Papers
1
Total Citations
10
H-Index
1
About
Yafei Xue is a researcher whose work lies at the intersection of laser materials processing and intelligent automation. Their primary focus is on developing data-driven methods to optimize industrial laser cleaning, a critical process for surface preparation and restoration. Xue’s most notable contribution is a novel two-stage algorithm that leverages image analysis to automatically tune laser process parameters and estimate surface roughness in real time. This work, published in 2020 and cited 10 times, addresses a key challenge in manufacturing: the need for precise, repeatable cleaning without damaging the substrate. By integrating a Cartesian coordinate robot for automated image collection and cleaning execution, Xue’s approach bridges the gap between computer vision and laser engineering. This innovation not only reduces reliance on manual trial-and-error but also enhances quality control in applications ranging from heritage conservation to aerospace maintenance. Xue’s research exemplifies how smart sensing and control can transform traditional manufacturing processes into more efficient, reliable systems—a valuable contribution for students and engineers seeking to advance industrial automation.
Research Focus
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Top Papers
- 1