Ananda Rabi Dhar

National Institute of Technology Durgapur

Papers

Total Citations

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About

Ananda Rabi Dhar is a researcher at the forefront of integrating artificial intelligence with advanced manufacturing, specializing in robotic wire and arc additive manufacturing (WAAM). His work centers on developing hybridized artificial neural network-based expert systems to model and optimize complex additive manufacturing processes, bridging the gap between computational intelligence and industrial fabrication. Dhar’s most-cited paper, published in 2021, has garnered 9 citations, reflecting its growing influence in the field of smart manufacturing. This study demonstrates how AI-driven models can predict and control process parameters, enhancing the precision and efficiency of robotic WAAM systems—a critical advancement for producing large-scale metal components. Beyond this, Dhar’s contributions extend to exploring the synergy between machine learning and manufacturing automation, offering practical solutions for real-time process monitoring and quality assurance. His work is particularly notable for its interdisciplinary approach, combining materials science, robotics, and data analytics to push the boundaries of additive manufacturing. For students and researchers, Dhar’s research provides a compelling blueprint for leveraging AI to solve engineering challenges, making him a key figure in the evolution of intelligent, sustainable production technologies.