Beomjin Kim
Papers
1
Total Citations
1
H-Index
1
About
Dr. Beomjin Kim is a leading researcher in advanced manufacturing and intelligent automation, with a primary focus on the quality assurance of robotic joining processes for multi-material lightweight structures. His work is pivotal in the development of real-time, data-driven methods for process monitoring and defect detection. Dr. Kim’s major contribution is the creation of a machine learning framework for the real-time quality classification of robotic self-piercing rivet (SPR) processes, specifically for joining carbon fiber reinforced polymer (CFRP) to steel. By using pressing force as a key input, his 2025 study demonstrated a novel approach that moves beyond traditional, post-process inspection. This work, already garnering initial citations, is critical for enabling high-speed, reliable automation in the automotive and aerospace industries, where the demand for lightweight, high-strength joints is paramount. Dr. Kim’s research directly addresses the challenge of ensuring joint integrity in real-time, a significant step toward fully autonomous, zero-defect manufacturing systems.
Research Focus
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Top Papers
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