T. Ch Anilkumar
Papers
2
Total Citations
39
H-Index
2
About
T. Ch Anilkumar is a leading researcher at the intersection of additive manufacturing, industrial robotics, and intelligent automation, with a core focus on advancing sustainable manufacturing through Industry 5.0 technologies. His major contributions lie in integrating Internet of Things (IoT) and machine learning into wire arc additive manufacturing (WAAM) processes. Specifically, he pioneered machine learning-based adaptive bead modeling and path planning, enabling industrial robots to produce more precise, efficient, and sustainable metal components. His most cited work (2022, 23 citations) explores how IoT transforms additive manufacturing by digitizing real-time data for process optimization, while his subsequent study (2023, 16 citations) refines bead modeling using robotic WAAM systems. These contributions are notable for bridging the gap between smart factory concepts and practical, large-scale metal 3D printing. Anilkumar’s research is particularly impactful for students and engineers seeking to understand how data-driven methods can reduce material waste, improve deposition accuracy, and automate quality control in industrial settings. His work positions him as a key voice in the evolution toward fully autonomous, IoT-enabled manufacturing ecosystems.
Research Focus
Key Achievements
Top Papers
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