Papers
2
Total Citations
46
H-Index
2
About
Yongjian Ji is a researcher focused on the dynamics and stability of robotic machining, particularly in the context of large-scale component manufacturing. His work addresses a critical challenge in industrial robotics: the propensity for chatter—self-excited vibrations that degrade surface quality and tool life—during robotic milling. Ji’s major contributions include the development of an updated full-discretization method for predicting chatter stability under varying cutter orientations, a key advancement for multi-axis robotic operations. His most-cited paper (2022, 37 citations) provides a robust framework for this prediction, while his subsequent research (2024, 9 citations) systematically investigates how cutter overhang length influences stability, offering practical guidance for process planning. By tackling the structural compliance of serial robots, Ji’s work bridges theoretical modeling and industrial application, enabling more reliable and efficient milling of large components. His findings are essential for engineers seeking to optimize robotic machining parameters, reduce downtime, and improve part accuracy. With growing citation impact, Yongjian Ji is establishing himself as a notable contributor to the field of robotic manufacturing dynamics.
Research Focus
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