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基于元胞自动机边界条件和空间重组方面的变形过程中微观结构演变建模

Modeling of Microstructure Evolution during Deformation Processes by Cellular Automata-Boundary Conditions and Space Reorganization Aspects.

作者信息

Łach Łukasz

机构信息

Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology, Mickiewicza Av. 30, 30-059 Krakow, Poland.

出版信息

Materials (Basel). 2021 Mar 12;14(6):1377. doi: 10.3390/ma14061377.

Abstract

Cellular automata (CA) are efficient and effective numerical tools for modeling various phenomena and processes, e.g., microstructure evolution in plastic working processes. In many cases, the analysis of phenomena can be carried out only in a limited space and on representative volume. This limitation determines the geometry of CA space hence boundary conditions are very important issues in modeling. The paper discusses different boundary conditions that can be applied to modeling. Taking into account the transformation of the modeling space, the model should allow the selection of boundary conditions. The modeling of certain phenomena and processes is directly related to changes in the geometry of a representative volume and therefore may require changes or reorganization of the modeled CA space. Four reorganization options are presented: halving, cutting and bonding, doubling, and straightening. A choice of boundary conditions may depend on particular space reorganization as used for the modeling of microstructure evolution. A set of decision rules for selecting space reorganization options taking into account the changes of CA shape and sizes is also presented. The modeling of flat and shape rolling processes utilizing some of the described techniques is shown.

摘要

细胞自动机(CA)是用于对各种现象和过程进行建模的高效数值工具,例如塑性加工过程中的微观结构演变。在许多情况下,现象分析只能在有限的空间内和代表性体积上进行。这种限制决定了CA空间的几何形状,因此边界条件是建模中的非常重要的问题。本文讨论了可应用于建模的不同边界条件。考虑到建模空间的变换,模型应允许选择边界条件。某些现象和过程的建模与代表性体积的几何形状变化直接相关,因此可能需要对建模的CA空间进行更改或重组。提出了四种重组选项:减半、切割与拼接、加倍和拉直。边界条件的选择可能取决于用于微观结构演变建模的特定空间重组。还提出了一组考虑CA形状和尺寸变化来选择空间重组选项的决策规则。展示了利用一些所述技术对平板轧制和型材轧制过程进行的建模。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3477/7999442/81a994d72e7c/materials-14-01377-g001.jpg

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