Zhengyi Xu

Papers

Total Citations

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About

Zhengyi Xu is a researcher whose work bridges advanced manufacturing and robotic engineering. His primary research areas include laser welding process optimization and the design of magnetic adhesion systems for industrial climbing robots. Xu’s most impactful contribution is his 2014 study on applying statistical models to optimize multi-pass narrow-gap laser welding with filler wire, which has garnered 38 citations and provides a data-driven framework for improving weld quality in thick-section materials. In the robotics domain, he led the design and optimization of a magnetic wheel for a grit-blasting robot intended for ship hull surface preparation, achieving 30 citations. This work addressed the challenge of adapting to hull curvatures up to 0.833 m⁻¹, enabling automated surface operations in dry docks. Xu further refined magnetic wheel designs for wall-climbing robots, earning 10 additional citations. His contributions are notable for integrating statistical process control with practical robotic systems, offering solutions that enhance both manufacturing precision and industrial automation. Through these efforts, Xu has demonstrated a clear ability to apply theoretical optimization to real-world engineering challenges, making his work valuable for researchers in welding technology and mobile robotics.