T. Muthuramalingam

Papers

Total Citations

H-Index

About

T. Muthuramalingam is a prominent researcher in advanced manufacturing and process optimization, with a focus on sustainable machining and non-traditional material removal techniques. His work primarily explores the optimization of machining parameters for difficult-to-cut materials, including aluminum alloys and titanium, using hybrid approaches that integrate Taguchi methods, Grey relational analysis, and response surface methodology. One of his most cited contributions, "Optimisation of multiple response characteristics on end milling of aluminium alloy using Taguchi-Grey relational approach" (2018, 71 citations), demonstrates his expertise in multi-objective optimization, where he systematically improves surface finish, tool wear, and material removal rates simultaneously. This study has become a foundational reference for researchers seeking efficient, cost-effective machining solutions. Beyond this, his broader portfolio addresses electrical discharge machining (EDM), wire EDM, and cryogenic cooling, often incorporating artificial intelligence and statistical tools to enhance process predictability. With over 70 citations on this single paper and a growing h-index, Muthuramalingam’s work has influenced both academic research and industrial practice, particularly in automotive and aerospace sectors. His achievements include developing novel hybrid optimization frameworks and contributing to sustainable manufacturing through reduced energy consumption and waste. For students and researchers, his work offers a clear, data-driven pathway to mastering complex machining challenges.