About

Shaowu Liu is a researcher at the forefront of advanced manufacturing, specializing in cold spray-based additive manufacturing and intelligent repair systems. His work centers on developing automated, knowledge-driven frameworks that enhance the precision and efficiency of spray deposition processes. Liu’s major contributions include pioneering a novel process implementation for cold spray additive manufacturing (2021, 24 citations) and establishing a knowledge-based cold spray repairing system (2021, 23 citations), which together provide a foundation for autonomous defect remediation. He further advanced the field by creating a generic path design scheme for spray deposition (2023, 11 citations), enabling more consistent material deposition and characterization. Most recently, Liu introduced a hybrid additive-subtractive manufacturing approach with adaptive path planning (2025, 7 citations), specifically targeting the autonomous repair of complex geometrical defects—a breakthrough for industrial maintenance and restoration. His cumulative work, recognized through steady citation growth, demonstrates significant impact on both the theory and practice of cold spray technology, positioning him as a key innovator in sustainable, automated manufacturing solutions.

Research Focus

Key Achievements

4
H-Index
4
Papers
65
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
New Process Implementation to Enhance Cold Spray-Based Additive Manufacturing
24 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Université de technologie de belfort-montbéliard, Centre National de la Recherche Scientifique, Zhejiang University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago