J. R. V. Sai Kiran

Papers

Total Citations

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About

J. R. V. Sai Kiran is a researcher focused on the intersection of robotics, surface engineering, and advanced manufacturing, with a particular emphasis on optimizing industrial spray painting processes. His work centers on enhancing surface quality and efficiency in automated painting systems, especially when applying nano-scale paints. In his most cited study, he employed a Taguchi L9 orthogonal array combined with fuzzy logic and neural network methods to systematically analyze how robot parameters—distance, pressure, and speed—affect surface roughness on CRCA steel workpieces. This research, which has garnered 5 citations, demonstrates his innovative use of multi-criteria decision-making tools to refine robotic painting outcomes. His review paper on robot nano spray painting, cited 4 times, provides a comprehensive overview of the field’s evolution since the 1970s, highlighting the benefits of automation in reducing worker exposure to hazardous chemicals while improving efficiency. Sai Kiran’s contributions are valuable for manufacturing and automotive industries seeking to achieve superior surface finishes through data-driven process optimization, making his work a practical resource for engineers and researchers in industrial robotics and materials science.