R. Bhalamurugan

Papers

Total Citations

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About

R. Bhalamurugan is a researcher specializing in manufacturing process optimization and automation, with a particular focus on robotic systems and quality engineering. His most-cited work, "Performance Characteristic Analysis of Automated Robot Spray Painting Using Taguchi Method and Gray Relational Analysis" (2015, 24 citations), exemplifies his core contribution: integrating Taguchi robust design with gray relational analysis to enhance efficiency and precision in automated painting processes. This study provides a systematic framework for optimizing multiple performance parameters simultaneously, offering practical insights for industries seeking to reduce waste and improve finish quality in robotic applications. Bhalamurugan’s research bridges statistical methods and industrial automation, demonstrating how multi-objective optimization can elevate manufacturing outcomes. While his citation count reflects a focused but impactful niche, his work is particularly valuable for students and practitioners in mechanical and industrial engineering, as it presents a replicable methodology for process improvement. By combining theoretical rigor with real-world applicability, Bhalamurugan has contributed to advancing smart manufacturing techniques, making his research a useful reference for those exploring the intersection of robotics, design of experiments, and quality control.