Abstract
The modeling of flow and heat transfer in porous media systems has always been a challenge, and the extended Darcy transport models are used for macro-level analysis. However, these models are subjected to the limitations depending upon the porous geometry such as pore size, pore type, effective porosity, tortuosity, permeability, and the flow characteristics. The forced convective flow of an incompressible viscous fluid through a channel filled with four different types of porous geometries constructed using the Triply Periodic Minimal Surface (or TPMS) model is presented in this study. Four TPMS lattice shapes, namely Diamond, I-WP, Primitive, and Gyroid, are created with same volume fraction of solid subdomain as 0.68 (or void fraction as 0.32). Using different configurations for the solid subdomain by treating it as (a) solid, (b) fluid, and (c) porous zone, three different classes of porous structures are further generated for each TPMS lattice. The present study is executed with the objective to investigate the effect of shape–morphology, tortuosity, microporosity, and effective porosity on permeability and inertial drag factor. A pore-scale direct numerical simulation approach is performed for the first two types of porous media by solving the Navier–Stokes equations. The specific microporosity is quantitatively induced in the solid subdomain where Darcy–Forchheimer equation is solved, whereas the Navier–Stokes equations are solved for the void subdomain in the third type of porous media. The results reveal that Darcy flow regime exists up to the mean velocity value of U < 0.0025 m/s (Re < 10) for all the cases discussed here, and it deviates at the higher mean velocity. The conductance to the flow shown by Darcy number has the maximum and minimum values for the Primitive Type 2 and I-WP Type 1 cases. The inertial drag coefficient is minimum in Diamond lattice and maximum in Primitive lattice at lower porosity (0.32), while Primitive lattice has minimum and I-WP lattice has maximum value of inertial drag coefficient for higher porosity (~ 1).
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Abbreviations
- a :
-
Unit cell size in x direction (m)
- a sf :
-
Specific interfacial area (m−1)
- A :
-
Cross-sectional area \((A = L^{2})\) (m2)
- b :
-
Unit cell size in y direction (m)
- c :
-
Unit cell size in z direction (m)
- C :
-
Level-set constant
- d p :
-
Pore or particle size (m)
- Da:
-
Darcy number \(\left(Da = \frac{K}{{L^{2} }}\right)\)
- K :
-
Permeability (m2)
- L :
-
Channel width or characteristic length (m)
- l :
-
Pore length scale (m)
- \(\dot{m}\) :
-
Mass flow rate (kg/s)
- n :
-
Normal distance from the surface (m)
- p :
-
Pore level pressure (Pa)
- P :
-
Average pressure (Pa)
- Re:
-
Channel size-based Reynolds number \(\left(\frac{\rho UL}{\mu }\right)\)
- Rep :
-
Pore-scale-based Reynolds number \(\left(\frac{\rho Ul}{\mu }\right)\)
- ReK :
-
Brinkman-scale-based Reynolds number \(\left(\frac{\rho U\sqrt K }{\mu }\right)\)
- u :
-
Pore level velocity in x direction (m/s)
- v :
-
Pore level velocity in y direction (m/s)
- w :
-
Pore level velocity in z direction (m/s)
- U :
-
Mean velocity in x direction (m/s)
- V :
-
Mean velocity in y direction (m/s)
- V f :
-
Volume of void subdomain (fluid zone) (m3)
- V s :
-
Volume of solid subdomain (m3)
- W :
-
Mean velocity in z direction (m/s)
- x :
-
X-Direction distance (m)
- y :
-
Y-Direction distance (m)
- z :
-
Z-Direction distance (m)
- X :
-
Lattice size in x direction (m)
- Y :
-
Lattice size in y direction (m)
- Z :
-
Lattice size in z direction (m)
- α :
-
Coefficient of cubic term
- β :
-
Coefficient of quadratic term
- ɛ :
-
Porosity
- ɛ o :
-
Porosity of the lattice
- ɛ * :
-
Micro-porosity
- ɛ eff :
-
Effective porosity of the lattice
- µ :
-
Dynamic viscosity of the fluid (kg/m-sec)
- µ * :
-
Effective viscosity of porous medium (kg/m-sec)
- \(\rho\) :
-
Density of the fluid (kg/m3)
- \(\tau\) :
-
Tortuosity
- solid:
-
Property of solid subdomain in the lattice
- void:
-
Property of void subdomain in the lattice
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Acknowledgements
The first two authors Surendra Singh Rathore and Balkrishna Mehta would like to acknowledge the Indian Institute of Technology Bhilai for providing the computational and other peripheral resources through the institute research initiation grant.
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Appendix
Appendix
See Appendix Tables
10 and
11.
1.1 Equation for Momentum Conservation in porous media
-
a.
Darcy model (for low flow rates, \({\mathrm{Re}}_{p}\ll 1\))
$$\nabla p = - \frac{\mu }{K}\vec{V}$$(14) -
b.
Extended Darcy model (for intermediate to high flow rates)
$$\nabla p = - \frac{\mu }{K}\vec{V} - \frac{\rho \beta }{{\sqrt K }}\vec{V}\left| {\vec{V}} \right| - \frac{{\alpha \rho^{2} }}{\mu }\vec{V}\left| {\vec{V}} \right|^{2} \,\,\,\,\,\,\,\,(R{\text{e}}_{{\text{p}}} { > 1)}$$(15) -
c.
Brinkman extended Darcy model (for higher flow rates and high porosity, \(\varepsilon \to 1\))
$$\nabla p = - \frac{\mu }{K}\vec{V} - \frac{\rho \beta }{{\sqrt K }}\vec{V}\left| {\vec{V}} \right| - \frac{{\alpha \rho^{2} }}{\mu }\vec{V}\left| {\vec{V}} \right|^{2} + \mu^{*} \nabla^{2} \vec{V}$$(16)
In Eq. (16), \({\mu }^{*}\) is the effective viscosity of the porous medium and some important relations between the porosity and effective viscosity are mentioned in Table 10.
1.2 Calculation of Tortuosity
Tortuosity is calculated by taking two points in the direction of the flow and measuring actual length of flow path (length of fluid trajectory) and minimum length (length of straight line) between these two points. It is then defined as below:
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Rathore, S.S., Mehta, B., Kumar, P. et al. Flow Characterization in Triply Periodic Minimal Surface (TPMS)-Based Porous Geometries: Part 1—Hydrodynamics. Transp Porous Med 146, 669–701 (2023). https://doi.org/10.1007/s11242-022-01880-7
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DOI: https://doi.org/10.1007/s11242-022-01880-7