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正规溶液合金中的晶界溶质拖拽模型

Grain Boundary Solute Drag Model in Regular Solution Alloys.

作者信息

Alkayyali Malek, Abdeljawad Fadi

机构信息

Department of Mechanical Engineering, Clemson University, Clemson, South Carolina 29634, USA.

Department of Materials Science and Engineering, Clemson University, Clemson, South Carolina 29634, USA.

出版信息

Phys Rev Lett. 2021 Oct 22;127(17):175503. doi: 10.1103/PhysRevLett.127.175503.

DOI:10.1103/PhysRevLett.127.175503
PMID:34739280
Abstract

We present a grain boundary (GB) solute drag model in regular solution alloys. The model accounts for solute-solute interactions in both the bulk and GBs and captures effects such as monolayer, multilayer, and asymmetrical segregation. Our analysis shows that deviations from ideal solution thermodynamics play a paramount role, in which solute drag is shown to scale with solute-solute interaction parameters. Further, it is found that the asymmetry in GB segregation introduces an additional component to solute drag. A universal solute drag-GB velocity relation is proposed and used to explain recent experimental observations of sluggish grain growth in a wide range of engineering alloys.

摘要

我们提出了一种正则溶液合金中的晶界溶质拖拽模型。该模型考虑了体相和晶界中的溶质-溶质相互作用,并捕捉了诸如单层、多层和不对称偏析等效应。我们的分析表明,偏离理想溶液热力学起着至关重要的作用,其中溶质拖拽与溶质-溶质相互作用参数成比例。此外,发现晶界偏析的不对称性给溶质拖拽引入了一个额外的分量。提出了一个通用的溶质拖拽-晶界速度关系,并用于解释最近在多种工程合金中观察到的晶粒生长缓慢的实验现象。

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引用本文的文献

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Triple Junction Segregation Dominates the Stability of Nanocrystalline Alloys.三重结偏析主导纳米晶合金的稳定性。
Nano Lett. 2024 Aug 7;24(31):9627-9634. doi: 10.1021/acs.nanolett.4c02395. Epub 2024 Jul 29.
2
Atomistic and machine learning studies of solute segregation in metastable grain boundaries.亚稳晶界中溶质偏析的原子尺度与机器学习研究
Sci Rep. 2022 Apr 23;12(1):6673. doi: 10.1038/s41598-022-10566-5.