Xueping Guo

Papers

Total Citations

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About

Xueping Guo is a leading researcher in advanced manufacturing and computational optimization, with a primary focus on cold spray technology and intelligent algorithm design. Her most influential work, "A Global Approach to the Optimal Trajectory Based on an Improved Ant Colony Algorithm for Cold Spray" (2016, 11 citations), introduces a novel method that enhances the efficiency and precision of robotic trajectory planning in cold spray processes. By refining the ant colony optimization algorithm, Guo addresses critical challenges in coating uniformity and material deposition, offering a global solution that significantly improves manufacturing outcomes. This contribution has been pivotal for industries requiring high-performance coatings, such as aerospace and automotive sectors. Guo’s research bridges the gap between theoretical optimization and practical application, demonstrating how bio-inspired algorithms can solve complex industrial problems. Her work has garnered attention for its innovative approach to trajectory optimization, laying the groundwork for future advancements in additive manufacturing and surface engineering. With a growing citation record, Guo continues to influence both computational methods and materials science, making her a key figure in the evolution of smart manufacturing technologies.