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Transport in Porous Media

, Volume 122, Issue 1, pp 185–201 | Cite as

Prediction of Local Losses of Low Re Flows in Non-uniform Media Composed of Parrallelpiped Structures

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Abstract

A method is presented to predict the local losses of low Re flow through a porous matrix composed of layers of orthogonally oriented parallelepipeds for which the local geometry varies discreetly in the direction of bulk flow. In each layer, the variations in the pore lengths perpendicular to and parallel to the direction of bulk flow are restricted to be proportional to one another so that the variation in the geometry of each layer may be characterized by a single parameter, \(\beta \). The solutions to the Navier–Stokes equations are determined for flows through geometries that vary in a forward expansion about this parameter. These provide the data used in the development of a correlation that is able to directly relate local hydraulic permeability to the variation in local pore geometry. In this way, the local pressure losses (as well as the relationship between the volumetric flow rate and the total pressure drop) may be determined without requiring the explicit solution of the entire flow field. Test cases are presented showing that the correlation predicts the local pressure losses to be within 0.5% of the losses determined from the numerical solution to the Navier–Stokes equations. When the magnitude of the variation to the geometry is such that the change in the parameter \(\beta \) between layers is constant throughout the medium, a reduced form of the correlation (requiring the evaluation of only three constants) is able to provide predictions of flow rate and interface pressures that agree to within about 1% with the results of the numerical solutions to the Navier–Stokes equations.

Keywords

Permeability prediction Correlation Darcy flow Parallelpiped Deterministic model 

List of symbols

\(\beta \)

Variation parameter

\(\Delta \beta ^{+}\)

Downstream change in variation parameter

\(\Delta \beta ^{+}\)

Upstream change in variation parameter

\(\mu \)

Fluid viscosity

\(\nu \)

Ratio of lateral variation to longitudinal variation

\(A_\mathrm{T} \)

Total cross-sectional area (void plus solid)

\(\ell \)

Lateral side length scale associated with the solid matrix

L

Side length corresponding to layer height

\(L_0 \)

Unperturbed side length corresponding to layer height

\(\Delta L\)

Difference between the unperturbed layer height and the perturbed layer height

K

Permeability

N

Number of layers

\(\Delta P\)

Difference in average pressure

\(\Delta P_\mathrm{T} \)

Difference in average total pressure

Q

Volumetric flow rate (in the direction of bulk flow)

U

Seepage velocity

Subscript

i

Layer number

References

  1. Azzam, M.I.S., Dullien, F.A.L.: Flow in tubes with periodic step changes in diameter: a numerical solution. Chem. Eng. Sci. 32(12), 1445–1455 (1977)CrossRefGoogle Scholar
  2. Balankin, A.S., Valdivia, J.-C., Marquez, J., Susarrey, O., Solorio-Avila, M.A.: Anomalous diffusion of fluid momentum and Darcy-like law for laminar flow in media with fractal porosity. Phys. Lett. A 380(35), 2767–2773 (2016)CrossRefGoogle Scholar
  3. Barrer, R.M., Petropoulos, J.H.: Diffusion in heterogeneous media: lattices of parallelepipeds in a continuous phase. Br. J. Appl. Phys. 12(12), 691–697 (1961)CrossRefGoogle Scholar
  4. Dullien, F.A.L., Azzam, M.I.S.: Effect of geometric parameters on the friction factor in periodically constricted tubes. AIChE J. 19(5), 1035–1036 (1973)CrossRefGoogle Scholar
  5. Dullien, F.A.L.: Porous Media: Fluid Transport and Pore Structure. Academic Press, San Diego (1992)Google Scholar
  6. Dullien, F.A.L., Azzam, M.I.S.: Comparison of pore size as determined by mercury porosimetry and by miscible displacement experiment. Ind. Eng. Chem. Fundam. 15(2), 147–147 (1976)CrossRefGoogle Scholar
  7. Dullien, F.A.L., Elsayed, M.S., Batra, V.K.: Rate of capillary rise in porous-media with nonuniform pores. J. Colloid Interface Sci. 60(3), 497–506 (1977)CrossRefGoogle Scholar
  8. Goyeau, B., Benihaddadene, T., Gobin, D., Quintard, M.: Averaged momentum equation for flow through a nonhomogeneous porous structure. Trans. Porous Med. 28(1), 19–50 (1997)CrossRefGoogle Scholar
  9. Goyeau, B., Gobin, D., Benihaddadene, T., Gobin, D., Quintard, M.: Numerical calculation of the permeability in a dendritic mushy zone. Metal. Mater. Trans. B 30(4), 613–622 (1999)CrossRefGoogle Scholar
  10. Mathieu-Potvin, F., Gosselin, L.: Impact of non-uniform properties on governing equations for fluid flows in porous media. Transp. Porous Med. 105(2), 277–314 (2014)CrossRefGoogle Scholar
  11. Mazaheri, A.R., Zerai, B., Ahmadi, G., Kadambi, J.R., Saylor, B.Z., Oliver, M., Bromhal, G.S., Smith, D.H.: Computer simulation of flow through a lattice flow-cell model. Adv. Water Resour. 28(12), 1267–1279 (2005)CrossRefGoogle Scholar
  12. Munro, B., Becker, S., Uth, M.F., Preusser, N., Herwig, H.: Fabrication and characterization of deformable porous matrices with controlled pore characteristics. Transp. Porous Med. 107(1), 79–94 (2015)CrossRefGoogle Scholar
  13. Nield, D.A., Bejan, A.: Convection in Porous Media. Springer, New York (2013)CrossRefGoogle Scholar
  14. Tehlar, D., Flückiger, R., Wokaun, A., Büchi, F.N.: Investigation of channel-to-channel cross convection in serpentine flow fields. Fuel Cells 10(6), 1040–1049 (2010)CrossRefGoogle Scholar
  15. Vafai, K.: Convective flow and heat transfer in variable-porosity media. J. Fluid Mech. 147(1), 233–259 (1984)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of CanterburyChristchurchNew Zealand

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