Lvchen Feng

Papers

Total Citations

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About

Lvchen Feng is a researcher focused on advanced manufacturing processes, particularly the intersection of robotics and precision machining. Their work centers on understanding how robotic posture and cutting parameters influence milling performance and surface quality, a critical area for industries requiring high-accuracy automated production. Feng’s most-cited paper, “Effect of Postures and Cutting Process on Robot Milling Performance and Surface Quality” (2021), has garnered 3 citations, laying foundational insights into optimizing robotic arm configurations to minimize vibration and improve finish in machining operations. This contribution addresses a key challenge in flexible manufacturing: balancing the inherent compliance of industrial robots with the rigidity needed for precise material removal. By systematically analyzing the relationship between toolpath, posture, and cutting forces, Feng’s research offers practical guidelines for enhancing robotic milling efficiency. Though early in their citation impact, this work signals a promising trajectory in the field of intelligent manufacturing, where adaptive control and process optimization are paramount. Feng’s findings are particularly relevant for researchers and engineers developing next-generation robotic systems for aerospace, automotive, and mold-making applications.