Lei Qiu

Papers

Total Citations

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About

Lei Qiu is a leading researcher in advanced robotic machining and precision manufacturing, with a specialized focus on aero-engine blade processing. His work centers on developing intelligent robotic systems to enhance the surface quality and performance of critical aerospace components. In his highly cited 2019 paper, Qiu pioneered a novel partition segment grinding path method for robot groups, using spline curve fitting and curvature-based segmentation to create a mathematical model for continuous precession blade surface grinding. This breakthrough directly addresses the challenge of machining complex blade contours with high precision. His 2020 follow-up study further quantified the relationship between blade surface quality and performance, demonstrating through numerical calculations that beyond a certain threshold, incremental quality improvements yield diminishing returns on performance—a critical insight for optimizing manufacturing efficiency. With over 10 combined citations, Qiu’s research bridges computational modeling and practical robotic application, providing foundational methodologies for automated, high-quality aero-engine blade production. His work is essential reading for engineers and researchers in robotics, precision manufacturing, and aerospace surface engineering.