Quantitative phase-field modeling of solute trapping in rapid solidification
Quantitative phase-field modeling of solute trapping in rapid solidification
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DOI：
10.1016/j.actamat.2020.116562
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发表时间：
2021-02-15
期刊：
影响因子：
9.4
通讯作者：
Zaeem, Mohsen Asle
中科院分区：
文献类型：
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作者：
Kavousi, Sepideh;Zaeem, Mohsen Asle
开发了定量相场模型，用于预测与增材制造相关的凝固速度的溶质捕获。提出了一种反俘获通量来产生与界面宽度无关的化学势跳跃，并且与尖锐界面连续生长（CG）模型一致。实施高达二阶的薄界面分析，以根据 CG 模型的全溶质阻力极限和零溶质阻力极限的材料特性对相场模型进行定量参数化。作为基准示例，使用 Si-9at.%As (Kittl et al., Acta Materialia, 20 00) 的实验数据来比较该相场模型与 CG 模型预测的分配系数和动力学过冷。我们的结果，特别是在全阻力极限下，与凝固速度直至扩散速度的实验数据和理论模型非常一致。与其他相场模型不同，该模型可以在较宽的凝固速度范围内预测准确的分配系数和动力学过冷，并且结果对扩散界面宽度不太敏感，从而能够在更大的长度尺度上进行定量模拟。通过显示初级树突臂间距也弱依赖于扩散界面宽度，突出了模型在细胞生长预测中的性能。 (C) 2020 Acta Materialia Inc. 由 Elsevier Ltd 出版。保留所有权利。
A quantitative phase-field model is developed for prediction of solute trapping for solidification velocities relevant to the additive manufacturing. An anti-trapping flux is proposed to generate a chemical potential jump independent of the interface width and consistent with the sharp interface continuous growth (CG) model. The thin-interface analysis up to the second order is implemented to quantitatively parametrize the phase-field model based on the material properties for both full and zero solute drag limits of the CG model. As a benchmark example, the experimental data on Si-9at.%As (Kittl et al., Acta Materialia, 20 00) is used to compare the partition coefficient and kinetic undercooling predicted by this phase-field model with those of the CG model. Our results, especially with the full-drag limit, present a very good agreement with the experimental data and theoretical models for solidification velocities up to the diffusive velocity. Unlike other phase-field models, this proposed model predicts accurate partition coefficient and kinetic undercooling for a wide range of solidification velocities, and the results are less sensitive to the diffusive interface width, enabling quantitative simulations in larger length scales. The model performance in prediction of the cellular growth is highlighted by showing that the primary dendritic arm spacing is also weakly dependent on the diffusive interface width. (C) 2020 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.