Phase-Field Modeling of Stored-Energy-Driven Grain Growth with Intra-Granular Variation in Dislocation Density

Guanglong Huang, Alexander Mensah, Marcel Chlupsa, Zachary Croft, Liang Qi, Ashwin J. Shahani, Katsuyo Thornton
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Abstract

We present a phase-field model to simulate the microstructure evolution occurring in polycrystalline materials with a variation in the intra-granular dislocation density. The model accounts for two mechanisms that lead to the grain boundary migration: the driving force due to capillarity and that due to the stored energy arising from a spatially varying dislocation density. In addition to the order parameters that distinguish regions occupied by different grains, we introduce dislocation density fields that describe spatial variation of the dislocation density. We assume that the dislocation density decays as a function of the distance the grain boundary has migrated. To demonstrate and parameterize the model, we simulate microstructure evolution in two dimensions, for which the initial microstructure is based on real-time experimental data. Additionally, we applied the model to study the effect of a cyclic heat treatment on the microstructure evolution. Specifically, we simulated stored-energy-driven grain growth during three thermal cycles, as well as grain growth without stored energy that serves as a baseline for comparison. We showed that the microstructure evolution proceeded much faster when the stored energy was considered. A non-self-similar evolution was observed in this case, while a nearly self-similar evolution was found when the microstructure evolution is driven solely by capillarity. These results suggest a possible mechanism for the initiation of abnormal grain growth during cyclic heat treatment. Finally, we demonstrate an integrated experimental-computational workflow that utilizes the experimental measurements to inform the phase-field model and its parameterization, which provides a foundation for the development of future simulation tools capable of quantitative prediction of microstructure evolution during non-isothermal heat treatment.
储能驱动晶粒生长与晶粒内位错密度变化的相场模型
我们提出了一种相场模型,用于模拟多晶材料在晶内位错密度变化时发生的微观结构演变。该模型考虑了导致晶界迁移的两种机制:毛细管作用产生的驱动力和空间位错密度变化产生的储能。除了区分不同晶粒所占区域的阶次参数外,我们还引入了描述差排密度空间变化的差排密度场。我们假设差排密度的衰减是晶粒边界迁移距离的函数。为了演示该模型并使其参数化,我们模拟了二维微观结构的演变,其初始微观结构基于实时实验数据。此外,我们还应用该模型研究了循环热处理对微观结构演变的影响。具体来说,我们模拟了三次热循环过程中储能驱动的晶粒生长,以及作为比较基线的无储能晶粒生长。结果表明,在考虑储能的情况下,微观结构的演变速度更快。在这种情况下观察到的是非自相似演化,而当微结构演化仅由毛细管驱动时,则发现了近乎自相似的演化。这些结果表明了循环热处理过程中异常晶粒生长的可能机制。最后,我们展示了实验-计算综合工作流程,该流程利用实验测量结果为相场模型及其参数化提供信息,为未来开发能够定量预测非等温热处理过程中微观结构演变的模拟工具奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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