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About

Dr. Qinglin Han is a leading researcher in advanced manufacturing, specializing in wire and arc additive manufacturing (WAAM) and robotic automation. His work focuses on overcoming critical challenges in large-scale metal additive manufacturing, particularly in achieving geometric precision and structural homogeneity. Dr. Han’s major contributions include developing a layers-overlapping strategy to ensure uniform multi-layer multi-bead components, a foundational approach cited 79 times. He also pioneered an interlayer closed-loop control system using fuzzy-logic inference to dynamically correct forming geometries in real time, a breakthrough with 71 citations that significantly enhances process reliability. His research extends to practical applications, such as the robotic repair of large-size sprockets using GMAW additive manufacturing, demonstrating industrial viability. Additionally, Dr. Han has advanced visual sensor-guided robotic assembly for aerospace components, including aluminum alloy tubes. With over 200 total citations, his work bridges theoretical control and practical automation, earning recognition for improving WAAM’s scalability and accuracy. Dr. Han’s innovations are essential reading for researchers and engineers seeking to advance robotic additive manufacturing and closed-loop process control.