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      Synergistic toughening of composite fibres by self-alignment of reduced graphene oxide and carbon nanotubes

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          Abstract

          The extraordinary properties of graphene and carbon nanotubes motivate the development of methods for their use in producing continuous, strong, tough fibres. Previous work has shown that the toughness of the carbon nanotube-reinforced polymer fibres exceeds that of previously known materials. Here we show that further increased toughness results from combining carbon nanotubes and reduced graphene oxide flakes in solution-spun polymer fibres. The gravimetric toughness approaches 1,000 J g −1, far exceeding spider dragline silk (165 J g −1) and Kevlar (78 J g −1). This toughness enhancement is consistent with the observed formation of an interconnected network of partially aligned reduced graphene oxide flakes and carbon nanotubes during solution spinning, which act to deflect cracks and allow energy-consuming polymer deformation. Toughness is sensitive to the volume ratio of the reduced graphene oxide flakes to the carbon nanotubes in the spinning solution and the degree of graphene oxidation. The hybrid fibres were sewable and weavable, and could be shaped into high-modulus helical springs.

          Abstract

          Composite fibres made of polymers reinforced by carbon nanotubes are known for their exceptional toughness. Shin et al. make these composites even tougher, by self-aligning carbon nanotubes and reduced graphene oxide flakes within the polymer matrix.

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          Macroscopic fibers and ribbons of oriented carbon nanotubes.

          A simple method was used to assemble single-walled carbon nanotubes into indefinitely long ribbons and fibers. The processing consists of dispersing the nanotubes in surfactant solutions, recondensing the nanotubes in the flow of a polymer solution to form a nanotube mesh, and then collating this mesh to a nanotube fiber. Flow-induced alignment may lead to a preferential orientation of the nanotubes in the mesh that has the form of a ribbon. Unlike classical carbon fibers, the nanotube fibers can be strongly bent without breaking. Their obtained elastic modulus is 10 times higher than the modulus of high-quality bucky paper.
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            Dispersing carbon nanotubes with graphene oxide in water and synergistic effects between graphene derivatives.

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              Three-dimensional mapping of dislocation avalanches: clustering and space/time coupling.

              There is growing evidence for the complex, intermittent, and heterogeneous character of plastic flow. Here we report a three-dimensional mapping of dislocation avalanches during creep deformation of an ice crystal, from a multiple-transducers acoustic emission analysis. Correlation analysis shows that dislocation avalanches are spatially clustered according to a fractal pattern and that the closer in time two avalanches are, the larger the probability is that they will be closer in space. Such a space/time coupling may contribute to the self-organization of the avalanches into a clustered pattern.
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                Author and article information

                Journal
                Nat Commun
                Nature Communications
                Nature Pub. Group
                2041-1723
                31 January 2012
                : 3
                : 650
                Affiliations
                [1 ]simpleCenter for Bio-Artificial Muscle and Department of Biomedical Engineering, Hanyang University , Seoul 133-791, Korea.
                [2 ]simpleARC Centre of Excellence for Electromaterials Science, Intelligent Polymer Research Institute, University of Wollongong , Wollongong, New South Wales 2522, Australia.
                [3 ]simpleThe Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas , Richardson, Texas 75083, USA.
                Author notes
                Article
                ncomms1661
                10.1038/ncomms1661
                3272576
                22337128
                2dc231d8-3785-49df-84b6-eb273d37f3b0
                Copyright © 2011, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.

                This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/

                History
                : 08 July 2011
                : 23 December 2011
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