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About

Weizhao Zhang is a leading researcher at the intersection of advanced manufacturing, materials science, and artificial intelligence, with a primary focus on automated fiber placement (AFP) and carbon fiber reinforced polymer (CFRP) composites. His major contributions lie in developing intelligent, non-destructive inspection systems that combine structural light scanning with deep learning to detect lay-up defects in real time—a critical advancement for producing large-scale aerospace-grade composite parts. Zhang’s work on highly stretchable and conductive 3D graphene skeleton/polyacrylamide/LiCl nanocomposite hydrogels has opened new pathways for high-performance electromagnetic interference shielding, demonstrating his versatility across functional materials. His 2025 paper on AFP defect inspection has already garnered 10 citations, while his 2023 study on visualizing non-uniform yarn orientations in preformed CFRP parts using automatic scanning and image processing has earned 5 citations, reflecting growing impact in the field. Zhang’s research uniquely bridges the gap between manufacturing process monitoring and material innovation, offering practical solutions for quality assurance in composite fabrication. His work is essential reading for engineers and scientists seeking to integrate AI-driven inspection into next-generation composite manufacturing workflows.