Mesoscopic simulations of phase distribution effects on the effective thermal conductivity of microgranular porous media

Wang, Moran; Pan, Ning; Wang, Jinku; Chen, Shiyi

doi:10.1016/j.jcis.2007.03.038

Cited by 79 publications

(49 citation statements)

References 57 publications

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“…One result this assumption led to is that the effective thermal conductivity of granular porous materials increases with the decreased pore size for a given porosity [31], which agreed well with experimental data from both natural and engineering materials [32,33]. However, some recent measurements for nanoporous materials have shown some contradictory results that the effective thermal conductivity actually decreases with the reduced pore size [34] or particle size as in silica aerogels [35].…”

Section: Introductionsupporting

confidence: 64%

“…An expedient solution for this problem was to assume ρc p = 1 [26,43], so that λ is numerically equal to a. This assumption ρc p = 1 has been adopted widely and works well for cases with negligible thermal contact resistance [26][27][28][29][30]44] However when the temperature and heat flux at interfaces have to be considered, the assumption (ρc p = 1) may lead to conflict so that the entire framework needs to be reformulated.…”

Section: Lbm Scheme For Thermal Conductionmentioning

confidence: 99%

See 1 more Smart Citation

Lattice Boltzmann Modeling of Thermal Conduction in Composites with Thermal Contact Resistance

Xie

Wang

et al. 2015

Commun. Comput. Phys.

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Abstract. The effective thermal conductivity of composite materials with thermal contact resistance at interfaces is studied by lattice Boltzmann modeling in this work. We modified the non-dimensional partial bounce-back scheme, proposed by Han et al. [Int. J. Thermal Sci., 2008. 47: 1276-1283, to introduce a real thermal contact resistance at interfaces into the thermal lattice Boltzmann framework by re-deriving the redistribution function of heat at the phase interfaces for a corrected dimensional formulation. The modified scheme was validated in several cases with good agreement between the simulation results and the corresponding theoretical solutions. Furthermore, we predicted the effective thermal conductivities of composite materials using this method where the contact thermal resistance was not negligible, and revealed the effects of particle volume fraction, thermal contact resistance and particle size. The results in this study may provide a useful support for materials design and structure optimization. 65.80.-g PACS:

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Section: Introductionsupporting

confidence: 64%

Section: Lbm Scheme For Thermal Conductionmentioning

confidence: 99%

Lattice Boltzmann Modeling of Thermal Conduction in Composites with Thermal Contact Resistance

Xie

Wang

et al. 2015

Commun. Comput. Phys.

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“…22,23,38,39 Very recently the LBM has been used to predict effective thermal conductivities of multiphase microporous media by varying the local relaxation time. [24][25][26] Here we develop our previous model 24 further so as to predict the effective conductivities of FGMs.…”

Section: B the Lattice Boltzmann Modelmentioning

confidence: 99%

“…Our method has been employed for predicting thermal properties of various microporous media and the results agree well with the existing experimental data. [24][25][26] The objective of this contribution is to investigate the effective conductivities of multiphase FGMs by numerical simulations. With our method, the microstructures of given FGMs are generated in the computer by a random generation-growth method 24 accounting for the effects of multiphase distribution and interactions, and then the transport governing equations are solved by our high-efficiency lattice Boltzmann algorithm with necessary modifications.…”

Section: Introductionmentioning

confidence: 99%

Transport properties of functionally graded materials

Wang¹,

Meng

Pan³

2007

Journal of Applied Physics

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This paper presents a numerical method to predict the effective transport properties of multiphase functionally graded materials, accounting for the effects of random phase distribution and multiphase interactions. Firstly, the multiphase microstructures of such graded materials are reproduced by a random generation-growth algorithm, and then the corresponding transport governing equations are solved using a high-efficiency lattice Boltzmann method. The predicted effective electric and thermal conductivities agree well with the existing experimental data for both two-and three-phase functionally graded materials. Furthermore when the methodology is extended to other transport and even nontransport physical properties of multiphase composites, our simulated results still agree much better with the available experimental data than the existing theoretical models. This may exhibit the robusticity and wider applicability of the present approach.

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“…Nanocomposites know a huge variety of applications, such as heat conduction enhancement in polyesters [1] or energy storage systems [2], to mention a few. Studies on the thermal conduction in porous media have been of great interest due to their applications in, for instance, material design, geophysical exploration, biological and medical engineering [3,4]. The change in thermal conductivity has also been exploited to increase the figure of merit ZT of thermoelectric materials which behaves as the inverse of the heat conductivity [5].…”

Section: Introductionmentioning

confidence: 99%

Heat transfer at nanometric scales described by extended irreversible thermodynamics

Machrafi

2016

Communications in Applied and Industrial Mathematics

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The purpose of this work is to present a study on heat conduction in systems that are composed out of spherical and cylindrical micro-and nanoparticles dispersed in a bulk matrix. Special emphasis is put on the dependence of the effective heat conductivity on various selected parameters as particle size and also its shape, surface specularity and density, including particle-matrix interaction. The heat transfer at nanometric scales is modelled using extended irreversible thermodynamics, whose main feature is to elevate the heat flux vector to the status of independent variable. The model is illustrated by a Copper-Silicium (Cu-Si) system. It is shown that all the investigated parameters have a considerable influence, the particle size being especially useful to either increase or decrease the effective thermal conductivity.

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Mesoscopic simulations of phase distribution effects on the effective thermal conductivity of microgranular porous media

Cited by 79 publications

References 57 publications

Lattice Boltzmann Modeling of Thermal Conduction in Composites with Thermal Contact Resistance

Lattice Boltzmann Modeling of Thermal Conduction in Composites with Thermal Contact Resistance

Transport properties of functionally graded materials

Heat transfer at nanometric scales described by extended irreversible thermodynamics

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