Amitava Mandal
Papers
6
Total Citations
85
H-Index
5
About
Dr. Amitava Mandal is a leading researcher in advanced manufacturing, with a primary focus on wire arc additive manufacturing (WAAM) and the integration of machine learning for process optimization. His work addresses critical challenges in metal additive manufacturing, particularly in achieving superior surface quality and understanding material behavior. Dr. Mandal’s most influential paper, “Implementing machine learning in robotic wire arc additive manufacturing for minimizing surface roughness” (2024, 28 citations), pioneers the use of AI to solve a key industrial bottleneck. He has also made significant contributions to the characterization of aluminum and copper-silicon alloys in WAAM, exploring how process parameters like tool speed and path planning affect microstructure, mechanical properties, and wear behavior. His research on ER-4043 aluminum alloy (over 35 combined citations) and path planning strategies (14 citations) has provided foundational knowledge for producing high-quality 3D metallic structures. With a growing citation record and recent work on estimating deposition rates using machine learning, Dr. Mandal is at the forefront of creating smarter, more efficient additive manufacturing systems, bridging the gap between data-driven algorithms and practical metal fabrication.
Research Focus
Key Achievements
Top Papers
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