Localization models for the plastic response of polycrystalline materials using the material knowledge systems framework
Localization models for the plastic response of polycrystalline materials using the material knowledge systems framework
复制标题
使用材料知识系统框架的多晶材料塑性响应的本地化模型
DOI：
10.1088/1361-651x/ab37a5
复制
发表时间：
2019
影响因子：
1.8
通讯作者：
S. Kalidindi
中科院分区：
文献类型：
--
作者：
David Montes de Oca Zapiain;S. Kalidindi
晶体塑性有限元模拟提供了基于物理的预测，在多晶金属受到大的塑性应变的塑性响应。尽管它们在许多应用中表现出高保真度，但由于其极高的计算成本，这些方法尚未被金属加工行业广泛采用。这项工作开发和应用一种新的策略，用于降阶分区的宏观应用的塑性拉伸张量的多晶聚集体的区域内的单个晶粒（即本地化的塑性拉伸张量）。这种新的策略被认为是提供合理的预测，局部塑性拉伸张量显着降低计算成本。这里提出的策略扩展了先前成功的材料知识系统（MKS）框架的本地化的塑性拉伸张量在两个各向同性相的复合材料多晶卷通过使用广义球谐函数作为傅立叶基础上捕获的功能依赖的本地化内核的晶格取向。它表明，这种扩展的MKS框架是能够提供良好的预测的所有组件的二阶局部塑性拉伸张量的任何给定的宏观施加塑性拉伸张量约三至四个数量级的计算成本节省。这项工作有可能打开新的研究途径，计算成本低，完全耦合，多尺度模拟多晶金属塑性变形。
Crystal plasticity finite element simulations provide physics-based predictions of the plastic response in polycrystalline metals subjected to large plastic strains. Despite their demonstrated high fidelity in a number of applications, these approaches have not yet been adopted broadly by the metal working industry because of their extremely high computational cost. This work develops and applies a novel strategy for reduced-order partitioning of the macroscopically applied plastic stretching tensor on a polycrystalline aggregate to regions within individual grains (i.e. localization of the plastic stretching tensor). This new strategy is seen to provide reasonable predictions for the localized plastic stretching tensors at dramatically reduced computational cost. The strategy presented here extends the prior successes of the materials knowledge system (MKS) framework for the localization of the plastic stretching tensor in composites of two isotropic phases to polycrystalline volumes through the use of the generalized spherical harmonics as a Fourier basis for capturing the functional dependence of the localization kernels on the crystal lattice orientation. It is demonstrated that this extension of the MKS framework is capable of providing good predictions for all components of the second-rank local plastic stretching tensor for any given macroscale imposed plastic stretching tensor with about three to four orders of magnitude savings in the computational cost. This work has the potential to open new research avenues for computationally low-cost, fully coupled, multiscale simulations of plastic deformations in polycrystalline metals.