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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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Publication details

The article was received on 18 Sep 2015, accepted on 28 Oct 2015 and first published on 04 Nov 2015


Article type: Communication
DOI: 10.1039/C5NR06436H
Citation: Nanoscale, 2015,7, 19426-19431
  • Open access: Creative Commons BY license
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    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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