Dongju Chen
Papers
2
Total Citations
46
H-Index
2
About
Dongju Chen is a leading researcher in precision manufacturing and robotic-assisted polishing, with a focus on improving the performance of optical component fabrication. Her work centers on the robot-assisted bonnet polishing system (RABPS), a technology prized for its low cost, high efficiency, and rapid polishing capabilities. Chen’s major contribution lies in addressing the critical challenge of insufficient robot stiffness, which often leads to machining vibrations and compromises surface quality. She developed a novel evaluation model for the working stiffness of RABPS, as detailed in her highly cited 2021 paper (35 citations), and later optimized static performance through stiffness evaluation in her 2022 study (11 citations). These works provide a theoretical foundation for enhancing machining stability and precision, directly impacting the production of high-quality optical components. Chen’s research is pivotal for advancing automated polishing in industries such as aerospace and optics, where surface integrity is paramount. Her achievements underscore a commitment to bridging robotics and manufacturing, offering practical solutions for reducing errors and improving efficiency. With growing recognition, Chen continues to shape the future of intelligent polishing systems.
Research Focus
Key Achievements
Top Papers
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