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About

Sahil Bharti is an emerging researcher specializing in advanced manufacturing, with a particular focus on incremental sheet metal forming and robot-assisted manufacturing processes. His work centers on roboforming — a cutting-edge, die-less forming technique that leverages industrial robots to manufacture complex sheet metal components with greater flexibility and cost-efficiency than conventional CNC-based systems. Bharti's most significant contributions lie in understanding and mitigating geometric inaccuracies inherent to roboforming processes. His 2024 systematic analysis of geometric inaccuracy and its contributing factors has already garnered 13 citations, establishing him as a notable voice in this specialized field. Complementing this, he has pioneered innovative preform design methodologies, introducing both frequency-based and mathematical approaches to optimize multi-stage incremental roboforming — work that addresses one of the field's core challenges in achieving precise, repeatable geometries. His research into robot configuration deviations further demonstrates a rigorous, systems-level understanding of how mechanical and positional variables affect forming outcomes. Though early in his career, Bharti's growing citation record and consistent publication output in high-relevance manufacturing topics signal meaningful contributions to the advancement of flexible, affordable sheet metal forming technologies for industry.