Huijuan Lian
Papers
2
Total Citations
14
H-Index
2
About
Huijuan Lian is a researcher focused on advancing robotic trajectory planning for thermal spray processes, particularly cold spray technology. Her work addresses the critical challenge of optimizing robot movements to improve coating productivity and quality on complex surfaces. Lian’s most-cited paper, "A Global Approach to the Optimal Trajectory Based on an Improved Ant Colony Algorithm for Cold Spray" (2016, 11 citations), introduces a novel optimization method that enhances the efficiency and precision of spray torch paths. Her earlier study, "A Robot Trajectory Sample Algorithm for Optimizing Thermal Spraying Torch Velocity on the Complex Surface" (2015, 3 citations), tackles the practical issue of controlling torch velocity to ensure uniform coatings on intricate geometries. By integrating bio-inspired algorithms like ant colony optimization into robotics, Lian contributes to the automation of manufacturing processes, reducing waste and improving performance. Her work is particularly valuable for industries requiring high-quality coatings, such as aerospace and automotive. Though her citation counts are modest, Lian’s targeted innovations in trajectory optimization represent meaningful steps toward smarter, more adaptive robotic systems in thermal spraying.
Research Focus
Key Achievements
Top Papers
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- 2