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V. Sampath

Researcher at Indian Institute of Technology Madras

Publications -  49
Citations -  949

V. Sampath is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Shape-memory alloy & Microstructure. The author has an hindex of 13, co-authored 45 publications receiving 705 citations. Previous affiliations of V. Sampath include Ruhr University Bochum.

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Studies on the effect of grain refinement and thermal processing on shape memory characteristics of Cu–Al–Ni alloys

TL;DR: In this article, a grain refinement and thermomechanical processing of Ni-Ti shape memory alloys has been conducted to increase the shape memory characteristics and ductility of copper-based alloys.
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Effect of alloying on microstructure and shape memory characteristics of Cu–Al–Mn shape memory alloys

TL;DR: In this paper, the shape memory effect and superelasticity of shape memory alloys with 10−14.5% of aluminum and 0−10% of manganese were studied.
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Improvement of Shape-Memory Characteristics and Mechanical Properties of Copper–Zinc–Aluminum Shape-Memory Alloy with Low Aluminum Content by Grain Refinement

TL;DR: In this article, grain refining was used to overcome the formation of coarse grains during casting, grain-refining additions were made to the liquid alloy, but the extent of grain refining achieved and its effect on the shape recovery strain varies from one study to another.
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Composite Materials Based on Shape-Memory Ti2NiCu Alloy for Frontier Micro- and Nanomechanical Applications

TL;DR: In this paper, the shape memory effect (SME) of composite materials based on Ti2NiCu alloy has been demonstrated and three approaches to realize this objective are demonstrated: the first one involves creating an amorphous-crystalline composite by passing accurately controlled electrical pulses through a rapidly-quenched ammorphous Ti 2NiCu ribbon, which can be trained to undergo reversible deformations by a single bend in the martensitic condition.