Transport properties of real metallic foams

Gerbaux, Odile; Buyens, Fanny; Mourzenko, V. V.; Memponteil, Alain; Vabre, Alexandre; Thovert, Jean‐François; Adler, P. M.

doi:10.1016/j.jcis.2009.10.011

Cited by 37 publications

(22 citation statements)

References 25 publications

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“…Also wall effects were minimised as the matrix of pores protrudes to the edge of the volume. It was noted in literature [31,32] and visible in early model designs that fluid would take the easier path of skirting around the wall edges to avoid the porous region and hence this model design avoids this unwanted anomaly.…”

Section: Representative Modelmentioning

confidence: 99%

Representative model and flow characteristics of open pore cellular foam and potential use in proton exchange membrane fuel cells

Carton

Olabi

2015

International Journal of Hydrogen Energy

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Section: Representative Modelmentioning

confidence: 99%

Representative model and flow characteristics of open pore cellular foam and potential use in proton exchange membrane fuel cells

Carton

Olabi

2015

International Journal of Hydrogen Energy

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“…For the numerical calculation of permeability of metallic foams the following methods have been applied: (1) Finite Volumes, (2) Lattice Boltzmann, (3) Finite Difference method. Gerbaux et al ( [2]) calculate the permeability of 3 real metallic foams by solving fluid flow in the porous medium with the Lattice Boltzmann method and the finite Volume Method. Xu et al ( [3]) perform a finite volume analysis to estimate the permeability of some foams with different porosities and foam cells properties.…”

Section: Introductionmentioning

confidence: 99%

Estimation of large domain Al foam permeability by Finite Difference methods

Osorno

Steeb

Uribe

et al. 2013

Proc Appl Math and Mech

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Classical methods to calculate permeability of porous media have been proposed mainly for high density (e.g. granular) materials. These methods present shortcomings in high porosity, i.e. high permeability media (e.g. metallic foams). While for dense materials permeability seems to be a function of bulk properties and occupancy averaged over the volume, for highly porous materials these parameters fail to predict it. Several authors have attacked the problem by solving the Navier-Stokes equations for the pressure and velocity of a liquid flowing through a small domain (Ωs) of aluminium foam and by comparing the numerical results with experimental values (prediction error approx. 9%). In this article, we present calculations for much larger domains (ΩL) using the Finite Difference (FD) method, solving also for the pressure and velocity of a viscous liquid flowing through the Packed Spheres scenario. The ratio V ol(ΩL)/V ol(Ωs) is around 10 3 . The comparison of our results with the Packed Spheres example yields a prediction error of 5% for the intrinsic permeability. Additionally, numerical permeability calculations have been performed for Al foam samples. Our geometric modelling of the porous domain stems from 3D X-ray tomography, yielding voxel information, which is particularly appropriate for FD. Ongoing work concerns the reduction in computing times of the FD method, consideration of other materials and fluids, and comparison with experimental data.

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“…Metal-coated polymer foams present moreover hollow struts due to the elimination of the polymer preform, also well visible on micrographs [ 10 ] or reconstructed 3D data [ 13 ]. Some intermediate states between closed and open foams may exist ( i.e.…”

Section: Introductionmentioning

confidence: 67%

“…Next to purely experimental studies [5][6][7][8][9][10][11], computational models at the microstructural scale, or homogenization-based and multi-scale models may bring a more in-depth understanding of the relationship between the local morphological features of the material and its global behavior. Closely related to experimental characterizations are the numerical simulations that use the real geometry of materials, thanks to the use of computer-aided tomography data, to build finite element models [12][13][14][15]. In spite of the valuable results they provide ( in particular when coupled with real tests on scanned samples ), such studies however present the same kind of drawbacks as in purely experimental studies, i.e.…”

Section: Introductionmentioning

confidence: 99%

An advanced approach for the generation of complex cellular material representative volume elements using distance fields and level sets

2015

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A general and widely tunable method for the generation of Representative Volume Elements ( RVEs ) for cellular materials based on distance and level set functions is presented. The approach is based on random tessellations constructed from random inclusion packings. A general methodology to obtain arbitraryshaped tessellations to produce disordered foams is presented and illustrated. These tessellations can degenerate either in classical Voronoï tessellations potentially additively weighted depending on properties of the initial inclusion packing used, or in Laguerre tessellations through a simple modification of the formulation. A versatile approach to control the particular morphology of the obtained foam is introduced. Specific local features such as concave triangular Plateau borders and non-constant thickness heterogeneous coatings can be built from the tessellation in a straightforward way and are tuned by a small set of parameters with a clear morphological interpretation.

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Transport properties of real metallic foams

Cited by 37 publications

References 25 publications

Representative model and flow characteristics of open pore cellular foam and potential use in proton exchange membrane fuel cells

Representative model and flow characteristics of open pore cellular foam and potential use in proton exchange membrane fuel cells

Estimation of large domain Al foam permeability by Finite Difference methods

An advanced approach for the generation of complex cellular material representative volume elements using distance fields and level sets

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