Y. P. Deepthi

Papers

Total Citations

H-Index

About

Y. P. Deepthi is a researcher in manufacturing engineering and robotics, with a focus on process optimization for advanced machining and automation. Her work centers on improving surface quality and efficiency in deburring processes, particularly through the application of robotic manipulators. Her most-cited study, "Parametric Optimization of Surface Roughness of Deburring Process on Aluminum Alloy Using SCARA Manipulator" (2018), investigates the influence of key process parameters—such as spindle speed, feed rate, and tool geometry—on surface roughness during robotic deburring of aluminum alloys. By employing statistical optimization methods, she identifies optimal parameter combinations that minimize surface roughness, thereby enhancing product quality and reducing manual finishing requirements. This contribution is valuable for industries seeking to automate precision finishing tasks, offering a data-driven approach to parameter selection that improves repeatability and efficiency. While her citation count is modest, her work represents a practical step toward integrating robotics into manufacturing processes, with potential applications in aerospace, automotive, and consumer goods production. Deepthi’s research underscores the importance of systematic optimization in bridging the gap between theoretical automation and real-world manufacturing challenges.