Unraveling the effect of grain size distribution on tension-compression asymmetry of polycrystalline NiTi shape memory alloys

The tension-compression asymmetry of nanograined NiTi shape memory alloy (SMA) under different loading modes is well recognized, yet how grain size distribution governs this asymmetry remains to be elucidated. Here, the influence of grain size distribution on the tension-compression asymmetry of nanograined NiTi SMA is systematically investigated using molecular dynamics simulations. In homogeneous nanograined NiTi SMA, the ratio of critical transformation stress under compression to that under tension is found to increase linearly with grain size, with larger grains leading to markedly greater differences in energy dissipation and residual strain between the two loading modes. For gradient nanograined NiTi SMA, an increase in the gradient rate is observed to effectively mitigate tension-compression asymmetry in terms of residual strain, energy dissipation, and martensite content, while concurrently endowing the material with lower residual strain, reduced energy dissipation, and enhanced martensitic transformation capability. These findings highlight the unique advantage of gradient structures in achieving synergistic optimization of mechanical properties. By elucidating the atomic-scale mechanisms governing the evolution of deformation modes such as grain boundary sliding and martensitic transformation with grain size and gradient rate, this study provides a theoretical foundation for tailoring the mechanical performance of NiTi-based smart materials through gradient microstructure design.

Authors

Institutions

Publication Details

Journal
Journal of Applied Physics
Published
2026-05-08
DOI
https://doi.org/10.1063/5.0324842
Primary Topic
Shape Memory Alloy Transformations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unraveling the effect of grain size distribution on tension-compression asymmetry of polycrystalline NiTi shape memory alloys

Liangliang Chu, Guansuo Dui, Xiang Zhu, Xiangyu Jiang et al.
Journal of Applied Physics
Shape Memory Alloy Transformations
article

Unraveling the effect of grain size distribution on tension-compression asymmetry of polycrystalline NiTi shape memory alloys

Liangliang Chu, Guansuo Dui, Xiang Zhu, Xiangyu Jiang, Chenyan Liu
article en

Abstract

The tension-compression asymmetry of nanograined NiTi shape memory alloy (SMA) under different loading modes is well recognized, yet how grain size distribution governs this asymmetry remains to be elucidated. Here, the influence of grain size distribution on the tension-compression asymmetry of nanograined NiTi SMA is systematically investigated using molecular dynamics simulations. In homogeneous nanograined NiTi SMA, the ratio of critical transformation stress under compression to that under tension is found to increase linearly with grain size, with larger grains leading to markedly greater differences in energy dissipation and residual strain between the two loading modes. For gradient nanograined NiTi SMA, an increase in the gradient rate is observed to effectively mitigate tension-compression asymmetry in terms of residual strain, energy dissipation, and martensite content, while concurrently endowing the material with lower residual strain, reduced energy dissipation, and enhanced martensitic transformation capability. These findings highlight the unique advantage of gradient structures in achieving synergistic optimization of mechanical properties. By elucidating the atomic-scale mechanisms governing the evolution of deformation modes such as grain boundary sliding and martensitic transformation with grain size and gradient rate, this study provides a theoretical foundation for tailoring the mechanical performance of NiTi-based smart materials through gradient microstructure design.

Journal of Applied PhysicsVol. 139(18)
Henan University (CN), Wuhan University of Technology (CN), Beijing Jiaotong University (CN), Hubei University of Arts and Science (CN), Wuhan University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 10%
Shape Memory Alloy Transformations
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.