A two-permeability approach for assessing flow properties in metal foam

Dukhan, Nihad; Minjeur, Carel A.

doi:10.1007/s10934-010-9393-1

Cited by 69 publications

(49 citation statements)

References 22 publications

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“…As expected, the pressure-drop increases with increasing airflow velocity in similar trends to those reported in [2,4,6,7,[10][11][12][13][14], but a third order (rather than second order) polynomial provides a better fit to the data over the entire velocity range. The different regimes can be identified by using a graphical separation method used by Boomsma et al [11] and adopted in many related works [4,6,9,13,15,16]. Figure 5 shows the various regimes and transitional regions including the commonly-studied Forchheimer regime, which was found to lie between 4 and 12 m sˉ¹.…”

Section: Length-normalised Pressure Drop and Regime Changesupporting

confidence: 79%

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Tailoring the pressure-drop in multi-layered open-cell porous inconel structures

Oun

Kennedy

2015

J Porous Mater

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Section: Length-normalised Pressure Drop and Regime Changesupporting

confidence: 79%

“…The pressure-drop across monolithic (bulk) porous metals has been widely investigated, including studies reported in [1][2][3][4][5][6]. In many engineering systems, for low (laminar) flow velocities, the relationship between pressure-drop and airflow velocity is ably described by the Hazen-Darcy or Forchheimer equation [3,7,8].…”

Section: Introductionmentioning

confidence: 99%

Tailoring the pressure-drop in multi-layered open-cell porous inconel structures

Oun

Kennedy

2015

J Porous Mater

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“…It is clear that both values do not correspond accurately, however this has also been noted in literature, as shown in Table 1. One explanation for this discrepancy is the different range of flow rates for both data sets, which can have an influence on the values as previously described by Dukhan and Minjeur [27]. Also the developed OPCF RUCS model, based on a dodecahedron cell, has simplified the foam composition into regular pores.…”

Section: Discussionmentioning

confidence: 87%

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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“…Technical requirements on precise hydraulic measurements are very high [40][41][42]. Therefore, an elaborate setup was built for the stationary permeability measurements, to guarantee proper comparability between numerical and experimental permeabilities, see Fig.…”

Section: Permeability Measurement Set-upmentioning

confidence: 99%

Hydraulic properties of porous sintered glass bead systems

et al. 2017

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In this paper, porous sintered glass bead packings are studied, using X-ray Computed Tomography (XRCT) images at 16 µm voxel resolution, to obtain not only the porosity field, but also other properties like particle sizes, pore throats and the permeability. The influence of the sintering procedure and the original particle size distributions on the microstructure, and thus on the hydraulic properties, is analyzed in detail. The XRCT data are visualized and studied by advanced image filtering and analysis algorithms on to the extracted sub-systems (cubes of different sizes) to determine the correlations between the microstruc- Institute of Applied Mechanics (CE), University of Stuttgart, Pfaffenwaldring 7, 70569 Stuttgart, Germany ture and the measured macroscopic hydraulic parameters. Since accurate permeability measurements are not simple, special focus lies on the experimental set up and procedure, for which a new innovative multi-purpose cell based on a modular concept is presented. Furthermore, segmented voxel-based images (defining the microstructure) are used for 3D (three-dimensional) lattice Boltzmann simulations to directly compute some of the properties in the creeping flow regime. A very good agreement between experimental and numerical porosity and permeability could be achieved, in most cases, validating the numerical model and results. Porosity and permeability gradients along the sample height could be related to gravity acting during sintering. Furthermore, porosity increases in the outer zones of the samples due to the different contact geometry between the beads and the confining cylinder wall during sintering (which is replaced by a membrane during permeability testing to close these pores at the surface of the sample). The influence of different filters on the gray scale distributions and the impact of the segmentation procedure on porosity and permeability is systematically studied. The complex relationships and dependencies between numerically determined permeabilities and hydraulic influence parameters are investigated carefully. In accordance to the well-known Kozeny-Carman model, a similar trend for local permeability values in dependence on porosity and particle diameter is obtained. Other than statistical models, which estimate the pore throat distribution on the basis of the particle size distribution, in this study XRCT scans are used to determine the pore throats in sintered granular systems, which are finally linked to the intrinsic permeability through the lattice Boltzmann simulations. From the μXRCT analysis two distinct peaks in pore throat distributions could be identified, which can be clearly assigned to typical pore throat areas occurring in polydisperse granular systems. Moreover, a linear dependency between average pore throat diameter and porosity as well as between permeability and pore throat diameter is reported. Furthermore, almost identical mean values for porosity and permeability are found from sub-system and full-system REV analysis. For sintered granular...

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A two-permeability approach for assessing flow properties in metal foam

Cited by 69 publications

References 22 publications

Tailoring the pressure-drop in multi-layered open-cell porous inconel structures

Tailoring the pressure-drop in multi-layered open-cell porous inconel structures

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

Hydraulic properties of porous sintered glass bead systems

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