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纳米结构纱线和增强复合材料的强度的尺度和扭曲效应。

Scale and twist effects on the strength of nanostructured yarns and reinforced composites.

机构信息

Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.

出版信息

Nanotechnology. 2009 Dec 2;20(48):485702. doi: 10.1088/0957-4484/20/48/485702. Epub 2009 Oct 30.

Abstract

In this work we investigate the effects of yarn diameter and gauge length on the statistical strength of yarns spun from carbon nanotubes (CNTs). Tensile tests are conducted on a large sample set of nanostructured CNT yarns. The data show that strength varies substantially and both strength and statistical dispersion in strength decreases as yarn diameter increases. To explain these phenomena and forecast their effects on larger-scale structures, a hierarchical set of Monte Carlo simulation models is developed: the lower-scale model aims to predict the relationship between yarn nanostructure and tensile strength and the higher-scale model aims to relate the strength of CNT yarns to the strength of composites reinforced with unidirectionally aligned CNT yarns. Predictions indicate that, for both structures, the mean and statistical variation in strength will decrease as the surface twist angle, number of CNTs in cross section and gauge length of the yarn increases. The predicted reductions in variability due to yarn nanostructure will be important for determining ways to minimize the detrimental effects of increasing length scale on strength.

摘要

在这项工作中,我们研究了纱线直径和测试长度对由碳纳米管(CNT)纺制的纱线统计强度的影响。对大量纳米结构 CNT 纱线的样本进行了拉伸测试。数据表明,强度变化很大,随着纱线直径的增加,强度和强度的统计分散度都降低。为了解释这些现象并预测它们对更大规模结构的影响,开发了一组分层的蒙特卡罗模拟模型:较低的尺度模型旨在预测纱线纳米结构与拉伸强度之间的关系,而较高的尺度模型旨在将 CNT 纱线的强度与用单向排列的 CNT 纱线增强的复合材料的强度联系起来。预测表明,对于这两种结构,随着表面扭转角、横截面上 CNT 的数量和纱线的测试长度的增加,强度的平均值和统计变化都会减小。由于纱线纳米结构而导致的可变性降低对于确定如何最小化长度尺度增加对强度的不利影响将非常重要。

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