Modeling of experimentally observed topological defects inside bulk polycrystals

IF 1.9 4区材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY

Modelling and Simulation in Materials Science and Engineering Pub Date : 2023-10-13 DOI:10.1088/1361-651x/acff7c

Siddharth Singh, He Liu, Rajat Arora, Robert M Suter, Amit Acharya

引用次数: 0

Abstract

Abstract A rigorous methodology is developed for computing elastic fields generated by experimentally observed defect structures within grains in a polycrystal that has undergone tensile extension. An example application is made using a near-field high energy x-ray diffraction microscope measurement of a zirconium sample that underwent 13.6 % tensile extension from an initially well-annealed state. (Sub)grain boundary features are identified with apparent disclination line defects in them. The elastic fields of these features identified from the experiment are calculated.

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块状多晶内部实验观察到的拓扑缺陷的建模

摘要:本文提出了一种计算弹性场的严密方法，这种弹性场是由实验观察到的多晶晶粒内的拉伸拉伸缺陷结构产生的。应用近场高能x射线衍射显微镜测量了一种锆样品，该样品从最初的良好退火状态经过13.6%的拉伸延伸。(亚)晶界特征被识别出来，其中有明显的偏斜线缺陷。计算了从实验中识别出的这些特征的弹性场。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Modelling and Simulation in Materials Science and Engineering 工程技术-材料科学：综合

CiteScore

3.30

自引率

5.60%

发文量

审稿时长

1.7 months

期刊介绍： Serving the multidisciplinary materials community, the journal aims to publish new research work that advances the understanding and prediction of material behaviour at scales from atomistic to macroscopic through modelling and simulation. Subject coverage: Modelling and/or simulation across materials science that emphasizes fundamental materials issues advancing the understanding and prediction of material behaviour. Interdisciplinary research that tackles challenging and complex materials problems where the governing phenomena may span different scales of materials behaviour, with an emphasis on the development of quantitative approaches to explain and predict experimental observations. Material processing that advances the fundamental materials science and engineering underpinning the connection between processing and properties. Covering all classes of materials, and mechanical, microstructural, electronic, chemical, biological, and optical properties.