Papers
4
Total Citations
241
H-Index
4
About
Dequan Wei is a leading researcher in robotic machining, specializing in the stiffness, stability, and precision of industrial robots during milling operations. His work addresses a critical challenge: the inherent low stiffness of serial robots, which leads to vibration and deformation errors that compromise machining accuracy. Wei’s most impactful contribution is his 2018 paper on a stiffness performance index for optimizing posture and feed orientation in robotic milling, which has garnered 168 citations and serves as a foundational framework for improving process stability. He further advanced the field by developing a posture-dependent stability prediction method using an inverse distance weighted approach, demonstrating how tool-tip frequency response functions vary with robot configuration. His subsequent research on joint position-dependent stiffness parameters and deformation error prediction has enabled more accurate compensation strategies for multi-axis milling. With over 240 total citations across his key works, Wei’s systematic approach to modeling and mitigating robot flexibility has significantly influenced both academic research and industrial practice, making robotic milling more reliable for high-precision applications.
Research Focus
Key Achievements
Top Papers
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- 4Deformation Error Prediction and Compensation for Robot Multi-axis Milling12 citations · 2018