Chandrakant K. Nirala

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About

Chandrakant K. Nirala is a researcher focused on advanced manufacturing, particularly in robotic additive manufacturing and laser-based processes. His major contributions center on developing innovative tool-path generation strategies for complex geometries, as demonstrated in his highly cited 2023 work on offline programming for robotic laser additive manufacturing. This study addresses the critical challenge of fabricating parts with overhang angles and intricate features, showcasing how software environments can optimize robotic arm trajectories for wire-feed systems. With 4 citations, this paper has quickly gained attention for its practical implications in automating additive manufacturing workflows. Nirala’s research bridges the gap between computational simulation and real-world robotic fabrication, offering solutions that enhance precision and efficiency in producing complex components. His work is particularly notable for its focus on small overhang angles—a persistent difficulty in additive manufacturing—and its integration of offline programming to reduce trial-and-error in industrial settings. By advancing robotic tool-path generation, Nirala contributes to the broader goal of scalable, automated production for aerospace, automotive, and biomedical applications. His findings are valuable for researchers and engineers seeking to push the boundaries of what is possible with robotic additive manufacturing.