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Effect of Mg content on Cu precipitation behavior in Al-Cu-Mg ternary alloy by molecular dynamics simulation.

Authors :
Chen, Yufeng
Sun, Yaoning
Cheng, Wangjun
Meng, Acong
Zhang, Shilin
Gu, Jin
Wei, Ning
Source :
Computational Materials Science. Apr2024, Vol. 239, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

[Display omitted] • Mg promotes the atomic diffusion of Al-Cu-Mg alloy. • The addition of Mg causes the alloy to generate more large-size Cu clusters. • The introduction of Mg lead to the formation of more FCC phases. • The enrichment of Cu intensified with the increase of Mg content. • Verified the consistency of simulation and experimental results. To analyze the mechanism of the Mg content on Cu precipitation in Al-Cu-Mg ternary alloy, the microstructure evolution of Al-5%Cu, Al-5%Cu-1%Mg and Al-5%Cu-2%Mg alloys during the solidification process was investigated by both the molecular dynamics simulation and solidification experiment methods. The simulated results demonstrate that the introduction of Mg accelerates atomic diffusion. And as the Mg content increases, more large-sized Cu agglomerates are formed in the solidified tissue, due to the Mg plays a connecting role in the process of Cu agglomerate formation. It is also found that the introduction of Mg results in the development of more FCC phases in the final tissue. The experimental results show that Cu elements are concentrated in the Al crystal boundaries, and the degree of Cu enrichment increases with the level of Mg content. The physical phase analysis shows that the final organization is primarily composed of the Al phase and Al 2 Cu phase, and both phases increase slightly with a higher Mg rate. The consistency between experimental and simulation results was verified by a comparative discussion of the Cu agglomerated and precipitated phases. It provides a theoretical basis for improving Al-Cu-Mg alloys' performance enhancement and structural optimization. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09270256
Volume :
239
Database :
Academic Search Index
Journal :
Computational Materials Science
Publication Type :
Academic Journal
Accession number :
176503063
Full Text :
https://doi.org/10.1016/j.commatsci.2024.112952