Effect of aggregation on thermal conduction in colloidal nanofluids

Prasher, Ravi; Evans, William J.; Meakin, Paul; Fish, Jacob; Phelan, Patrick E.; Keblinski, Pawel

doi:10.1063/1.2360229

Cited by 361 publications

(227 citation statements)

References 21 publications

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“…It is observed that heat conductivity first increases linearly with the degree of agglomeration, reaches a maximum at the percolation threshold and finally decreases. The raising of conductivity with size (at nanoscale) was confirmed by many authors [46][47][48][49][50][51] in the case of epoxy resin with various fillers and by Prasher et al [31,52] in the case of nanofluids.…”

Section: Final Validation Of Dependence Of the Effective Thermal Condsupporting

confidence: 49%

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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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Section: Final Validation Of Dependence Of the Effective Thermal Condsupporting

confidence: 49%

“…The value for is often taken equal to 1.8 and since the thermal conductivity appears to depend only weakly on its value [18,[28][29][30][31], we will here work with this value.…”

Section: Effect Of Agglomerationmentioning

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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“…Experimental evidence and theoretical modelling support the idea that the most effective heat transport in composites or nanofluids is achieved with rods and platelets, whereas composites with spheres conduct less efficiently [34][35][36][37]. Furthermore, a clustering of particles of any shape can significantly increase the thermal conductivity of composites [38]. Similarly Maxwell's formula for a two-phase mixture, consisting of randomly distributed, noninteracting, homogeneous spheres in a homogeneous medium can be used:…”

Section: Two-phase Modelsmentioning

confidence: 84%

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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“…Therefore, the interfacial zones predominantly affect the thermal conductivity of the composite [245,246]. As a result, anything that can affect the interfacial regions (e.g., geometry of particles [247][248][249][250][251][252][253], aggregation [254][255][256], interfacial pressure [257], roughness [258][259][260], and the strength of interactions at the interfaces [261][262][263][264][265]) in the composites would influence their thermal conductivity. In this section, we will review the parameters affecting the interfacial interactions and their subsequent impact on the thermal conductivity of the composites.…”

Section: Thermal Conductivitymentioning

confidence: 99%

A review on the role of interface in mechanical, thermal, and electrical properties of polymer composites

Kashfipour

Mehra

Zhu

2018

Adv Compos Hybrid Mater

161

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Composite materials and especially polymer composites are widely used in daily life and different industries due to their vastly different properties and design flexibility. It is known that the properties of the composites are strongly related to the properties of its constituents. However, it has been reported in many studies, experimentally and by simulations, that the characteristics of the composites do not follow the rule of mixing. It means that in addition to properties of the constituents, there are other parameters affecting the final physicochemical properties of composites. The interfacial interactions between fillers and host is one of the factors which can strongly affect the properties of the composite. In this review, we summarized the type of interactions between the constituents, their improvement techniques, interaction measurement methods, and the effects of interfacial interactions on thermal, mechanical, and electrical properties of composites.

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Effect of aggregation on thermal conduction in colloidal nanofluids

Cited by 361 publications

References 21 publications

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

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

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

A review on the role of interface in mechanical, thermal, and electrical properties of polymer composites

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