Shangqin Yuan
Papers
2
Total Citations
161
H-Index
2
About
Dr. Shangqin Yuan is a leading researcher at the intersection of additive manufacturing, composite materials, and artificial intelligence. Their work focuses on advancing the production and quality control of continuous fiber-reinforced polymer composites, a critical area for high-performance aerospace and automotive applications. Dr. Yuan’s most impactful contribution is the development of a deep learning-assisted framework for real-time defect detection and closed-loop adjustment during the 3D printing of these composites, a breakthrough that has garnered 150 citations and promises to revolutionize manufacturing reliability. This work integrates computer vision with adaptive process control, enabling autonomous correction of printing errors. More recently, Dr. Yuan has pioneered in situ repairing techniques for continuous fiber-reinforced thermoplastic composites using multi-axial additive manufacturing, demonstrating a novel approach to extending component lifespan and reducing waste. Their research not only pushes the boundaries of smart manufacturing but also provides practical solutions for sustainable production. Dr. Yuan’s innovative fusion of machine learning and materials science continues to shape the future of intelligent, defect-free composite fabrication.
Research Focus
Key Achievements
Top Papers
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