Papers
3
Total Citations
14
H-Index
2
About
S. Narendranath is a materials and manufacturing engineer whose research sits at the intersection of advanced alloy processing, smart materials, and precision machining. His work focuses primarily on Shape Memory Alloys (SMAs), particularly Titanium-Nickel-based systems, and their machinability using advanced techniques such as Wire Electrical Discharge Machining (WEDM). Narendranath has made meaningful contributions to understanding how complex alloys like TiNiCu, TiNiCo, and Ni50.3Ti29.7Hf20 behave under various processing and loading conditions, bridging fundamental material science with practical manufacturing challenges. His research addresses critical questions in optimizing machining parameters for difficult-to-cut SMA materials, employing sophisticated decision-making tools such as TOPSIS and Grey Wolf Optimization techniques to enhance process efficiency and output quality. His 2010 investigation into the dry sliding wear properties of aged TiNiCu alloys demonstrated early expertise in characterizing SMA tribological behavior, while his subsequent studies expanded into multi-component alloy systems vital for biomedical, aerospace, and robotics applications. Collectively accumulating citations across international publications, Narendranath's work serves as a valuable resource for researchers and engineers working to harness the unique superelastic and shape memory properties of these transformative materials in next-generation engineering systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Effect of Applied Load on Dry Sliding Wear Property of Aged TiNiCu Alloy6 citations · 2010
- 3