Papers
1
Total Citations
6
H-Index
1
About
Dr. Xiaojie Li is a mechanical engineer specializing in industrial robotics and structural optimization, with a focus on the design and analysis of robotic systems for manufacturing applications. Their most cited work, "Optimization design and finite element analysis of welding robot base based on ANSYS Workbench" (2022, 6 citations), demonstrates a core contribution: advancing the reliability and stability of industrial robot bases through computational modeling. By integrating SolidWorks for 3D modeling with ANSYS Workbench for finite element analysis, Dr. Li developed a systematic approach to optimize the structural integrity of welding robot bases, directly addressing safety and performance challenges in automotive manufacturing. This work exemplifies their broader research in mechanical design optimization and simulation-driven engineering. While their citation count is early-stage, the practical relevance of their research to industry—particularly in improving robot base safety and reducing failure risks—highlights their potential for significant applied impact. Dr. Li’s contributions are valuable for students and researchers exploring the intersection of robotics, structural mechanics, and finite element methods in industrial automation.
Research Focus
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Top Papers
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