Influence of Grain Size on Shape Memory and Internal Friction in Cu69.26Al25.86Mn4.88 Alloy

Shape-memory alloys belong to the functional materials, which exhibit shape memory, superelasticity and high damping-capacity phenomena. Cu–Al–Mn shape-memory alloys remain of particular interest as they show good ma-chinability and are much cheaper than nitinol. In addition, their functional performance is quite attractive as well. The present paper is dedicated to the changes in shape memory and internal friction induced by the grain-size re-duction in low-temperature cast Cu69.26Al25.86Mn4.88 alloy.

Authors

Publication Details

Journal
METALLOFIZIKA I NOVEISHIE TEKHNOLOGII
Published
2024-09-30
DOI
https://doi.org/10.15407/mfint.46.09.0933
Citations
1
Primary Topic
Shape Memory Alloy Transformations
Type
article
Field-Weighted Citation Impact
0.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of Grain Size on Shape Memory and Internal Friction in Cu69.26Al25.86Mn4.88 Alloy

V. V. Odnosum, V. M. Slipchenko, G. S. Firstov, Alexander S. Filatov et al.
1 citations
METALLOFIZIKA I NOVEISHIE TEKHNOLOGII
Shape Memory Alloy Transformations
0.12
article

Influence of Grain Size on Shape Memory and Internal Friction in Cu69.26Al25.86Mn4.88 Alloy

V. V. Odnosum, V. M. Slipchenko, G. S. Firstov, Alexander S. Filatov, В. С. Філатова, Oleksandr Shcheretskyi, Yu. M. Koval
article en
1 citations

Abstract

Shape-memory alloys belong to the functional materials, which exhibit shape memory, superelasticity and high damping-capacity phenomena. Cu–Al–Mn shape-memory alloys remain of particular interest as they show good ma-chinability and are much cheaper than nitinol. In addition, their functional performance is quite attractive as well. The present paper is dedicated to the changes in shape memory and internal friction induced by the grain-size re-duction in low-temperature cast Cu69.26Al25.86Mn4.88 alloy.

METALLOFIZIKA I NOVEISHIE TEKHNOLOGIIVol. 46(9)
Openalex Percentile: Top 56%
Shape Memory Alloy Transformations
0.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.