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Potential Function-Based Molecular Dynamics Simulation of Al-Cu-Li Alloys and Comparison with Experiments
Fei Chen1, Han Wang1, Yu Liu2,3
1School of Mechanical Engineering and Automation, College of Science and Technology, Ningbo University, Ningbo 315000, China.
This study reveals how multi-stage creep aging affects aluminum-copper-lithium (Al-Cu-Li) alloys at the atomic level. Low-temperature aging enhances atomic segregation and material performance, crucial for aerospace applications.
Area of Science:
- Materials Science
- Metallurgy
- Computational Materials Science
Background:
- Aluminum-copper-lithium (Al-Cu-Li) alloys are vital in aerospace due to their high specific strength and low weight.
- The three-stage creep aging (CA) process is key for balancing formability and performance in these alloys.
- Understanding atomic-scale microstructural evolution during complex heat treatments is crucial but under-researched.
Purpose of the Study:
- To investigate the microstructural evolution of Al-Cu-Li alloys during multi-stage low-high-low temperature CA.
- To explore the relationship between microstructure and performance at the atomic scale using molecular dynamics (MD) simulations.
- To validate MD simulation reliability through comparison with experimental findings.
Main Methods:
- Multi-stage low-high-low temperature creep aging (CA) experiments.
- Molecular dynamics (MD) simulations utilizing a neuroevolutionary machine learning potential (NEP) function.
- Analysis of atomic segregation, precipitation phase enrichment, and material performance.
Main Results:
- Lithium atom segregation is unstable at high temperatures, diminishing as the second-stage aging temperature increases.
- Low-temperature aging in the third stage promotes atomic segregation and property recovery, albeit with limitations.
- High-temperature aging in the second stage negatively impacts material performance, while third-stage low-temperature aging aids recovery.
- Experimental precipitation phase enrichment correlates with simulation findings on atomic segregation and temperature effects.
Conclusions:
- MD simulations accurately predict microstructural evolution in Al-Cu-Li alloys under complex CA conditions.
- The study provides insights into optimizing CA processes for enhanced Al-Cu-Li alloy performance.
- Findings offer a valuable reference for microstructural design and performance enhancement in aerospace materials.
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