Chang-Qing Shen

Huazhong University of Science and Technology

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Total Citations

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About

Chang-Qing Shen is a researcher specializing in manufacturing dynamics, with a particular focus on robotic milling and machining processes. His work centers on understanding and mitigating chatter—a detrimental vibration phenomenon that compromises precision and tool life in industrial machining. Shen’s major contribution lies in the development of novel diagnostic methods for detecting mode-coupling chatter, a complex instability that arises from the interaction between structural dynamics and cutting forces. In his most-cited 2024 paper, he introduced chatter type indicators extracted via dynamic mode decomposition, offering a data-driven approach to identify and predict chatter onset in robotic systems. This work has garnered 15 citations, reflecting its timely relevance as robotics becomes integral to flexible manufacturing. Shen’s research bridges theoretical dynamics and practical process control, providing engineers with tools to enhance machining stability and productivity. His innovative use of advanced signal processing techniques marks a significant step toward intelligent, self-optimizing manufacturing systems. For students and researchers in mechanical engineering or robotics, Shen’s work offers a compelling example of how dynamic analysis can solve real-world industrial challenges.