Sining Zhang

Papers

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About

Sining Zhang is a researcher in advanced manufacturing and precision engineering, with a focus on adaptive polishing systems and dynamic modeling. Their most-cited work, "Dynamic Model Identification for Adaptive Polishing System" (2022), has garnered 3 citations, laying foundational insights into the real-time control and optimization of polishing processes for high-precision surfaces. This contribution addresses critical challenges in automated manufacturing, enhancing the adaptability and efficiency of robotic polishing systems used in industries like optics and aerospace. Zhang’s research bridges theoretical modeling with practical applications, offering solutions for reducing surface defects and improving process repeatability. While still early in their career, their work signals a commitment to advancing intelligent manufacturing technologies. For students and researchers exploring adaptive control or precision engineering, Zhang’s studies provide a concise entry point into the complexities of dynamic system identification, with potential implications for broader automation and quality control in industrial settings.