论文标题
考虑方向扩散及其时间进化的静态重结晶的平均场模型
A mean-field model of static recrystallization considering orientation spreads and their time-evolution
论文作者
论文摘要
在本文中，我们开发了一种平均场模型，用于模拟静态重结晶过程中晶体材料的微观结构演化。该模型考虑了在代表平均微观结构特性的均匀培养基中生长的单个细胞种群（即晶粒和亚晶粒）。计算生长速率所需的单个细胞和培养基的平均边界特性在统计学上是根据微观结构拓扑的函数和晶体学取向的分布的。再结合晶粒是由细胞之间的竞争增长引起的。在呈现算法后，将模型与使用2D顶点模型进行的重结晶的全场模拟进行了比较。结果表明，平均场模型可以准确预测边界特性随时间的进化，以及包括动力学和晶粒方向在内的几种重结晶参数。结果使人们可以研究角色在确定边界特性，重结晶晶粒和重结晶动力学方面的作用。该模型可以与实验获得的输入一起使用，以研究变形和重结晶微结构之间的关系。
In this paper, we develop a mean-field model for simulating the microstructure evolution of crystalline materials during static recrystallization. The model considers a population of individual cells (i.e. grains and subgrains) growing in a homogeneous medium representing the average microstructure properties. The average boundary properties of the individual cells and of the medium, required to compute growth rates, are estimated statistically as a function of the microstructure topology and of the distribution of crystallographic orientations. Recrystallized grains arise from the competitive growth between cells. After a presentation of the algorithm, the model is compared to full-field simulations of recrystallization performed with a 2D Vertex model. It is shown that the mean-field model predicts accurately the evolution of boundary properties with time, as well as several recrystallization parameters including kinetics and grain orientations. The results allow one to investigate the role the orientation spread on the determination of boundary properties, the formation of recrystallized grains and recrystallization kinetics. The model can be used with experimentally obtained inputs to investigate the relationship between deformation and recrystallization microstructures.
