Deyong Sun

Papers

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About

Dr. Deyong Sun is a leading researcher in advanced manufacturing and intelligent inspection, with a primary focus on automated fiber placement (AFP) for large-scale carbon fiber reinforced plastics (CFRP) composites. His most notable contribution lies in integrating structural light scanning with deep learning to detect lay-up defects in real time during AFP processes—a critical advancement for ensuring the quality and reliability of high-performance composite parts used in aerospace and automotive industries. His pioneering 2025 paper on this topic has already garnered 10 citations, reflecting its immediate impact on the field. Dr. Sun’s work addresses a key bottleneck in automated composite manufacturing: the need for rapid, accurate, and non-destructive defect detection as robotic arms lay unidirectional prepreg tapes under heat and pressure. By combining 3D optical sensing with intelligent algorithms, he has enabled more robust quality control, reducing waste and improving production efficiency. His research bridges the gap between manufacturing engineering and artificial intelligence, offering practical solutions for next-generation composite fabrication. Dr. Sun’s contributions are shaping the future of smart manufacturing, making him a vital figure for students and researchers interested in automation, materials science, and machine learning applications.