Sumit K. Sharma
Papers
9
Total Citations
105
H-Index
6
About
Dr. Sumit K. Sharma is a leading researcher in advanced manufacturing, with a primary focus on **wire arc additive manufacturing (WAAM)**. His work sits at the critical intersection of materials science, robotics, and artificial intelligence, addressing the most pressing challenges in metal 3D printing. Dr. Sharma’s major contributions include pioneering the use of **machine learning and deep learning** to solve fundamental WAAM problems, such as minimizing surface roughness and detecting deposition anomalies in real-time. He has also conducted extensive experimental studies on the **microstructure, mechanical properties, and wear behavior** of various alloys—including aluminum (ER-4043, 5356) and copper-silicon—demonstrating how process parameters like tool speed and deposition angle directly influence part quality. With over **100 total citations** across his top papers, his work on robotic path planning and multi-objective optimization using genetic algorithms provides a practical framework for producing high-integrity metallic components. Dr. Sharma’s research is not only highly cited but also directly applicable to industrial settings, making him a key figure in the evolution of WAAM from a laboratory technique to a robust, intelligent manufacturing solution.
Research Focus
Key Achievements
Top Papers
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- 7Deep learning for anomaly detection in wire-arc additive manufacturing6 citations · 2023
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