Research Area

• Shape materials
• Shape memory alloys
• Physical metallurgy
• Composite materials
• Failure analysis

Experience

• 2009 - till date

  Professor

• 2006 - 2009

  Associate Professor

• 1995 - 2006

  Assistant Professor

• 1990 - 1995

  Lecturer

About

Dr. V.Sampath is currently a Professor (HAG) in the Department of Metallurgical and Materials Engineering at IIT Madras. He has been working for IIT Madras for more than 32 years now, joining as Lecturer in April 1990 and rose through the levels of Assistant Professor and Associate Professor. He received his B.E. (Hons.) Degree in Metallurgical and Materials Engineering from NIT Trichy, and M.E. and Ph.D. Degrees in Metallurgy from Indian Institute of Science, Bangalore.
His research interests revolve around smart materials, especially shape memory alloys, composite materials, and theoretical/modelling studies of shape memory alloys. He has vast experience in the field of shape memory alloys leading to the development of several NiTi-, Fe- and Cu-based SMAs. Currently, his research group mainly focuses on the functional fatigue behaviour of SMAs and the development of novel high-temperature shape memory alloys for critical applications. Due to the current pandemic situation, his group has now started working on the design of new shape memory alloys for diverse applications involving theoretical and modelling studies.
His research has been supported by various funding agencies,...

Selected Journal Publications

• S Santosh, V Sampath, RR Mouliswar, Hot Deformation Characteristics of NiTiV Shape Memory Alloy and Modeling using Constitutive Equations and Artificial Neural Networks, Journal of Alloys and Compounds 901, 163451, (2022).
• Swaminathan, G, and V. Sampath, Effect of operating parameters on functional fatigue characteristics of a Ni-Ti shape memory alloy on partial thermomechanical cycling, Journal of Intelligent Material Systems and Structures, 33, 14, 1834-1845, (2022).
• G Swaminathan, V Sampath, Observation of Transformation Strain Arrest During Partial Thermomechanical Cycling of a NiTi Shape Memory Alloy, Metallurgical and Materials Transactions A 52, 7, 3182-3189, (2021).

Recognitions

• 2022

  Best paper award for the paper titled Artificial Neural Network-Based Prediction of Functional Fatigue Behaviour of a NiTiShape Memory Alloy G251 (authored by Swaminathan G., Sampath V. and Adarsh S. H.) at the International Conference on Recent Developments in Mechanical Engineering (ICRDME 2022), held at SIT, Tumakuru, Karnataka, during 24-25 June 2022

• 2021

  Guest Editor of the Special Issue on Smart Materials published by the Transactions of the Indian Institute of Metals (Springer Journal), Mar. 2021

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