Xinliang Xie
Papers
1
Total Citations
23
H-Index
1
About
Xinliang Xie is a researcher at the forefront of advanced manufacturing and surface engineering, with a particular focus on cold spray technology and intelligent repair systems. His work bridges computational modeling and practical application, most notably through his development of a knowledge-based framework for cold spray repairing systems. This seminal 2021 paper, which has garnered 23 citations, introduces a systematic approach to automating repair processes for high-value components, integrating material science with artificial intelligence to optimize deposition parameters and predict coating performance. Xie’s contributions are pivotal in extending the lifespan of aerospace, automotive, and industrial parts, reducing waste and maintenance costs. By combining domain expertise with data-driven methodologies, he is shaping the next generation of sustainable manufacturing solutions. His research not only advances the theoretical understanding of cold spray dynamics but also provides actionable tools for engineers, making him a key figure in the transition toward smarter, more efficient repair technologies.
Research Focus
Key Achievements
Top Papers
- 1A framework for a knowledge based cold spray repairing system23 citations · 2021