Detection of dislocation motion in atomistic simulations of nanocrystalline materials

IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Modelling and Simulation in Materials Science and Engineering Pub Date : 2024-04-25 DOI:10.1088/1361-651x/ad437c
Noya Dimanstein Firman, E. Engelberg, Y. Ashkenazy
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Abstract

A method for identifying dislocation motion in atomistic simulations is presented. While identifying static and moving dislocations within a single crystal or a combination of such is well established, the method described here is tailored to identify dislocation motion by correlating the displacements of individual atoms. This facilitates the identification of dislocation motion in complex structural arrangements, and allows the specific contribution to plastic deformation, due to dislocation motion, to be separated from that of other mechanisms. The method is applied to test cases in crystals and grain boundaries, in which irradiation-induced creep was induced. It is shown that the method singles out the moving dislocations from among the dislocation forest at grain boundaries, thus identifying the specific reactions driving the distortion at any given time. This enables the study of dislocation processes in the presence of realistic obstacles, and the study of the effects of microstructure on dislocation mobility. As an example of such a study, the method is applied to rule out intragranular slip, and to estimate the contribution of dislocation motion to strain, in a NC undergoing irradiation-induced creep.
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纳米晶体材料原子模拟中的位错运动检测
本文介绍了一种在原子模拟中识别位错运动的方法。虽然识别单晶体或晶体组合中的静态和移动位错的方法已经成熟,但本文介绍的方法是通过关联单个原子的位移来识别位错运动的。这有助于识别复杂结构排列中的位错运动,并将位错运动对塑性变形的具体影响与其他机制区分开来。该方法应用于晶体和晶界的测试案例,其中辐照诱发了蠕变。结果表明,该方法能从晶界位错林中挑出移动位错,从而确定在任何给定时间内驱动变形的特定反应。这样就能在存在实际障碍物的情况下研究位错过程,并研究微观结构对位错移动性的影响。作为此类研究的一个实例,该方法被用于排除晶内滑移,并估算在辐照诱导蠕变的数控机床中位错运动对应变的贡献。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
96
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.
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