Atomic-scale simulations of the interfacial mechanical properties of Al/AlCu intermetallic compounds

The dynamic evolution and the mechanical properties of Al-Cu interfacial microstructures hold considerable scientific and technological significance. This study explores the mechanical behavior of Al/AlCu intermetallic compound (IMC) layered composites using the NEP machine learning molecular dynamics simulation method, with a focus on the bond strength between the Al matrix and various AlCu alloy interfaces. The Al/Al<sub>2</sub>Cu/Al and Al/Al<sub>4</sub>Cu<sub>9</sub>/Al composite systems exhibit significantly enhanced bond strength, resulting in an overall improvement in their mechanical properties. The ordered atomic arrangement of Al-Cu at the interface effectively regulates stress distribution. Notably, the strength of θ'-Al<sub>2</sub>Cu is found to increase by approximately 30% compared to the pure polycrystalline Al system. In contrast, the Al<sub>3</sub>Cu IMC interface results in reduced bond strength between the Al matrix and the interface due to its poor structural stability, leading to a larger damage region at the grain boundary-Al<sub>3</sub>Cu interface. Under high-strain-rate conditions, the Al<sub>2</sub>Cu IMC interface is compressed by the polycrystalline Al along the <i>z</i>-direction, leading to greater distortion at the interface.

Authors

Institutions

Publication Details

Journal
Physical Chemistry Chemical Physics
Published
2025-01-01
DOI
https://doi.org/10.1039/d5cp02415c
Primary Topic
Aluminum Alloys Composites Properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Atomic-scale simulations of the interfacial mechanical properties of Al/AlCu intermetallic compounds

Zhi-Qiang Hu, Yong-Chao Wu, Feng-ning Xue, Jian-Li Shao et al.
Physical Chemistry Chemical Physics
Aluminum Alloys Composites Properties
article

Atomic-scale simulations of the interfacial mechanical properties of Al/AlCu intermetallic compounds

Zhi-Qiang Hu, Yong-Chao Wu, Feng-ning Xue, Jian-Li Shao, Pei Wang, Weidong Wu
article en

Abstract

The dynamic evolution and the mechanical properties of Al-Cu interfacial microstructures hold considerable scientific and technological significance. This study explores the mechanical behavior of Al/AlCu intermetallic compound (IMC) layered composites using the NEP machine learning molecular dynamics simulation method, with a focus on the bond strength between the Al matrix and various AlCu alloy interfaces. The Al/Al<sub>2</sub>Cu/Al and Al/Al<sub>4</sub>Cu<sub>9</sub>/Al composite systems exhibit significantly enhanced bond strength, resulting in an overall improvement in their mechanical properties. The ordered atomic arrangement of Al-Cu at the interface effectively regulates stress distribution. Notably, the strength of θ'-Al<sub>2</sub>Cu is found to increase by approximately 30% compared to the pure polycrystalline Al system. In contrast, the Al<sub>3</sub>Cu IMC interface results in reduced bond strength between the Al matrix and the interface due to its poor structural stability, leading to a larger damage region at the grain boundary-Al<sub>3</sub>Cu interface. Under high-strain-rate conditions, the Al<sub>2</sub>Cu IMC interface is compressed by the polycrystalline Al along the <i>z</i>-direction, leading to greater distortion at the interface.

Physical Chemistry Chemical PhysicsVol. 27(38)
Beijing Institute of Technology (CN), Peking University (CN), Nuclear and Radiation Safety Center (CN), Institute of Applied Physics and Computational Mathematics (CN)
Openalex Percentile: Top 74%
Aluminum Alloys Composites Properties
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.