K. Shankhwar

Papers

Total Citations

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About

Dr. K. Shankhwar is a leading researcher in advanced manufacturing and computational modeling, with a primary focus on wire and arc additive manufacturing (WAAM) and the application of artificial intelligence techniques to optimize industrial processes. His most influential work, "Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing" (2016), has garnered 74 citations, establishing a foundational framework for predicting and controlling bead geometry in WAAM. This contribution is critical for improving the precision and reliability of additive manufacturing, directly impacting the production of complex metal components. Dr. Shankhwar’s research integrates evolutionary algorithms with process simulation, enabling data-driven insights that reduce trial-and-error in manufacturing. His work is widely recognized for bridging the gap between computational intelligence and practical fabrication, offering scalable solutions for industries like aerospace and automotive. By advancing the understanding of process-structure relationships, Dr. Shankhwar has positioned himself as a key figure in the evolution of smart manufacturing, inspiring further exploration into hybrid modeling approaches for sustainable production.