2016
DOI: 10.1016/j.applthermaleng.2015.09.094
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On the effective thermal conductivity of aluminum metal foams: Review and improvement of the available empirical and analytical models

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Cited by 134 publications
(50 citation statements)
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“…De Jaeger [34] has determined these effective conductivities based on his hybrid numerical model. Similar techniques for this are also discussed by Haussener et al [69] and Ranut [71]. The numerical results obtained here are also verified by the work of Le et al [70] using sound to measure the tortuosity.…”
Section: Numerical Work: the Volume Averaging Theorysupporting
confidence: 87%
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“…De Jaeger [34] has determined these effective conductivities based on his hybrid numerical model. Similar techniques for this are also discussed by Haussener et al [69] and Ranut [71]. The numerical results obtained here are also verified by the work of Le et al [70] using sound to measure the tortuosity.…”
Section: Numerical Work: the Volume Averaging Theorysupporting
confidence: 87%
“…For the determination of the effective properties (effective viscosity μe and both effective conductivities kf,e= and ks,e=), the reader is referred to [34,69,70,71,72,73,74] in which these parameters are determined numerically or analytically. De Jaeger [34] has determined these effective conductivities based on his hybrid numerical model.…”
Section: Numerical Work: the Volume Averaging Theorymentioning
confidence: 99%
“…Evaluation of these properties has been the subject of abundant literature, both on the experimental and modeling sides. We refer the reader to recent reviews on the subject, for instance, a very broad review of analytical and empirical models for aluminum foams [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…Following very early work [26], analytical models are generally based on the simplification of a given structure into a network of thermal resistances. The foams are generally considered as saturated by a fluid; accordingly, the models depend on solid and fluid intrinsic conductivities, plus some geometrical parameters that can be as simple as just porosity, or more elaborate [18]. Many geometries have been analyzed: arrangements of cubes with or without spherical holes [27], hexagonal cells [28], fiber assemblies [29,30], symmetrical interconnected network of fibers and cavities [31] [38] extracted an equivalent resistance network from a scan and solved quasi-analytically the associated transfer problem.…”
Section: Introductionmentioning
confidence: 99%
“…In the typical case of well-connected pores, diverse physical phenomena in porous media, such as fluid flow, heat and mass transfer, gas adsorption, and phase transformations, may be amenable to homogenized macroscopic descriptions [2], although the exact connection with microscopic details of the porous medium is not always clear. Remarkably, any continuum model implicitly assumes that the overall effects of the often nontrivial pore-space morphologies [3] can be encapsulated in a small number of parameters, e.g., porosity, φ, tortuosity, τ , intrinsic permeability, k s , effective thermal conductivity, k e , etc., and the state of any fluid phase can be described by a small number of distributed state variables, e.g., pressure, p, saturation, s, etc.. For certain simple physical processes, especially those involving a single fluid phase, simple continuum formulations generally work well, and a rigorous connection between the porescale and continuum-scale governing equations can be sought -examples include single-phase flow [4,5] and heat transfer [6,7] -although estimating the transport coefficients from microscopic features of the porous medium is still an open research problem [8,9,10,11,12].…”
Section: Introductionmentioning
confidence: 99%