2018
DOI: 10.1021/acsami.8b16616
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Thermal Percolation Threshold and Thermal Properties of Composites with High Loading of Graphene and Boron Nitride Fillers

Abstract: We investigated thermal properties of the epoxy-based composites with a high loading fractionup to ≈ 45 vol. % -of the randomly oriented electrically conductive graphene fillers and electrically insulating boron nitride fillers. It was found that both types of the composites revealed a distinctive thermal percolation threshold at the loading fraction > 20 vol. %. The graphene loading required for achieving the thermal percolation, , was substantially higher than the loading, , for the electrical percolation. G… Show more

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Cited by 256 publications
(243 citation statements)
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“…At the low graphene loading fraction, f g = 5 wt%, graphene fillers are dispersed randomly in the polymer matrix and are separated apart, not forming a percolated network. Addition of the Cu‐NP fillers increases the thermal conductivity slightly as expected from the effective medium considerations . At a large loading of Cu‐NP, f Cu ≈ 40 wt%, the Cu‐NPs fill in the gaps between the highly thermally conductive graphene fillers, and create a limited number of highly conductive thermal paths (see Figure g), which results in steeper increase in the thermal conductivity (Figure b).…”
Section: Resultsmentioning
confidence: 66%
“…At the low graphene loading fraction, f g = 5 wt%, graphene fillers are dispersed randomly in the polymer matrix and are separated apart, not forming a percolated network. Addition of the Cu‐NP fillers increases the thermal conductivity slightly as expected from the effective medium considerations . At a large loading of Cu‐NP, f Cu ≈ 40 wt%, the Cu‐NPs fill in the gaps between the highly thermally conductive graphene fillers, and create a limited number of highly conductive thermal paths (see Figure g), which results in steeper increase in the thermal conductivity (Figure b).…”
Section: Resultsmentioning
confidence: 66%
“…The material was processed in-house to find the optimum aspect ratio, lateral dimensions, and thickness of FLG fillers. [79] The samples were prepared in the form of disks with the diameter of 25.6 mm and thicknesses from 0.9 to 1.0 mm (see Table SI of the Supporting Information for the exact thickness of each individual sample). The theory and experimental studies [90][91][92][93][94] suggest that the higher the aspect ratio of the conductive fillers, the lower is the filler concentration required to achieve electrical percolation.…”
Section: Materials Synthesismentioning
confidence: 99%
“…The electrical percolation and resulting electrical conduction via the entire composite sample are likely to improve the EMI shielding efficiency. [68,72,79] For this reason, the strategy in materials synthesis was to achieve the electrical and thermal percolation by selecting the right filler dimensions and loading but avoiding the rolling and bending of the fillers. In the first batch, referred to as GF-A, the lateral dimensions of the FLG fillers were in the range from ≈1.5 to 10 µm and the thicknesses were in the range from 0.35 to 12 nm, which corresponds to 1-40 graphene monolayers, respectively.…”
Section: Materials Synthesismentioning
confidence: 99%
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