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The Effect of Grain Size Distribution on the Mechanical Properties ofNanometals

机译:粒度分布对纳米金属力学性能的影响

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Predicting the properties of a material from knowledge of the internal microstructures is attracting significant interest in the fields of materials design and engineering. The most commonly used expression, known as Hall-Petch Relationship (HPR), reports on the relationship between the flow stress and the average grain size. However, there is much evidence that other statistical information that the grain size distribution in materials may have significant impact on the mechanical properties. These could even be more pronounced in the case of grains of the nanometer size, where the HPR is no longer valid and the Reverse-HPR is more applicable. This paper proposes a statistical model for the relationship between flow stress and grain size distribution. The model considered different deformation mechanisms and was used to predict mechanical properties of aluminium and copper. The results obtained with the model shows that the dispersion of grain size distribution plays an important role in the design of desirable mechanical properties. In particular, it was found that that the dependence of a material's mechanical properties on grain size dispersion also follows the HPR to Inverse-HPR type of behaviour. The results also show that copper is more sensitive to changes in grain size distribution than aluminium.
机译:从内部微观结构的知识预测材料的性能引起了材料设计和工程领域的极大兴趣。最常用的表达式,称为霍尔—Petch关系(HPR),报告流变应力与平均晶粒尺寸之间的关系。但是,有很多证据表明,其他统计信息表明材料中的晶粒尺寸分布可能会对机械性能产生重大影响。在纳米尺寸的晶粒中,甚至HPR不再有效且Reverse-HPR更适用时,这些甚至会更加明显。本文提出了流动应力与晶粒尺寸分布之间关系的统计模型。该模型考虑了不同的变形机制,并用于预测铝和铜的机械性能。用该模型获得的结果表明,晶粒尺寸分布的分散在所需机械性能的设计中起着重要作用。尤其是,发现材料的机械性能对粒度分布的依赖性也遵循HPR到Inverse-HPR类型的行为。结果还表明,铜比铝对晶粒尺寸分布的变化更敏感。

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