Sang Min Yang
Papers
1
Total Citations
4
H-Index
1
About
Sang Min Yang is a pioneering researcher at the intersection of advanced manufacturing and artificial intelligence. His primary research areas include robotic machining, carbon fiber reinforced plastics (CFRP) processing, and the integration of digital twin technologies with AI to enhance manufacturing precision and efficiency. Yang’s major contribution lies in developing an artificial intelligence-augmented digital twin framework that significantly improves machinability in robotic CFRP machining processes—a critical advancement for industries like aerospace and automotive where material integrity and process optimization are paramount. His 2025 paper on this topic has already garnered 4 citations, reflecting early recognition of its practical impact. Yang’s work stands out for its innovative fusion of real-time simulation, machine learning, and robotic control, addressing long-standing challenges in machining composite materials. By enabling more accurate predictions of tool wear and surface quality, his research promises to reduce waste and production costs. As a forward-thinking engineer, Yang is shaping the future of smart manufacturing, where digital twins and AI converge to create self-optimizing production systems.
Research Focus
Key Achievements
Top Papers
- 1