The effect of particle size on the thermal conductivity of ZnS/diamond composites

Every, A. G.; Tzou, Y.; Hasselman, D. P. H.; Raj, Rishi

doi:10.1016/0956-7151(92)90205-s

Cited by 356 publications

(201 citation statements)

References 16 publications

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“…This is especially so when there are several reported instances of significant changes in thermal conductivity in two-phase composites with volume fraction of the two phases, most notably in SiC/Al [29] and diamond/ZnS composites [30,31]. Although there is no detailed model for phonon scattering in multiple phase materials, one would expect that there would be two contributions to the thermal conductivity.…”

Section: Thermal Conductivity In Multiple Phase Compositionsmentioning

confidence: 99%

Thermal conductivity of single- and multi-phase compositions in the ZrO2–Y2O3–Ta2O5 system

Limarga

Shian

Leckie

et al. 2014

Journal of the European Ceramic Society

114

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Compositions in the ZrO2-Y2O3-Ta2O5 system are of interest as low thermal conductivity, fracture resistant oxides for the next generation thermal barrier coatings (TBC). Multiple phases occur in the system offering the opportunity to compare the thermal properties of single, two-phase, and three-phase materials. Despite rather large variations in compositions almost all the solid solution compounds had rather similar thermal conductivities and, furthermore, exhibited only relatively small variations with temperature up to 1000 o C. These characteristics are attributed to the extensive mass disorder in all the compounds and, in turn, small interfacial Kapitza (thermal) resistances. More complicated behavior, associated with the transformation from the tetragonal to monoclinic phase, occurs on long-term annealing in air of some of the compositions. However, the phases in two of the compositional regions do not change with annealing in air and their thermal conductivities remain unchanged suggesting they may be suitable for further exploration as thermally stable TBC overcoats.

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Section: Thermal Conductivity In Multiple Phase Compositionsmentioning

confidence: 99%

Thermal conductivity of single- and multi-phase compositions in the ZrO2–Y2O3–Ta2O5 system

Limarga

Shian

Leckie

et al. 2014

Journal of the European Ceramic Society

114

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“…These approaches generally assume conductive particles to be isolated in the matrix and take into account the thermal resistance in heat transfer between conductive particle and matrix, also known as Kapitza resistance, from the name of the discoverer of the temperature discontinuity at the metal-liquid interface. A very simple proof of thermal interfacial resistance is the fact that a thermal conductivity lower than the reference matrix was experimentally found with some composites containing particles with thermal conductivity higher than the matrix (Nan et al, 1997) and (Every et al, 1992). This phenomenon is explained by the very low efficiency of heat transfer between particles and matrix, so that the higher thermal conductivity of the filler cannot be taken into advantage and the composite behaves like a hollow material, thus reducing its conductivity compared to the dense reference matrix.…”

Section: Modeling Of Thermal Conductivity In Compositesmentioning

confidence: 99%

“…Attempts to model thermal conductivity taking into account the interfacial thermal resistance between conductive particles and matrix have been reported by several research groups (Nan et al, 1997), (Every et al, 1992), (Dunn & Taya, 1993), (Lipton & Vernescu, 1996) and (Torquato & Rintoul, 1995) and applied particles with different geometries and topologies, including aligned continuous fibers, laminated flat plates, spheres, as well as disoriented ellipsoidal particles. In general, these models provided an improved fit with experimental data for ceramic based composites than models not accounting for interface thermal resistance.…”

Section: Modeling Of Thermal Conductivity In Compositesmentioning

confidence: 99%

Thermal Conductivity of Nanoparticles Filled Polymers

Ebadi‐Dehaghani¹,

Nazempour²

2012

Smart Nanoparticles Technology

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“…Bruggeman assumed that the filler material particles were 7 added progressively to a composite matrix whose effective behavior is known at any given stage. Every et al [18] used Bruggeman's asymmetric model (BAM) for predicting the effective thermal conductivity of ZnS/Diamond composites. The deficiencies of using the BAM for predicting the composite thermal conductivity are described in [19].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Polydispersivity on the Thermal Conductivity of Particulate Thermal Interface Materials

Kanuparthi

Subbarayan

Siegmund

et al. 2009

IEEE Trans. Comp. Packag. Technol.

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A critical need in developing thermal interface materials (TIMs) is an understanding of the effect of particle/matrix conductivities, volume loading of the particles, the size distribution, and the random arrangement of the particles in the matrix on the homogenized thermal conductivity. Commonly, TIM systems contain random spatial distributions of particles of a polydisperse (usually bimodal) nature. A detailed analysis of the microstructural characteristics that influence the effective thermal conductivity of TIMs is the goal of this paper. Random microstructural arrangements consisting of lognormal size-distributions of alumina particles in silicone matrix were generated using a drop-fall-shake algorithm. The generated microstructures were statistically characterized using the matrix-exclusion probability function. The filler particle volume loading was varied over a range of 40-55 %. For a given filler volume loading, the effect of polydispersivity in the microstructures was captured by varying the standard deviation(s) of the filler particle size distribution function. For each particle arrangement, the effective thermal conductivity of the microstructures was evaluated through numerical simulations using a network model previously developed by the authors. Counter to expectation, increased polydispersivity was observed to increase the effective conductivity up to a volume loading of 50%. However, at a volume loading of 55%, beyond a limiting standard deviation of 0.9, the effective thermal conductivity decreased with increased standard deviation suggesting that the observed effects are a trade-off between resistance to transport through the particles versus transport through the inter-particle matrix gap in a percolation chain.

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The effect of particle size on the thermal conductivity of ZnS/diamond composites

Cited by 356 publications

References 16 publications

Thermal conductivity of single- and multi-phase compositions in the ZrO2–Y2O3–Ta2O5 system

Thermal conductivity of single- and multi-phase compositions in the ZrO2–Y2O3–Ta2O5 system

Thermal Conductivity of Nanoparticles Filled Polymers

The Effect of Polydispersivity on the Thermal Conductivity of Particulate Thermal Interface Materials

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