2016
DOI: 10.1016/j.compositesa.2016.08.029
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Hybrid network structure and thermal conductive properties in poly(vinylidene fluoride) composites based on carbon nanotubes and graphene nanoplatelets

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Cited by 140 publications
(83 citation statements)
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“…The static electricity accumulation of the coated samples were significantly lower than that of the raw material, mainly because the CL-20 crystal was bound by the binder and coating materials to a larger particles, reducing the friction during the contact area, thus reducing the friction accumulated charge [ 23 , 24 ]. What's more, the electrostatic accumulation of CL-20 coated with rGO and CNT’s mixture is mainly affected by the CNT [ 25 ].
Fig.
…”
Section: Resultsmentioning
confidence: 99%
“…The static electricity accumulation of the coated samples were significantly lower than that of the raw material, mainly because the CL-20 crystal was bound by the binder and coating materials to a larger particles, reducing the friction during the contact area, thus reducing the friction accumulated charge [ 23 , 24 ]. What's more, the electrostatic accumulation of CL-20 coated with rGO and CNT’s mixture is mainly affected by the CNT [ 25 ].
Fig.
…”
Section: Resultsmentioning
confidence: 99%
“…Benefiting from their ultrahigh aspect ratio (length over diameter) and thermal conductivity, CNTs have been popularly adopted to form synergistic networks with other fillers, in which the synergistic networks are normally generated through melting and mixing binary or more type of fillers directly with the polymer. The synergistic effect ( f ) can be quantified as f =κABκnormalp(κnormalAκnormalp)+(κnormalBκnormalp), where κ A and κ B are the thermal conductivity of the polymer composite with fillers A and B, respectively; κ p and κ AB are the thermal conductivity of the pristine polymer and the composite with the AB synergistic network, respectively. The effective synergistic network is formed when f is larger than 1, and greater f suggests stronger synergistic effect.…”
Section: Polymer Composites With Nanostructured Fillers For High Thermentioning
confidence: 99%
“…The effective synergistic network is formed when f is larger than 1, and greater f suggests stronger synergistic effect. 2D nanomaterials, such as BN nanosheet (BNNS) and graphene (nanosheet or nanoplatelets), have been commonly used to form the synergistic networks with CNT . For BNNS, its electrical insulation characteristic can interrupt the electrically conductive network of CNTs in the polymer composites, and retain the electrical insulation characteristic of the polymer …”
Section: Polymer Composites With Nanostructured Fillers For High Thermentioning
confidence: 99%
“…The combination of solution casting followed by melt intercalation/pressing has also been reported [28,32,33]. The main was to ensure the interaction between the fillers in order to promote the conductance path network within the host matrix.…”
Section: Other Processing Techniquesmentioning
confidence: 99%