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On 2D interface networks that are translation-invariant under curvature-driven migration

机译:在曲率驱动的迁移下的2D接口网络上是在曲率驱动的不变网络中

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摘要

The issue of constructing interface networks translating under curvature-driven migration is addressed. The translating networks are the main accessory for testing capillarity driven migration mode in grain growth simulations. They also arise in experimental studies of boundary mobility and junction drag. The networks are constructed of pieces of simple translating curves-lines and grim reapers (GRs)-meeting at triple junctions. The primary method of building the networks relies on a certain property of GRs which reduces the construction to simple algebraic operations. At the outset, networks of interfaces having different tensions are considered. More detailed discussion concerns a restricted model in which the migration speed does not depend on the tensions. In this second case, the networks have noteworthy properties: some cell dimensions are directly related to angles at triple junctions, there are simple expressions for area sweeping rates, and there is a convenient and elegant alternative way of constructing these particular networks.
机译:解决了在曲率驱动的迁移下进行平移的接口网络的问题。平移网络是用于测试晶粒生长模拟中毛细血管性驱动迁移模式的主要附件。它们还会出现在边界流动性和结障的实验研究中。网络由简单的翻译曲线线和严峻的收割机(GRS)构成 - 在三角点处进行严峻的收割机(GRS)。建立网络的主要方法依赖于GRS的某个特性,这将构造降低到简单的代数操作。首先,考虑具有不同紧张局势的接口网络。更详细的讨论涉及限制模型,其中迁移速度不依赖于紧张局势。在第二种情况下,网络具有值得注意的特性:一些小区尺寸与三角点的角度直接相关,对于区域扫描速率存在简单的表达式,并且存在构建这些特定网络的方便和优雅的替代方法。

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