Papers
11
Total Citations
436
H-Index
9
About
Xunpeng Qin is a leading researcher in robotic wire and arc additive manufacturing (RWAAM) and advanced welding process control. His work focuses on understanding molten pool behaviors, multi-bead overlapping models, and path planning for complex surface fabrication, enabling high-precision additive manufacturing with industrial robots. Qin’s key contributions include developing a multi-bead overlapping model with varying cross-section profiles (84 citations) and a region-based path planning method for all-horizontal welding positions (55 citations), which significantly improve forming accuracy and efficiency. He has also advanced non-destructive evaluation, using laser ultrasonic inspection to detect defects in WAAM samples with different surface profiles (62 and 46 citations), enhancing quality assurance. His research on welding parameters prediction for arbitrary layer height (30 citations) and bimetallic hierarchical structures (28 citations) demonstrates his impact on material science and process optimization. With over 400 total citations, Qin’s work is foundational for robotic GMAW-based additive manufacturing, particularly for curved overhanging structures and re-manufacturing applications. His achievements include automatic calibration methods for robotic systems, showcasing his commitment to practical, industry-ready solutions.
Research Focus
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