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Computation of elastic moduli of nanocrystalline materials using Voronoi models of representative volume elements

机译:使用代表体积元素的Voronoi模型计算纳米晶体材料的弹性模量

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In the present work, a numerical model is developed to predict the Young’s modulus and shear modulus of nanocrystalline materials using a Finite Element Analysis. The model is based on Representative Volume Elements (RVE) in which the microstructure of the material is described using the Voronoi tessellation algorithm. The use of the Voronoi particles was based on the observation of the morphology of nanocrystalline materials by Scanning Electron and Transmission Electron Microscopy. In each RVE, three-dimensional modelling of the grain and grain boundaries as randomly-shaped sub-volumes is performed. The developed model has been applied to pure nanocrystallline copper at grain volume fractions of 80%, 90% and 95% taking also into account the parameters of grain size and grain boundary thickness. The elastic moduli of nanocrystalline copper have been computed by loading the RVE in tension. The numerical results reveal that the elastic moduli of nanocrystalline copper increase with increasing the grain volume fraction. On the other hand, for a given grain volume fraction, the results showed no effect of the grain size. The model predictions have been validated successfully against numerical results from the literature and predictions of the Rule of Mixtures and the Mori-Tanaka analytical model.
机译:在目前的工作中,使用有限元分析开发了一个数值模型来预测纳米晶体材料的杨氏模量和剪切模量。该模型基于代表性体积元素(RVE),其中使用Voronoi细分算法描述了材料的微观结构。 Voronoi颗粒的使用基于通过扫描电子显微镜和透射电子显微镜观察纳米晶体材料的形态。在每个RVE中,都将晶粒和晶粒边界作为随机形状的子体积进行三维建模。考虑到晶粒尺寸和晶界厚度的参数,已开发的模型已应用于晶粒体积分数分别为80%,90%和95%的纯纳米晶铜。纳米晶体铜的弹性模量是通过加载RVE的张力来计算的。数值结果表明,纳米晶铜的弹性模量随晶粒体积分数的增加而增加。另一方面,对于给定的晶粒体积分数,结果表明晶粒尺寸没有影响。模型预测已针对文献中的数值结果以及混合法则和Mori-Tanaka分析模型的预测进行了成功验证。

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