scispace - formally typeset
U

U.S. Mallik

Researcher at Indian Institute of Technology Madras

Publications -  10
Citations -  301

U.S. Mallik is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Alloy & Shape-memory alloy. The author has an hindex of 4, co-authored 5 publications receiving 250 citations.

Papers
More filters
Journal ArticleDOI

Influence of aluminum and manganese concentration on the shape memory characteristics of Cu–Al–Mn shape memory alloys

TL;DR: In this paper, a linear regression analysis was performed on four sets of Cu-Al-Mn shape memory alloys, in the range of 10-15% of aluminum and 0-10% of manganese, by ingot metallurgy.
Journal ArticleDOI

Effect of composition and ageing on damping characteristics of Cu–Al–Mn shape memory alloys

TL;DR: In this paper, the damping behavior of the alloys was studied using a dynamic mechanical analyzer and it was shown that damping capacity increases with an increase in the aluminum content when the Cu/Mn ratio or amount of manganese is maintained constant.
Journal ArticleDOI

Influence of quaternary alloying additions on transformation temperatures and shape memory properties of Cu–Al–Mn shape memory alloy

TL;DR: In this article, a ternary shape memory alloy with different amounts of quaternary elements Zn, Si, Fe, Pb, Ni, Mg, Cr and Ti were added to the base alloy.
Journal ArticleDOI

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.
Journal ArticleDOI

Effect of Grain Refinement on Shape Memory Properties of Cu-Al-Mn SMAs

TL;DR: In this article, the shape memory effect and superelasticity of the alloys were determined by bend and tensile tests on the alloy specimens, which revealed that Boron acts as a good grain refiner, resulting in a reduction of about 80% in grain size.