Synergistic Effect of Irregular Shaped Particles and Graphene on the Thermal Conductivity of Epoxy Composites

Liu, Changqing; Chen, Cheng; Wang, Hongmei; Chen, Mao; Zhou, Demin; Xu, Zhengxia; Yu, Wei

doi:10.1002/pc.24968

Cited by 30 publications

(19 citation statements)

References 35 publications

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“…GNP, graphene nanoplate; PR, polyrotaxane heat transfer network chain is mainly formed by graphene when the metal particles constitute less than approximately 20 wt% of the metal nanoparticle/ graphene and epoxy composites. [28] In contrast, our study features a lower content of Ag nanoparticles, approximately 10 wt% of the GNPs. [15] The synergistic enhancement of the thermal conductivity in the Ag/GNP composites due to the GNP and Ag nanoparticles was not observed along the in-plane direction; this might be because of the small amount of Ag nanoparticles physisorbed on GNPs and/or because the main heat conduction path was not along the GNP orientation.…”

Section: Mechanical Propertiescontrasting

confidence: 58%

Fabrication of polyrotaxane and graphene nanoplate composites with high thermal conductivities

et al. 2021

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In recent years, rapid progress in the development of flexible electronic devices has increased the demand for materials with low Young's modulus and high thermal conductivities. In this study, we successfully fabricated such composites with polyrotaxane (PR) by applying highly concentrated graphene nanoplates (GNPs). A high thermal conductivity of 25 W m À1 K À1 was achieved along the in-plane direction of the composite while maintaining a low Young's modulus of 147 MPa at 35 vol% of GNPs. This thermal conductivity is higher than those achieved with PR composites containing 56 vol% of hexagonal boron nitride and 37 vol% of aligned carbon nanofiber/carbon nanotubes.

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Section: Mechanical Propertiescontrasting

confidence: 58%

Fabrication of polyrotaxane and graphene nanoplate composites with high thermal conductivities

et al. 2021

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“…graphene and h-BN. GNP / h-BN 4.7 16 / 1 vol.% epoxy [31] GNP / Al2O3 / MgO 3.1 0.5 / 48.7 / 20.8 wt% PC/ABS [57] CNTs grown on the GNP 2.4 20 wt% epoxy [58] GNP / h-BN 1.8 20 / 1.5 wt% PA [59] GNP / MWCNT 1.4 18 / 2 wt% PC [60] Ag NWs/ GNP (functionalized) 1.4 4 vol% / 2 wt% epoxy [61] GNP decorated with Al2O3 1.5 12 wt% epoxy [62] Ag nanoparticle decorated GNS 1.0 5 wt% epoxy [63] GNP / h-BN (nanosheet) 0.9 6.8 / 1.6 wt% PA6 [64] GNP / h-BN 0.7 20 / 1.5 wt% PS [59] GNP / Ni 0.7 5.0 /8 wt% PVDF [65] GNP / MgO 0.5 30 wt% epoxy [66] MgO / GNP (coated) 0.4 7 wt % epoxy [67] GNP / MWCNT 0.3 0.1 / 0.9 wt% epoxy [68] GO / MWCNT 4.4 4.64 / 0.36 wt% epoxy [69] GO / AlN 2.8 6 / 50 wt% epoxy [70] Al2O3 / rGO (functionalized) 0.3 30 / 0.3 wt% epoxy [71] h-BN (vertically aligned) / SiC 5.8 40 wt% epoxy [72] 3D BN / rGO 5.1 13.2 wt% epoxy [73] h-BN / AlN (anisotropic/spherical) 4.1 (in-plane) 30 wt% PI [74] h-BN (whiskers/aggregated particles) 3.6 12.9 / 30.1 vol% epoxy [75] h-BN (µm and nm size) 2.6 40 /20 wt% PPS [33] h-BN / MWCNT (Functionalized) 1.9 30 / 1 vol% epoxy [76] h-BN / MWCNT 1.7 50 / 1 wt% PPS [77] h-BN (µm/nm sized) 1.2 30 wt% PI [34] Ag nanoparticle-deposited BN 3.1 25.1 epoxy [78] MWCNT / micro -SiC (functionalized) 6.8 5 / 55 wt% epoxy [79] MWCNT / AlN 1.0 4 / 25 wt% epoxy [80] MWCNT / Cu 0.6 15 / 40 wt% epoxy [81] AlN / Al2O3 (large/small size) 3.4 40.6 /17.4 wt% epoxy [32] SNPs / Ag NWs 1.1 40 / 4 wt% epoxy [82] GO-encapsulated h-BN (h-BN@GO) 2.2 total: 40 wt% epoxy [83] AlN (whiskers/spheres) 4.3 30 / 30 vol.% epoxy [38] GNS / CINAP 4.1 5 / ...…”

Section: Resultsmentioning

confidence: 99%

Thermal Properties of the Binary‐Filler Hybrid Composites with Graphene and Copper Nanoparticles

Barani

Mohammadzadeh

Geremew

et al. 2019

Adv Funct Materials

226

160

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The thermal properties of epoxy‐based binary composites comprised of graphene and copper nanoparticles are reported. It is found that the “synergistic” filler effect, revealed as a strong enhancement of the thermal conductivity of composites with the size‐dissimilar fillers, has a well‐defined filler loading threshold. The thermal conductivity of composites with a moderate graphene concentration of fg = 15 wt% exhibits an abrupt increase as the loading of copper nanoparticles approaches fCu ≈ 40 wt%, followed by saturation. The effect is attributed to intercalation of spherical copper nanoparticles between the large graphene flakes, resulting in formation of the highly thermally conductive percolation network. In contrast, in composites with a high graphene concentration, fg = 40 wt%, the thermal conductivity increases linearly with addition of copper nanoparticles. A thermal conductivity of 13.5 ± 1.6 Wm−1K−1 is achieved in composites with binary fillers of fg = 40 wt% and fCu = 35 wt%. It has also been demonstrated that the thermal percolation can occur prior to electrical percolation even in composites with electrically conductive fillers. The obtained results shed light on the interaction between graphene fillers and copper nanoparticles in the composites and demonstrate potential of such hybrid epoxy composites for practical applications in thermal interface materials and adhesives.

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“…Alternatively, the addition of second thermally conductive fillers with specific configurations is also effective for improving thermal conductivity of graphene/polymer composites on the basis of the synergistic effect between different conductive fillers [ 95 ]. For example, the synergistic effect of 2D graphene sheets and 0D Al 2 O 3 particles can reduce the aggregation of graphene in polylactic acid (PLA) and the contact thermal resistance at the interface of fillers, resulting in an enhanced thermal conductivity of the graphene/Al 2 O 3 /PLA composite [ 96 ].…”

Section: Constructing Graphene Network In Composites By Blending Grap...mentioning

confidence: 99%

Efficient Preconstruction of Three-Dimensional Graphene Networks for Thermally Conductive Polymer Composites

et al. 2022

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Electronic devices generate heat during operation and require efficient thermal management to extend the lifetime and prevent performance degradation. Featured by its exceptional thermal conductivity, graphene is an ideal functional filler for fabricating thermally conductive polymer composites to provide efficient thermal management. Extensive studies have been focusing on constructing graphene networks in polymer composites to achieve high thermal conductivities. Compared with conventional composite fabrications by directly mixing graphene with polymers, preconstruction of three-dimensional graphene networks followed by backfilling polymers represents a promising way to produce composites with higher performances, enabling high manufacturing flexibility and controllability. In this review, we first summarize the factors that affect thermal conductivity of graphene composites and strategies for fabricating highly thermally conductive graphene/polymer composites. Subsequently, we give the reasoning behind using preconstructed three-dimensional graphene networks for fabricating thermally conductive polymer composites and highlight their potential applications. Finally, our insight into the existing bottlenecks and opportunities is provided for developing preconstructed porous architectures of graphene and their thermally conductive composites.

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Synergistic Effect of Irregular Shaped Particles and Graphene on the Thermal Conductivity of Epoxy Composites

Cited by 30 publications

References 35 publications

Fabrication of polyrotaxane and graphene nanoplate composites with high thermal conductivities

Fabrication of polyrotaxane and graphene nanoplate composites with high thermal conductivities

Thermal Properties of the Binary‐Filler Hybrid Composites with Graphene and Copper Nanoparticles

Efficient Preconstruction of Three-Dimensional Graphene Networks for Thermally Conductive Polymer Composites

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