simulation-based path planning without interrupting production. Her most cited paper, "Application of robot offline programming in thermal spraying" (2012, 64 citations), established foundational methods for this approach. She further advanced the field by developing automatic robot trajectory generation for complex surfaces (2018, 15 citations), addressing the difficulty of achieving uniform coating on irregular geometries. Fang also explored the integration of external axes in robotic systems (2012, 11 citations), expanding the flexibility and reach of automated spraying. Her work has significantly improved efficiency, consistency, and quality in thermal spray coating, reducing manual intervention and enabling high-performance surface treatments. Fang’s research is essential reading for engineers and students interested in robotics, automation, and surface engineering, offering practical solutions to real-world manufacturing challenges.