Han-Yong Yoon
Papers
1
Total Citations
14
H-Index
1
About
Han-Yong Yoon has made significant contributions to the field of automated welding process optimization, with a particular focus on gas metal arc welding (GMAW) systems. His research centers on developing predictive models to enhance weld quality and efficiency in high-volume manufacturing environments. Yoon’s most cited work, "Prediction model for bead reinforcement area in automatic gas metal arc welding" (2018), has garnered 14 citations, establishing a foundation for understanding how welding parameters influence bead geometry. This model addresses critical challenges in automatic welding, where precise control of movement devices, parameter sequences, and timers is essential for forming reliable weld joints. By enabling more accurate predictions of bead reinforcement, Yoon’s research helps reduce material waste and improve joint strength in industrial applications. His work is particularly valuable for industries requiring large-scale production, such as automotive and heavy machinery manufacturing. Yoon’s contributions advance the integration of computational modeling with practical welding automation, offering engineers and researchers actionable insights for optimizing process parameters and enhancing overall system reliability.
Research Focus
Key Achievements
Top Papers
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