Xian Liu
Papers
2
Total Citations
11
H-Index
2
About
Xian Liu is a rising researcher at the forefront of intelligent manufacturing and advanced structural design. Their work uniquely bridges computational optimization and mechanical engineering, with a primary focus on robotic welding process control and adaptive lattice structures. Liu's most-cited paper, "Modeling and optimization of robot welding process parameters based on improved SVM-PSO" (2024, 7 citations), introduces a hybrid machine learning approach that significantly enhances weld quality prediction and parameter tuning, offering a practical leap for automated production lines. Building on this, their 2025 study on "Tailoring shape-morphing and stiffness of lattice structures via curved-beam programming" (4 citations) pioneers a novel method to programmably control the deformation and rigidity of metamaterials, opening new possibilities for deployable aerospace components and soft robotics. Though early in their career, Liu’s work demonstrates a rare ability to integrate data-driven modeling with physical mechanics, earning recognition for its potential to reduce trial-and-error in manufacturing. Their contributions are already shaping how engineers approach both process optimization and the design of next-generation morphing structures.
Research Focus
Key Achievements
Top Papers
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- 2