Influence of grain boundary energy anisotropy on the evolution of grain boundary network structure during 3D anisotropic grain growth
Influence of grain boundary energy anisotropy on the evolution of grain boundary network structure during 3D anisotropic grain growth
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DOI：
10.1016/j.commatsci.2022.111879
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发表时间：
2023-01
影响因子：
3.3
通讯作者：
José D. Niño;Oliver K. Johnson
中科院分区：
文献类型：
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作者：
José D. Niño;Oliver K. Johnson
在本文中，我们展示了使用现有水平集方法进行三维晶粒生长模拟的结果。大多数先前的晶粒生长研究要么是各向同性的，要么如果不是各向同性的，则考虑各向异性的简化模型。我们使用三种不同的晶界 (GB) 能量函数（真实的 5D GB 能量函数、仅取决于取向角的 Read-Shockley 能量模型和各向同性 GB 能量模型）来执行这些模拟。我们根据几种统计微观结构描述符（晶体结构、GB 字符分布、三联结分布 (TJD) 等）对结果进行比较。除了考虑不同的能量模型之外，我们还比较了具有不同初始晶体织构（纤维织构和随机织构）的微观结构的演化。我们发现，根据所采用的 GB 能量函数，单个颗粒的形态演化可能完全不同。然而，我们还发现，对于所有测试的 GB 能量函数，某些空间独立的微观结构统计数据（例如取向分布函数、取向差分布函数和 TJD）在稳态下是相似的。
In this paper, we present the results of grain growth simulations in three-dimensions using an existing level set method. Most of the previous grain growth studies have been either isotropic or, if they are not isotropic, consider simplified models of anisotropy. We perform these simulations using three different grain boundary (GB) energy functions (a realistic 5D GB energy function, a Read–Shockley energy model that depends only on disorientation angle, and an isotropic GB energy model). We compare the results in terms of several statistical microstructural descriptors (crystallographic texture, GB character distribution, triple junction distribution (TJD), etc.). In addition to considering different energy models, we also compare the evolution of microstructures that have different initial crystallographic textures (fiber texture and random texture). We find that the morphological evolution of individual grains can be completely different depending on the GB energy function employed. However, we also find that certain spatially independent microstructural statistics (e.g. orientation distribution function, misorientation distribution function, and TJD) are similar at steady state for all of the tested GB energy functions.