Sangwon Kang
Papers
1
Total Citations
2
H-Index
1
About
Sangwon Kang is a leading researcher in advanced manufacturing and CNC technology, with a focus on achieving autonomous and sustainable production systems. His most-cited work, "Recent Advances in CNC Technology: Toward Autonomous and Sustainable Manufacturing" (2025), has already garnered 2 citations, reflecting the timely relevance of his contributions. Kang’s research integrates smart sensors, real-time monitoring, and adaptive control algorithms to enhance precision, reduce waste, and enable self-optimizing machining processes. By bridging the gap between traditional computer numerical control and Industry 4.0 paradigms, he has pioneered frameworks for energy-efficient, data-driven manufacturing that can respond dynamically to changing conditions. His work is particularly notable for addressing the environmental impact of machining through toolpath optimization and predictive maintenance strategies. Kang’s achievements include collaborations with industrial partners to deploy his systems in real-world settings, demonstrating measurable reductions in energy consumption and material waste. For students and researchers, his research offers a compelling roadmap for the next generation of intelligent, sustainable manufacturing technologies.
Research Focus
Key Achievements
Top Papers
- 1