Papers
1
Total Citations
3
H-Index
1
About
Pei Yan is a researcher whose work centers on the intersection of robotic machining and manufacturing precision, with a particular focus on the dynamic behavior of industrial robots during material removal processes. Their most notable contribution, the 2021 study "Effect of Postures and Cutting Process on Robot Milling Performance and Surface Quality," investigates how robot arm configurations and cutting parameters influence machining outcomes—a critical concern for industries seeking to replace traditional CNC machines with more flexible robotic systems. This work, which has garnered 3 citations, lays foundational insights into optimizing robot stiffness and trajectory to enhance surface finish and dimensional accuracy. Yan’s research addresses the practical challenges of robotic milling, such as vibration and deflection, offering data-driven strategies for improving process reliability. By bridging the gap between theoretical robotics and applied manufacturing, Yan provides valuable guidance for engineers and researchers working toward high-precision automation. Their contributions are particularly relevant for aerospace, automotive, and mold-making sectors, where surface quality is paramount. Yan’s work underscores the importance of posture planning in achieving industrial-grade performance from robotic systems.
Research Focus
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Top Papers
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