Understanding of mechanical behavior of FeMnCoCr high entropy alloy nanowire with varying mean grain size: an atomistic approach

Abstract Molecular dynamics simulations were employed to investigate the mechanical properties and deformation mechanisms of Fe 50 Mn 30 Co 10 Cr 10 high-entropy alloy (HEA) nanowires (NWs). Seven polycrystalline samples with varying mean grain size (MGS) ranging from 3.98 to 20.97 nm were subjected to simulated tensile testing. Results demonstrate that the sample with the largest MGS (20.97 nm) exhibits a combination of the highest strength and remarkable ductility among the simulated samples. This enhanced strength stems from high dislocation density and the pinning effect of Hirth dislocations. Concurrently, the exceptional ductility is attributed to a reduction in Stair-rod dislocation density, a face centered cubic (fcc) to hexagonal close packed (hcp) phase transition, and the formation of deformation twins. For the sample with the smallest MGS (3.98 nm), high ductility arises from both phase transformation and amorphization. Furthermore, during deformation the surfaces of NWs function analogously to grain boundaries as defect nucleation sites, while additionally serving as preferential nucleation sites for necking during fracture. These findings provide significant insights into the grain size dependence of mechanical properties in HEA NWs and elucidate the underlying deformation mechanisms.

Authors

Institutions

Publication Details

Journal
Modelling and Simulation in Materials Science and Engineering
Published
2025-09-26
DOI
https://doi.org/10.1088/1361-651x/ae0c28
Primary Topic
High Entropy Alloys Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding of mechanical behavior of FeMnCoCr high entropy alloy nanowire with varying mean grain size: an atomistic approach

Xianzhong Tang, Binjun Wang, Hao Yang, Hongti Zhang et al.
Modelling and Simulation in Materials Science and Engineering
High Entropy Alloys Studies
article

Understanding of mechanical behavior of FeMnCoCr high entropy alloy nanowire with varying mean grain size: an atomistic approach

Xianzhong Tang, Binjun Wang, Hao Yang, Hongti Zhang, Yiyang Chen, Yu Li
article en

Abstract

Abstract Molecular dynamics simulations were employed to investigate the mechanical properties and deformation mechanisms of Fe 50 Mn 30 Co 10 Cr 10 high-entropy alloy (HEA) nanowires (NWs). Seven polycrystalline samples with varying mean grain size (MGS) ranging from 3.98 to 20.97 nm were subjected to simulated tensile testing. Results demonstrate that the sample with the largest MGS (20.97 nm) exhibits a combination of the highest strength and remarkable ductility among the simulated samples. This enhanced strength stems from high dislocation density and the pinning effect of Hirth dislocations. Concurrently, the exceptional ductility is attributed to a reduction in Stair-rod dislocation density, a face centered cubic (fcc) to hexagonal close packed (hcp) phase transition, and the formation of deformation twins. For the sample with the smallest MGS (3.98 nm), high ductility arises from both phase transformation and amorphization. Furthermore, during deformation the surfaces of NWs function analogously to grain boundaries as defect nucleation sites, while additionally serving as preferential nucleation sites for necking during fracture. These findings provide significant insights into the grain size dependence of mechanical properties in HEA NWs and elucidate the underlying deformation mechanisms.

Modelling and Simulation in Materials Science and EngineeringVol. 33(7)
ShanghaiTech University (CN), Shanghai Institute of Technology (CN)
Openalex Percentile: Top 73%
High Entropy Alloys Studies
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.