Vimal R. Pradhan

Papers

Total Citations

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About

Dr. Vimal R. Pradhan’s research centers on the parametric optimization of advanced manufacturing processes, with a particular focus on composite materials like glass-fibre-reinforced plastic (GFRP). His most cited work, “Parametric optimization of CNC turning on glass-fibre-reinforced plastic (GFRP) pipes: A grey-fuzzy logic approach” (2018, 7 citations), introduces a novel grey-fuzzy logic methodology to optimize cutting parameters during CNC turning. This contribution is significant because GFRP—a high-strength, lightweight composite used in aircraft, robotics, and machine tools—poses unique machining challenges due to its abrasive and heterogeneous nature. By systematically applying grey relational analysis combined with fuzzy logic, Dr. Pradhan’s approach reduces tool wear and improves surface finish, offering a robust framework for enhancing the machinability of advanced composites. His work bridges the gap between theoretical optimization models and practical industrial applications, providing engineers with data-driven tools to improve efficiency and product quality. Dr. Pradhan’s research is particularly valuable for students and researchers exploring sustainable manufacturing techniques for difficult-to-machine materials, and his citation record reflects a growing interest in intelligent optimization methods within the composites machining community.