Papers
11
Total Citations
101
H-Index
6
About
Hongjian Wu is an emerging researcher specializing in cold spray additive manufacturing, robotic automation, and intelligent repair systems for metallic components. His work sits at the intersection of advanced manufacturing processes and computational engineering, with a particular focus on making cold spray technology more precise, autonomous, and industrially viable. Wu's most significant contributions center on developing sophisticated trajectory and toolpath planning frameworks for robot-guided cold spray systems. His highly cited papers — including "New Process Implementation to Enhance Cold Spray-Based Additive Manufacturing" (24 citations) and "A Framework for a Knowledge Based Cold Spray Repairing System" (23 citations) — demonstrate his drive to systematize and automate what has traditionally been a manually intensive process. His 2023 work on spray trajectory planning for complex structural components further advances robotic flexibility in material deposition, garnering 14 citations. More recently, Wu has pushed toward hybrid additive-subtractive manufacturing with adaptive path planning, enabling autonomous repair of geometrically intricate defects. His broader vision, reflected in work connecting Industry 4.0 technologies to thermal spray processes, positions cold spray within the future of smart manufacturing. Collectively accumulating nearly 100 citations, Wu's research is shaping the intelligent automation of next-generation repair and manufacturing workflows.
Research Focus
Key Achievements
Top Papers
- 1
- 2A framework for a knowledge based cold spray repairing system23 citations · 2021
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- 73D volume construction methodology for cold spray additive manufacturing6 citations · 2024
- 8Toolpath Planning for Cold Spray Additive Manufacturing3 citations · 2021
- 9
- 10Automation of a Repair Process by Robot-Guided Cold Spray2 citations · 2025