Bong-Yong Kang

Korea Institute of Industrial Technology

Papers

Total Citations

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About

Bong-Yong Kang is a researcher specializing in welding engineering and automation, with a particular focus on gas metal arc welding (GMAW) processes and intelligent manufacturing systems. His most notable contribution lies in the development of predictive modeling techniques for automatic welding systems, specifically addressing the geometric characteristics of weld bead formation. His 2018 paper on prediction models for bead reinforcement areas in automatic GMAW demonstrates his commitment to advancing precision and reliability in high-volume industrial welding applications, garnering 14 citations from the welding and manufacturing research community. Kang's work addresses a critical challenge in modern manufacturing: optimizing automated welding parameters to achieve consistent, high-quality weld joints without costly trial-and-error processes. By establishing predictive frameworks that account for welding parameter sequences and equipment movement dynamics, his research helps reduce production costs and improve process efficiency in industries where automated welding systems represent significant capital investments. His contributions are particularly relevant to automotive, aerospace, and heavy manufacturing sectors, where weld quality directly impacts structural integrity and safety. His research bridges the gap between theoretical welding science and practical industrial automation, making it valuable for both academic researchers and industry practitioners seeking to optimize their welding processes.