Pinzhang Wang
Papers
3
Total Citations
26
H-Index
3
About
Pinzhang Wang is a researcher advancing the precision and capability of industrial robots for high-stakes manufacturing, with a focus on aerospace applications. His work centers on robotic machining dynamics, vibration suppression, and trajectory accuracy—critical challenges in using robots for tasks like milling large, flexible aerospace structures. Wang’s major contributions include developing a robot-assisted clamping system that suppresses machining vibration in cantilever parts, a method that directly addresses the deformation and chatter that plague thin-walled components. He has also pioneered a stiffness strengthening method for mobile industrial robots in in-situ milling, combining dynamics modelling with structural reinforcement to enhance rigidity. To counteract trajectory errors caused by milling force disturbances, Wang has applied neural-network-based compensation, enabling robots to maintain precision under load. His most cited paper (2023) has garnered 11 citations, reflecting growing interest in his practical solutions. Collectively, his work bridges the gap between robot flexibility and the stringent accuracy demands of aerospace manufacturing, offering tangible pathways to more efficient, automated production.
Research Focus
Key Achievements
Top Papers
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