Chongrui Tang
Papers
2
Total Citations
15
H-Index
2
About
Chongrui Tang is a rising researcher in advanced manufacturing and nondestructive evaluation, with a focus on automated fiber placement (AFP) and carbon fiber reinforced plastics (CFRP) composites. Their work bridges structural light scanning, deep learning, and image processing to detect and visualize critical defects in high-performance composite parts. Tang’s most cited paper, “Lay‐up defects inspection for automated fiber placement with structural light scanning and deep learning” (2025, 10 citations), introduces a novel method combining 3D scanning with AI to identify lay-up defects during AFP—a key challenge in aerospace and automotive manufacturing. Earlier work, “Detect and visualize non-uniform yarn orientations on preformed CFRP parts using automatic scanning and image processing” (2023, 5 citations), developed automated techniques to map fiber orientation irregularities, enabling real-time quality control. These contributions are vital for improving the reliability and efficiency of composite production, reducing waste, and ensuring structural integrity. Tang’s research is gaining traction among engineers and materials scientists, positioning them as a promising innovator in smart manufacturing and defect detection.
Research Focus
Key Achievements
Top Papers
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