Yuang Zhao

Papers

Total Citations

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About

Yuang Zhao is a leading researcher in advanced manufacturing and robotic machining, with a focus on precision milling of thin-walled structures. His work addresses critical challenges in aerospace and automotive industries, particularly the dynamic behavior and chatter prediction during robotic machining processes. Zhao’s most-cited paper, "Dynamic characteristics and chatter prediction of thin-walled workpieces in dual-robot mirror milling based on surrogate model of support parameters" (2024, 19 citations), introduces a novel surrogate modeling approach to optimize support parameters, significantly enhancing machining stability and surface quality. This contribution has been recognized for its potential to reduce production errors and improve efficiency in complex, large-scale component manufacturing. Zhao’s research integrates machine learning, robotics, and structural dynamics, offering practical solutions for real-time process control. His work has garnered attention for its innovative use of dual-robot systems, enabling simultaneous machining and support to mitigate vibration. With a growing citation record, Zhao is establishing himself as a key figure in the intersection of robotics and precision engineering, driving advancements that promise to transform high-stakes manufacturing environments.