Composition-dependent diffusion and viscosity behavior in liquid Ti–Al–Ni ternary alloys
We conducted ab initio molecular dynamics simulations to investigate the dynamic properties of the liquid Ti-Al-Ni ternary alloy system at 2033 K. Through simulations across the entire composition range, we revealed the complex compositional dependence of self-diffusion coefficients and viscosity. The self-diffusion coefficients of Ti, Al, and Ni exhibit nonlinear distribution characteristics, while viscosity shows non-monotonic compositional dependence, with lower viscosity in Al-rich regions and higher viscosity in Ni-rich regions. To understand the structural origins of these behaviors, we analyzed chemical short-range order and local fivefold symmetry structures using Warren-Cowley parameters and fivefold symmetry parameters, uncovering a close correlation between atomic-scale structural features and dynamic properties. Evaluation of the Stokes-Einstein relation revealed varying degrees of deviation from its predicted viscosity values across composition regions. We observed a negative correlation between free volume fraction and viscosity, with varying strengths in different regions. These findings provide new perspectives for understanding the complex dynamic properties of Ti-Al-Ni liquid alloys.
Authors
- Jingyu Qin (ORCID: https://orcid.org/0000-0002-9249-3134)
- Jiayin Li
- Xinxin Li (ORCID: https://orcid.org/0000-0001-8129-9259)
- Jin Wang (ORCID: https://orcid.org/0000-0001-6143-6391)
Institutions
- Qilu University of Technology (CN)
- Shandong University (CN)
- Liaocheng University (CN)
- Changji University (CN)
- Key Laboratory for High Strength Lightweight Metallic Materials of Shandong Province (CN)
- Shandong Academy of Sciences (CN)
Publication Details
- Journal
- Journal of Materials Research and Technology
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1016/j.jmrt.2024.10.086
- Citations
- 6
- Primary Topic
- Metallic Glasses and Amorphous Alloys
- Type
- article
- Field-Weighted Citation Impact
- 1.28
Funders
- National Natural Science Foundation of China
- Key Technology Research and Development Program of Shandong