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Issue 46, 2015
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Aligned carbon nanotube array stiffness from stochastic three-dimensional morphology

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Abstract

The landmark theoretical properties of low dimensional materials have driven more than a decade of research on carbon nanotubes (CNTs) and related nanostructures. While studies on isolated CNTs report behavior that aligns closely with theoretical predictions, studies on cm-scale aligned CNT arrays (>1010 CNTs) oftentimes report properties that are orders of magnitude below those predicted by theory. Using simulated arrays comprised of up to 105 CNTs with realistic stochastic morphologies, we show that the CNT waviness, quantified via the waviness ratio (w), is responsible for more than three orders of magnitude reduction in the effective CNT stiffness. Also, by including information on the volume fraction scaling of the CNT waviness, the simulation shows that the observed non-linear enhancement of the array stiffness as a function of the CNT close packing originates from the shear and torsion deformation mechanisms that are governed by the low shear modulus (∼1 GPa) of the CNTs.

Graphical abstract: Aligned carbon nanotube array stiffness from stochastic three-dimensional morphology

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Supplementary files

Article information


Submitted
18 Sep 2015
Accepted
28 Oct 2015
First published
04 Nov 2015

This article is Open Access

Nanoscale, 2015,7, 19426-19431
Article type
Communication
Author version available

Aligned carbon nanotube array stiffness from stochastic three-dimensional morphology

I. Y. Stein, D. J. Lewis and B. L. Wardle, Nanoscale, 2015, 7, 19426
DOI: 10.1039/C5NR06436H

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