PRISMS-Indentation: 多尺度弹塑性虚拟压痕模块

IF 2.4 3区 材料科学 Q3 ENGINEERING, MANUFACTURING
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引用次数: 0

摘要

摘要 压痕测试作为一种方便且相对廉价的实验,在许多材料设计过程中发挥了重要作用。然而,从压痕测试中提取数据需要复杂的后处理或集成模拟和实验框架。因此,压痕模拟已成为压痕测试的后处理程序。为压痕模拟提供一个高效、可扩展计算的开源平台,为材料设计过程提供了宝贵的工具。这里介绍的开源 PRISMS-Indentation 模块是一个多尺度弹塑性虚拟压痕框架。该模块是 PRISMS 塑性软件的一部分,涵盖了宏观塑性和晶体塑性的长度尺度。接触问题采用原始二元有源集方法处理。首先,使用各向同性弹性模型对该框架与赫兹接触理论的分析解进行了测试。然后在退火铜微结构的压痕模拟中研究了该框架的稳健性。使用带有六面体元素和可变网格密度的非结构网格来展示加快压痕模拟速度的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PRISMS-Indentation: Multi-scale Elasto-Plastic Virtual Indentation Module

Abstract

Indentation testing has played a major role for many materials design processes as a convenient and relatively cheap experiment. However, extracting the data from indentation tests requires complex post-processing or an integrated simulation and experiment framework. Accordingly, the simulation of indentation has become a post-processing routine for indentation tests. Providing a highly efficient, computationally scalable, and open-source platform for indentation simulation provides invaluable machinery for materials design process. An open-source PRISMS-Indentation module is presented here as a multi-scale elasto-plastic virtual indentation framework. The module is implemented as a part of PRISMS-Plasticity software which covers length scales of macroscopic plasticity and crystal plasticity. The contact problem is handled using a primal–dual active set method. The framework is first tested against analytical solution of Hertzian theory for contact using an isotropic elasticity model. The robustness of the framework is then investigated in simulations of indentation of annealed Cu microstructures. Unstructured meshes with hexahedral elements and variable mesh density are used to demonstrate potential for speedup in indentation simulations.

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来源期刊
Integrating Materials and Manufacturing Innovation
Integrating Materials and Manufacturing Innovation Engineering-Industrial and Manufacturing Engineering
CiteScore
5.30
自引率
9.10%
发文量
42
审稿时长
39 days
期刊介绍: The journal will publish: Research that supports building a model-based definition of materials and processes that is compatible with model-based engineering design processes and multidisciplinary design optimization; Descriptions of novel experimental or computational tools or data analysis techniques, and their application, that are to be used for ICME; Best practices in verification and validation of computational tools, sensitivity analysis, uncertainty quantification, and data management, as well as standards and protocols for software integration and exchange of data; In-depth descriptions of data, databases, and database tools; Detailed case studies on efforts, and their impact, that integrate experiment and computation to solve an enduring engineering problem in materials and manufacturing.
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