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Time and length scale issues in numerical modelling of dynamic recrystallization based on the multi space cellular automata method

机译:基于多空间元胞自动机方法的动态再结晶数值模拟中的时间和长度尺度问题

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Critical evaluation of influence of time step length and cell size on cellular automata models behavior during microstructure evolution simulations is the subject of the present work. Dynamic Recrystallization was selected as a case study for CA model application. First, general information on CA model assumptions are presented. Then series of advanced modifications including different dislocation generations schemes, multi space concept and scaling of nuclei sizes is presented. As a result, a robust numerical CA model was established and it was used to highlight importance of proper selection of time step length and cellular automata cell size. The work revealed that there is a clear relation between the two investigated factors and they have to be properly defined in order to reach the threshold values where CA model is becoming insensitive to the technical parameters. (C) 2016 Elsevier B.V. All rights reserved.
机译:在微结构演化模拟过程中,时间步长和细胞大小对细胞自动机模型行为的影响的关键评估是本工作的主题。选择动态重结晶作为CA模型应用的案例研究。首先,介绍有关CA模型假设的一般信息。然后提出了一系列先进的修改方法,包括不同的位错产生方案,多空间概念和核尺寸的缩放。结果,建立了鲁棒的数值CA模型,并用于强调正确选择时间步长和细胞自动机细胞大小的重要性。这项工作表明,这两个调查因素之间存在明确的关系,必须正确定义它们,才能达到CA模型对技术参数不敏感的阈值。 (C)2016 Elsevier B.V.保留所有权利。

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