A statistical ensemble cellular automaton microstructure model for primary recrystallization
A statistical ensemble cellular automaton microstructure model for primary recrystallization
复制标题
DOI：
10.1016/j.actamat.2016.01.068
复制
发表时间：
2016-04
期刊：
影响因子：
9.4
通讯作者：
Markus Kühbach;G. Gottstein;L. Barrales-Mora
中科院分区：
文献类型：
--
作者：
Markus Kühbach;G. Gottstein;L. Barrales-Mora
提出了一种用于模拟一次再结晶的新模型。该模型基于元胞自动机方法，但与经典的“代表性体积元”（RVE）方法不同，该方法将微观结构视为众多孤立单元的统计集合。单独而言，它们比 RVE 小得多，并且可以在并行计算机上独立进行模拟。与 RVE 模拟相比，该模型显示出出色的准确性。该模型大大缩短了求解时间，使参数研究变得实用，并且接近工业加工线中的实时再结晶模拟。
A new model for the simulation of primary recrystallization is presented. The model is based on the cellular automaton method but departs from the classical ‘representative volume element’ (RVE) approach by considering a microstructure as a statistical ensemble of numerous solitary units. Individually these are significantly smaller than an RVE and can be simulated independently on a parallel computer. The model showed excellent accuracy compared to RVE simulations. The substantial reduction of the time-to-solution achieved by the model makes parametric studies practical and close to real-time recrystallization simulations in industrial processing lines possible.