Permeability modeling of fibrous media with bimodal fiber size distribution

Gervais, Pierre-Colin; Bardin‐Monnier, Nathalie; Thomas, Dominique

doi:10.1016/j.ces.2012.01.040

Cited by 47 publications

(26 citation statements)

References 14 publications

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“…It includes part of Section 2 of Gervais et al [12]. The prediction of fibrous media permeability is reduced to finding an equivalent radius from the fiber size distribution.…”

Section: Permeabilitymentioning

confidence: 99%

“…Among the researches devoted to the modeling of such performances, numerical studies, consisting in designing fibrous micro-geometries together with solving transport equations, seem to be relevant tools. Indeed, these approaches allow the influence of parameters like the fiber orientation [7], the fiber length [8], the solid volume fraction (SVF), the fiber diameter [9] or the fiber diameter ratio for bimodal fibrous media [10][11][12] to be investigated specifically. All of these parameters are the input data for the structure generation models and their determination involves assumptions.…”

Section: Introductionmentioning

confidence: 99%

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Simulations of filter media performances from microtomography-based computational domain. Experimental and analytical comparison

et al. 2015

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“…It includes part of Section 2 of Gervais et al [12]. The prediction of fibrous media permeability is reduced to finding an equivalent radius from the fiber size distribution.…”

Section: Permeabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulations of filter media performances from microtomography-based computational domain. Experimental and analytical comparison

et al. 2015

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“…Thin, highly porous materials are characterized by thickness on the order of pore dimension (Prat and Agaësse 2015) and by porosity of larger than 60 % (Gervais et al 2012;Gostick 2013;Si et al 2015). Therefore, representative elementary volume (REV) requirements cannot be satisfied, and macroscale theories of transport do not hold (Qin and Hassanizadeh 2014).…”

Section: Introductionmentioning

confidence: 98%

A Feasibility Study of the Pore Topology Method (PTM), A Medial Surface-Based Approach to Multi-phase Flow Simulation in Porous Media

et al. 2016

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Computationally efficient microscale models designed to simulate multi-phase flow and characterize low-porosity media are challenged in thin, highly porous materials, primarily due to large, irregular pore spaces and inability to satisfy representative elementary volume requirements. In this article, we describe the pore topology method (PTM) and explore its capabilities to characterize a set of isotropic fibrous materials and to simulate multi-phase flow. PTM is a fast, algorithmically simple method that reduces the complexity of the 3-D void space geometry to its topologically consistent medial surface and uses it as a solution domain for single-and multi-phase flow simulations. Our results in permeability calculations, pore size distribution, and quasi-static drainage and imbibition simulations are in very good agreement with other numerical methods and analytical solutions. We expect that incorporating detailed spatial information about the porous media structure into the medial surface will enable a more accurate representation of the void space structure and of physical phenomena involved in multi-phase flow, thus expanding the applicability of PTM to a broader range of porous media, including non-fibrous materials.

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“…These are the predictions of magnitudes which summarize the quality of the product which is being developed. In the case of a filtering device, as collected in various ISO norms, these magnitudes are the pressure drop (lifetime) and particle collection efficiency [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

3D Simulation of the Filtration and Dust Retention Process of a Fuel Filter

et al. 2015

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A model for the description of the dust retention process inside a filter was developed and successfully applied to a detailed 3D numerical simulation of a Bosch automotive diesel filter. Specifically, the variation of the pressure drop due to the clogging process in the filter paper could be well predicted. For this approach, an Eulerian-Eulerian two-phase flow formulation was applied. For the dispersed phase, the Eulerian description was made by means of a probability density function transport equation. The simulations also provide complete spatial information about the flow both in the clean and dirty sides of the filter and the particle distribution, size, and velocity. The intention of the newly developed numerical tool is to help in the design of filtering devices.

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Permeability modeling of fibrous media with bimodal fiber size distribution

Cited by 47 publications

References 14 publications

Simulations of filter media performances from microtomography-based computational domain. Experimental and analytical comparison

Simulations of filter media performances from microtomography-based computational domain. Experimental and analytical comparison

A Feasibility Study of the Pore Topology Method (PTM), A Medial Surface-Based Approach to Multi-phase Flow Simulation in Porous Media

3D Simulation of the Filtration and Dust Retention Process of a Fuel Filter

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