Subramaniam Thangavel
Papers
1
Total Citations
2
H-Index
1
About
Subramaniam Thangavel is a researcher at the forefront of advanced manufacturing and Industry 5.0, with a focused expertise in intelligent welding automation and quality prediction. His work centers on integrating digital twin technology with real-time process monitoring to enhance precision in tungsten inert gas (TIG) welding—a critical process for high-quality manufacturing. Thangavel’s major contribution lies in developing a digital twin-based framework that predicts welding quality by analyzing electrode tip angle degradation, a novel approach that bridges physical wear with virtual simulation. This innovation directly supports the human-centric, resilient, and sustainable goals of Industry 5.0, offering a pathway to reduce defects and improve production efficiency. His most-cited paper, published in 2024, has already garnered 2 citations, reflecting its timely relevance in the evolving landscape of smart manufacturing. By combining vision-based inspection systems with intelligent robotics, Thangavel is helping to automate quality control, reduce manual intervention, and push the boundaries of what is possible in precision welding. His work is a valuable resource for students and researchers exploring the intersection of digital twins, manufacturing automation, and Industry 5.0.
Research Focus
Key Achievements
Top Papers
- 1