2005
DOI: 10.1016/j.ijheatmasstransfer.2004.12.032
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Thermal conductivity bounds for isotropic, porous materials

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Cited by 542 publications
(319 citation statements)
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References 26 publications
(37 reference statements)
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“…Atabaki and Baliga [124] reviewed several thermal conductivity models for two-phase mixtures and developed a modified empirical correlation based on experimental data for sintered metal powders [123,124]. Similar testing of biporous and monoporous sintered copper powders performed by Catton and coworkers [64,125] revealed that the effective medium theory model [126] discussed by Carson et al [127], which assumes a random dispersion of both material phases, provides an upper bound on effective thermal conductivity. Li and Peterson [128] reviewed models for predicting the effective conductivity of layers of wire screen, and performed experiments using sintered screen to validate a proposed analytical model as a function of the mesh number and wire diameter.…”
Section: Empirical Characterizationmentioning
confidence: 97%
“…Atabaki and Baliga [124] reviewed several thermal conductivity models for two-phase mixtures and developed a modified empirical correlation based on experimental data for sintered metal powders [123,124]. Similar testing of biporous and monoporous sintered copper powders performed by Catton and coworkers [64,125] revealed that the effective medium theory model [126] discussed by Carson et al [127], which assumes a random dispersion of both material phases, provides an upper bound on effective thermal conductivity. Li and Peterson [128] reviewed models for predicting the effective conductivity of layers of wire screen, and performed experiments using sintered screen to validate a proposed analytical model as a function of the mesh number and wire diameter.…”
Section: Empirical Characterizationmentioning
confidence: 97%
“…Several analytical models for the estimation of thermal conductivity of heterogeneous materials exist (Progelhof et al, 1976;Carson et al, 2005;Wang et al, 2006) and can be applied to gas diffusion layers. In the following, the most fundamental models -parallel model, series model, Maxwell Eucken model, effective medium theory model and cocontinous model -are presented.…”
Section: Estimation Of Thermal Conductivity Of Heterogeneous Materialsmentioning
confidence: 99%
“…The effective medium theory (EMT) model (see equation (4)) assumes a random, mutual dispersion of two components (Carson et al, 2005).…”
Section: Estimation Of Thermal Conductivity Of Heterogeneous Materialsmentioning
confidence: 99%
“…If the lattice consists of only graphite, tally is done over the lattice cubical volume. 20 shows the temperature distributions obtained from the Monte Carlo method compared to the two analytic bound solutions superimposed with a particle located at the center of the pebble based on commonly quoted homogenized models [16]. It is important to note that the volumetric analytic solution usually presented in the literature [17] predicts lower temperatures than those of (thus underestimates) the Monte Carlo results.…”
Section: Comparison Between the Fls (Fine Lattice Stochastic) Model Amentioning
confidence: 99%