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arXiv 1608.07615cond-mat.mtrl-sci
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纳米晶铝晶粒生长过程中晶粒分辨动力学和旋转的分子动力学研究

Grain-resolved kinetics and rotation during grain growth of nanocrystalline Aluminium by molecular dynamics

Paul W. Hoffrogge, Luis A. Barrales-Mora

摘要:

采用分子动力学模拟方法研究了纳米晶Al的晶粒生长过程。这项研究的新颖性是由于利用了一种算法来解决分子动力学数据集的每颗粒动力学和取向变化。为此,开发了一种从FCC材料的分子动力学数据集识别和重构微晶的高效算法。该方法能够计算晶粒的特定属性,即体积、质心、平均取向和取向扩展。此外,它提供了一个映射方法来跟踪晶粒在时间行数据集。在目前的贡献,我们描述和验证的算法,然后用于分析晶粒生长的多晶铝与弱织构。对于测试的条件,该算法能够找到所有的输入方向,并根据它们的晶体取向重建晶粒。借助所开发的算法,我们研究了晶粒生长动力学和晶粒旋转。模拟的结果表明,特别是在晶粒生长和晶粒边缘旋转的初始阶段,动力学略有减慢。

英文摘要:

Grain growth in nanocrystalline Al was studied by means of molecular dynamics simulations. The novelty of this study results from the utilization of an algorithm to resolve per-grain kinetics and orientation change from molecular dynamics data sets. To this aim, a highly efficient algorithm for the identification and reconstruction of crystallites from molecular dynamics data sets of FCC materials was developed. This method is capable of calculating specific attributes of grains, namely, volume, center of mass, average orientation and orientation spread. In addition, it provides a mapping method to track grains during time-row data sets. In the present contribution, we describe and validate the algorithm, which is then used to analyze grain growth in polycrystalline Al with a weak texture. For the conditions tested, the algorithm was able to find all of the input orientations and reconstruct the grains according to their crystallographic orientation. With the help of the developed algorithms, we studied grain growth kinetics and grain rotation. The results of the simulations showed slightly slowed-down kinetics in particular in the initial stages of grain growth and marginal rotation of the grains.

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