Bong-Yong Kang

Korea Institute of Industrial Technology

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About

Dr. Bong-Yong Kang is a distinguished researcher in advanced manufacturing and robotic welding systems, with a focus on intelligent process control and automation. His seminal work on fuzzy regression methods for predicting and controlling bead width in robotic arc-welding, published in 2005, has garnered 52 citations and remains a foundational reference for quality optimization in automated welding. Dr. Kang further advanced the field through his 2007 study on bead geometry prediction, which provided critical insights for enhancing weld precision in robotic systems. His contributions have directly influenced the development of adaptive welding technologies, enabling more reliable and efficient manufacturing processes. By integrating fuzzy logic with real-time process control, Dr. Kang has helped bridge the gap between theoretical modeling and practical industrial application. His research continues to support innovations in smart manufacturing, particularly in sectors requiring high-accuracy welding, such as automotive and aerospace. With a career dedicated to improving robotic welding performance, Dr. Kang’s work stands as a key reference for engineers and researchers seeking to optimize automated fabrication systems.