Papers
9
Total Citations
235
H-Index
7
About
Manidipto Mukherjee is a versatile engineering researcher whose work spans laser materials processing, advanced manufacturing, and smart robotic systems. He first established his reputation in laser welding, with his comparative study of pulsed Nd:YAG laser welding of AISI 304 and AISI 316 stainless steels earning over 117 citations — a testament to its practical relevance in industrial fabrication. His follow-up investigation into the effects of beam incident angle on austenitic stainless steel welding further refined process understanding, accumulating 57 citations and solidifying his standing in precision joining technology. Mukherjee has since broadened his research into wire arc additive manufacturing (WAAM), developing near-homogeneous properties in low-carbon steel components and applying artificial neural network-based modelling — both expert systems and bidirectional approaches — to optimize this emerging fabrication process. Alongside these efforts, he has made meaningful contributions to smart robotics, designing planar parallel manipulators actuated by NiTi shape memory alloy (SMA) springs and developing non-linear models to characterize their behavior. This fusion of intelligent actuation, advanced manufacturing, and machine learning reflects a research vision aimed at building precise, lightweight, and adaptive engineering systems — making Mukherjee a compelling figure for students working at the intersection of manufacturing and robotics.
Research Focus
Key Achievements
Top Papers
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