Zhuang Zhao

Nanjing University of Science and Technology

Papers

Total Citations

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About

Zhuang Zhao is a researcher specializing in intelligent welding and additive manufacturing, with a focus on laser vision-based seam tracking and molten pool monitoring. His most influential work, "Additive seam tracking technology based on laser vision" (2021), has garnered 46 citations, establishing a foundational approach for real-time weld path correction in automated systems. Zhao’s contributions extend to addressing critical challenges in welding quality control, as demonstrated in his study on "Hump weld bead monitoring based on transient temperature field of molten pool" (2019), which provides insights into defect detection through thermal dynamics. His recent innovation, the "Anti-noise weld seam tracking algorithm based on spatio-temporal memory mechanism" (2024), introduces a robust method for maintaining tracking accuracy in noisy industrial environments. By integrating computer vision, thermal analysis, and adaptive algorithms, Zhao’s work advances the reliability and precision of automated welding processes. His research is particularly impactful for applications in aerospace, automotive, and heavy manufacturing, where consistent weld quality is paramount. With a growing citation record and a focus on practical, noise-resistant solutions, Zhao continues to shape the future of intelligent manufacturing systems.