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arXiv 2102.11015cond-mat.mtrl-sci
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基于矢量序参量的多晶凝固相场高效定量模拟

Efficient and quantitative phase field simulations of polycrystalline solidification using a vector order parameter

Tatu Pinomaa, Nana Ofori-Opoku, Anssi Laukkanen, Nikolas Provatas

摘要:

提出了一种基于巨势泛函的矢量序参量相场模型,作为模拟合金多晶凝固的新方法。在这种方法中,巨势密度被设计为包含一组离散的有限阱,这是一种自然允许使用单个矢量场的多个晶粒的生长和受控相互作用的特征。我们验证了二元合金中的枝晶凝固在薄界面极限下遵循既定的定量行为。此外,它表明,晶界能和溶质反扩散定量与早期的理论工作是一致的,通过一个简单的固-固相互作用参数控制晶界能。此外,当考虑多晶聚集体和它们的粗化,我们表明,动力学遵循预期的抛物线生长规律。最后,我们展示了如何这个新的矢量序参量模型可以用来描述成核多晶系统通过热波动的矢量序参量,一个功能,迄今为止缺乏多相或多序参量为基础的相场模型。所提出的矢量序参量模型为多晶材料的模拟提供了一种实用而有效的计算工具。我们还讨论了扩展的序参量,以更高的维度作为一个简单的方法来模拟多个固相。

英文摘要:

A vector order parameter phase field model derived from a grand potential functional is presented as a new approach for modeling polycrystalline solidification of alloys. In this approach, the grand potential density is designed to contain a discrete set of finite wells, a feature that naturally allows for the growth and controlled interaction of multiple grains using a single vector field. We verify that dendritic solidification in binary alloys follows the well-established quantitative behavior in the thin interface limit. In addition, it is shown that grain boundary energy and solute back-diffusion are quantitatively consistent with earlier theoretical work, with grain boundary energy being controlled through a simple solid-solid interaction parameter. Moreover, when considering polycrystalline aggregates and their coarsening, we show that the kinetics follow the expected parabolic growth law. Finally, we demonstrate how this new vector order parameter model can be used to describe nucleation in polycrystalline systems via thermal fluctuations of the vector order parameter, a feature which has been thus far lacking from multi-phase or multi-order parameter based phase field models. The presented vector order parameter model serves as a practical and efficient computational tool for simulating polycrystalline materials. We also discuss the extension of the order parameter to higher dimensions as a simple method for modeling multiple solid phases.

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