Xiangxiang Zhu
Papers
1
Total Citations
11
H-Index
1
About
Xiangxiang Zhu is a researcher focused on precision manufacturing and robotic polishing systems, with particular expertise in optimizing the static and dynamic performance of robot-assisted bonnet polishing for optical components. Their major contribution lies in addressing a critical challenge in this field: the insufficient stiffness of industrial robots, which leads to vibration during machining and degrades surface quality. Zhu’s work, notably the highly cited 2022 paper “Optimization of static performance for robot polishing system based on work stiffness evaluation,” introduces a systematic method to evaluate and enhance work stiffness, directly improving polishing accuracy and efficiency. This research has garnered 11 citations, reflecting its relevance to both academia and industry. By tackling the stiffness-vibration trade-off, Zhu has advanced the practical application of cost-effective robotic polishing for high-precision optics, a key area in modern manufacturing. Their work is essential reading for engineers and researchers seeking to bridge the gap between robotic flexibility and the stringent demands of optical component fabrication.
Research Focus
Key Achievements
Top Papers
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