Min-Sung Park
Papers
1
Total Citations
5
H-Index
1
About
Min-Sung Park is a researcher focused on advancing robotic welding automation and quality control in manufacturing processes. His work centers on optimizing welding parameters to enhance weld integrity and system reliability, addressing critical challenges in industrial automation. His most-cited paper, "Control of the weld quality using welding parameters in a robotic welding process" (2018), with 5 citations, introduces predictive models that correlate welding variables—such as current, voltage, and travel speed—with weld quality outcomes. This contribution is pivotal for developing adaptive control systems that minimize defects and improve efficiency in automated welding environments. Park’s research supports the growing demand for intelligent manufacturing solutions, where precise parameter management is essential for consistent, high-quality welds. His work has practical implications for industries like automotive and aerospace, where robotic welding is integral. By bridging process control and automation, Park provides a foundation for future studies on real-time monitoring and fault detection in welding systems. His findings underscore the importance of data-driven approaches in modern manufacturing, offering valuable insights for engineers and researchers aiming to enhance productivity and quality in robotic welding applications.
Research Focus
Key Achievements
Top Papers
- 1