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About

Srinivasa Prakash Regalla is a mechanical engineering researcher whose work spans two compelling and technically demanding domains: robot-assisted incremental sheet metal forming (RAISF) and structural analysis of epicyclic gear trains. His most significant contributions lie in advancing dieless manufacturing technologies, particularly exploring how robotic manipulators can replace conventional CNC-based systems in incremental forming processes. Through systematic investigations into forming conditions, part inclination, sheet rotation, and tool path planning, Regalla has helped illuminate the complex relationships between process parameters and critical outcomes such as surface quality, sheet thinning, and overall formability — challenges central to making asymmetric sheet metal components viable without expensive dies. His 2019 study on forming conditions under RAISF has garnered 23 citations, reflecting its foundational relevance to the field. Complementing this manufacturing focus, his graph-theory-based approach to detecting degenerate structures in epicyclic gear trains (22 citations) demonstrates a breadth that extends into mechanical design and kinematics. Across multi-stage forming strategies and robotic path planning methodologies, Regalla's cumulative body of work positions him as a meaningful contributor to flexible, cost-effective manufacturing — an area of growing importance as industries seek adaptable production alternatives.