Thermal Properties of Composites Filled with Different Fillers

Han, Zhengyi; Wood, John; Herman, H.; Zhang, C.; Stevens, G.C.

doi:10.1109/elinsl.2008.4570381

Cited by 41 publications

(37 citation statements)

References 5 publications

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“…Ekstrand and co-authors [22] proposed the following: (a) decreasing the number of thermally resistant junctions; (b) forming conducting networks by suitable packing; and (c) minimize filler-matrix interfacial defects to improve the thermal conductivity of the polymer composites. Han et al [10] found that an epoxy-filler composite with agglomerates of particles is more efficient in enhancing the thermal conductivity than a nanocomposite (NC) with well dispersed nanoparticles. This is presumably due to formation of percolated pathways or networks.…”

Section: Introductionmentioning

confidence: 99%

“…Most polymers have a thermal conductivity between 0.1 and 0.6 W m −1 K −1 [1]. In order to improve the thermal conductivity of polymers, inorganic fillers with a higher thermal conductivity than the host, such as aluminium nitride (AlN) [2][3][4][5][6][7][8], boron nitride (BN) [3,4,6,[9][10][11][12], aluminium oxide (Al 2 O 3 ) [4,10,13,14], silicon dioxide (SiO 2 ) [4,15,16], silicon carbide (SiC) [10,13], silicon nitride (Si 3 N 4 ) [10,15,17], carbon nanotubes [18,19] and nanodiamond [15,16], are used to create polymer-based composites with improved thermal conduction.…”

Section: Introductionmentioning

confidence: 99%

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Modelling of the thermal conductivity in polymer nanocomposites and the impact of the interface between filler and matrix

Kochetov¹,

Korobko²,

Andritsch³

et al. 2011

J. Phys. D: Appl. Phys.

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In this paper the thermal conductivity of epoxy-based composite materials is analysed. Twoand three-phase Lewis-Nielsen models are proposed for fitting the experimental values of the thermal conductivity of epoxy-based polymer composites. Various inorganic nano-and microparticles were used, namely aluminium oxide, aluminium nitride, magnesium oxide and silicon dioxide with average particle size between 20 nm and 20 µm. It is shown that the filler-matrix interface plays a dominant role in the thermal conduction process of the nanocomposites. The two-phase model was proposed as an initial step for describing systems containing 2 constituents, i.e. an epoxy matrix and an inorganic filler. The three-phase model was introduced to specifically address the properties of the interfacial zone between the host polymer and the surface modified nanoparticles.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling of the thermal conductivity in polymer nanocomposites and the impact of the interface between filler and matrix

Kochetov¹,

Korobko²,

Andritsch³

et al. 2011

J. Phys. D: Appl. Phys.

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“…In thermal applications, the often low thermal conductivity of the polymeric matrix is typically increased by dispersing in the host matrix inorganic fillers, such as aluminium nitride (AlN) [1,2], boron nitride (BN) [3] and carbon nanotubes [4], or more specifically, ceramic fillers, such as aluminum oxide (Al2O3) [5]. Another way is to design a new material where the material orientation is controlled [6,7].…”

Section: Introductionmentioning

confidence: 99%

Effect of volume-fraction dependent agglomeration of nanoparticles on the thermal conductivity of nanocomposites: Applications to epoxy resins, filled by SiO2, AlN and MgO nanoparticles

Machrafi

Lebon

Iorio

2016

Composites Science and Technology

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Abstract.A thermodynamic model for transient heat conduction in ceramic-polymer nanocomposites is proposed. The model takes into account particle's size, particle's volume fraction, and interface characteristics with emphasis on the effect of agglomeration of particles on the effective thermal conductivity of the nanocomposite.The originality of the present work is its basement on extended irreversible thermodynamics, combining nano-and continuum-scales without invoking molecular dynamics. The model is compared to experimental data using the examples of SiO2, AlN and MgO nanoparticles embedded in epoxy resin. The analysis is limited to spherical nanoparticles. The dependence of the degree of agglomeration with respect of the volume fraction of particles is also discussed and a power-law relation is established through a kinetic mechanism and experiments performed in our laboratory. This relation is used in 2 our theoretical model, resulting into a good agreement with experiments. It is shown that the effective thermal conductivity may either increase or decrease with the degree of agglomeration.

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“…When the enormous specific surface area is taken advantage of, strong improvements are noticed as a result of nanoparticle inclusion in polymeric matrices. It has been anticipated 4 that the combination of nanoparticles with traditional resin systems may result in the preparation of nanocomposites with enhanced electrical, thermal, and mechanical properties.…”

Section: Introductionmentioning

confidence: 99%

Epoxy–nanocomposites with ceramic reinforcement for electrical insulation

Amendola¹,

Scamardella

Petrarca

et al. 2011

J of Applied Polymer Sci

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Ceramic nanoparticles, that is, SiO 2 , TiO 2 , and Al 2 O 3 nanoparticles, with increasingly high thermal conductivity (k), represent good candidates for improving the thermophysical properties of epoxy resins. In this study, the influence of filler addition on the thermal, mechanical, and dielectric properties were investigated by means of differential scanning calorimetry, dynamic mechanical analysis, and dielectric spectroscopy to measure k, storage and loss moduli, dielectric permittivity, and volume resistivity. Moreover, morphological investigations by scanning electron microscopy were performed to confirm the particle dispersion into the epoxy matrix. The results show that both the elastic modulus and glass-transition temperature increased with particle content. An enhancement of k was also observed at high filler contents because of the formation of heat conductive pathways within the matrix. The nanocomposites' relative permittivity at 50 Hz was lower, whereas the dielectric loss was slightly higher compared with that of the neat epoxy matrix. A decrease in the relative permittivity with increasing frequency, both for the unfilled epoxy resin and epoxy-nanocomposites, was observed.

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Thermal Properties of Composites Filled with Different Fillers

Cited by 41 publications

References 5 publications

Modelling of the thermal conductivity in polymer nanocomposites and the impact of the interface between filler and matrix

Modelling of the thermal conductivity in polymer nanocomposites and the impact of the interface between filler and matrix

Effect of volume-fraction dependent agglomeration of nanoparticles on the thermal conductivity of nanocomposites: Applications to epoxy resins, filled by SiO2, AlN and MgO nanoparticles

Epoxy–nanocomposites with ceramic reinforcement for electrical insulation

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