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Comparative Numerical Simulation of natural Convection in a Porous Horizontal Cylindrical Annulus
Jabrane BELABID1, a and Abdelkhalek CHEDDADI1, b
1Systèmes Thermiques et Ecoulements Réels, Ecole Mohammadia d’Ingénieurs, Université Mohammed V-Agdal, B.P. 765, Rabat, Morocco
[email protected], [email protected]
Keywords: Natural convection, porous medium, annular space, heat transfer.
Abstract. This work presents a numerical study of the natural convection in a saturated porous
medium bounded by two horizontal concentric cylinders. The governing equations (in the stream
function and temperature formulation) were solved using the ADI (Alternating Direction Implicit)
method and the Samarskii-Andreev scheme. A comparison between the two methods is conducted. In
both cases, the results obtained for the heat transfer rate given by the Nusselt number are in a good
agreement with the available published data.
Introduction
Natural convection in horizontal annular porous media has become a subject receiving increasing
attention due to its relevance in a wide variety of practical applications such as the insulation of
aircraft cabin or horizontal pipes, thermal storage system, underground cable systems, compact
cryogenic devices, gain storage in silos and nuclear waste repositories. The problem of natural
convection in a saturated porous medium bounded by two concentric, horizontal and isothermal
cylinders was investigated firstly by [1]. The regimes considered in this paper have been investigated
also by other authors in [2], [3], [4], [5, 6], [7], [8], [9] and [10].
This paper aims to present a numerical simulation of natural convection in a space confined between
two horizontal concentric cylinders, filled with a saturated porous medium and compare two
methods, namely the ADI method and the Samarskii-Andreev scheme.
Equations
Sketched in Fig. 1 is the physical system consisting in an annular geometry bounded by two long
concentric impermeable cylinders placed in a horizontal position. The inner cylinder of radius ri and
the outer cylinder of radius ro are both kept at uniform and constant temperatures Ti and To,
respectively, with Ti > To.
Fig. 1. Schematic of the problem
The porous medium is saturated by an incompressible Newtonian fluid. The polar coordinates are
used. Thus the basic equations for steady state natural convection with Oberbeck-Boussinesq
approximation are given as follows:
Applied Mechanics and Materials Vols. 670-671 (2014) pp 613-616 Submitted: 01.08.2014Online available since 2014/Oct/08 at www.scientific.net Accepted: 06.08.2014© (2014) Trans Tech Publications, Switzerlanddoi:10.4028/www.scientific.net/AMM.670-671.613
All rights reserved. No part of contents of this paper may be reproduced or transmitted in any form or by any means without the written permission of TTP,www.ttp.net. (ID: 130.207.50.37, Georgia Tech Library, Atlanta, USA-09/12/14,16:17:31)
∇. ∗ = 0. (1) ∗ = − ∇ ∗ − . (2) ∗∗ + ∗. ∇ ∗ = ∇ ∗. (3)
The asterisk (*) is used to designate the dimensional variables. We introduce the non-dimensional
variables as follows: =∗; =
∗; =
∗ ∗∗ ∗ ; =
∗ ; =
∗. The governing equations
reduce to the following:
∇. = 0. (4)
= −∇ − . (5)
+ . ∇ = ∇ . (6)
Where V is the adimensional velocity, K is the permeability, µ is the dynamic viscosity, ρ is the
density, a is the thermal diffusivity and T is the adimensional temperature. The equations Eq. 4, Eq. 5
and Eq. 6 in stream function formulation write:
∇ = − sin + . (7)
+ − = ∇ . (8)
ψ is the stream function defined by: = and = − . Where u and v are respectively the
radial and tangential adimensional velocities and r and ϕ are the polar coordinates. Ra is the
dimensionless Rayleigh number given by: = ∆. Where ν is the kinematic viscosity, βT is
the coefficient of thermal expansion and ∆T is the temperature difference. Another dimensionless
parameter of the problem is the aspect ratio: R = ro/ri.
The boundary conditions are handled as follows: r = 1: T = 1 and = 0; r = R: T = 0 and = 0.
The geometric symmetry of the problem studied leads to the addition of two new boundary
conditions: φ = 0, π: = 0 and = 0. The steady state average Nusselt number characterizes the
rate of heat transfer through the whole area. It is given by: = − ln .
Model validation
The governing equations are discretized using the Finite Difference Method with the Alternating
Direction Implicit (ADI) Scheme and the Samarski-Andreev algorithm. The two methods lead to
three diagonal systems of simultaneous equations. The algebraic systems were solved using the
Thomas Tridiagonal Matrix Algorithm. As the study is dedicated to steady-state regimes, the iteration
process is terminated when the following criterion is satisfied in each node of the
grid: ≤ 10 . Where χ refers to T or ψ and n denotes the iteration number performed.
Various flow regimes may develop depending on the initial conditions introduced in the
computations (Fig. 2). To qualify the method of solution, the program was validated by solving the
present convection problem in cases for which solutions are available in the literature. Table 1 shows
the average Nusselt number obtained by previous studies for monocellular flow regimes.
614 Applied Mechanics, Materials and Manufacturing IV
Fig. 2. Monocellular and bicellular flows for R=2 and Ra=120
Table 1. Comparison with literature. Nusselt number for R=2
Ra [4] [3] [11] [12] [5, 6] This study
ADI
This study
Samarskii-Andreev
50 1.341 1.335 1.342 1.362 1.344 1.3439 1.3440
100 1.861 1.844 1.835 1.902 --- 1.8686 1.8687
A good agreement is found between the present work and the literature. In order to guarantee grid
independent solutions, runs were performed in a high refined mesh.
Results and discussion
The comparison between both methods is conducted for monocellular flow regimes. The calculation
is done in a refined mesh of 61×901, respectively in r-ϕ directions. Table 2 shows the comparison for
aspect ratio R = 2 and 21/2 and different values of Rayleigh number, using the same adimensional time
step ∆t for both methods in the calculation. This table clarifies that Samarskii-Andreev method, in
this case, converges faster than the ADI one.
Table 2. Comparison between the ADI and Samarskii-Andreev methods
using the same ∆t=0.0001 for both methods
ADI Samarskii-Andreev
Ra R Nu ψmax CPU time Nu ψmax CPU time
30 2 1.1430 3.4618 174.0938 1.1434 3.4634 31.484
100 1.8686 9.9713 1024.20 1.8687 9.9716 194.125
30 21/2 1.0075 1.5289 248.0469 1.0075 1.5290 42.203
80 1.0512 4.0381 572.2031 1.0513 4.0383 94.312
Using the suitable adimensional time step for each method, Table 3 shows the values of Nu and ψmax
obtained by the codes developed in this work.
Table 3. Comparison between the ADI and Samarskii-Andreev methods
using suitable ∆t for each method
ADI Samarskii-Andreev
Ra R Nu ψmax CPU time Nu ψmax CPU time
20 2 1.0667 2.3384 24.375 1.0671 2.3395 26.437
200 2.6910 16.3145 844.234 2.6910 16.3145 1096.14
20 21/2 1.0033 1.0202 24.796 1.0034 1.0207 34.843
100 1.0782 5.0178 114.812 1.0783 5.0201 159.906
In this case, the results indicate that the ADI method converges faster than Samarskii-Andreev one.
Concerning the bifurcation point, no change is observed in the results given by the two methods. The
bifurcation point is represented by the critical value of the Rayleigh number Rac, under which only
the unicellular flow is obtained (Fig. 3).
Applied Mechanics and Materials Vols. 670-671 615
Fig. 3. Bifurcation point for R=2
Table 4 presents the bifurcation point obtained for different values of R. A good agreement is
observed between the results found and the already published data.
Table 4. Comparison with literature of critical Rayleigh number
This study
ADI
This study
Samarskii-Andreev
[5,6] [4] [10]
R =21/4 225.5 225.5 --- --- ---
R =21/2 112.4 112.4 111.5< Rac<112 ---- 112
R =22/3 86 86 --- --- ---
R =2 62.4 62.4 60.5< Rac <61.5 65.5±0.5 62
Conclusion
Natural convection heat transfer in a porous medium bounded by two horizontal, isothermal, and
concentric cylinders is studied numerically. This work based on a simulation using a finite difference
model has allowed us to compare the ADI method and the Samarskii-Andreev one. Computations for
different initial conditions show that the ADI method is faster if we use the suitable time step ∆t.
References
[1] J. P. Caltagirone: Journal of Fluid Mechanics Vol. 65 (1976), p. 337
[2] J. P. Burns, C. L. Tien: International Journal of Heat and Mass Transfer Vol. 22 (1979), p. 929
[3] H. H. Bau: Journal of Heat Transfer Vol. 106 (1984), p. 166
[4] Y. F. Rao, K. Fukuda and S. Hasegawa: Journal of Heat Transfer Vol. 109 (1987), p. 919
[5] M. C. Charrier-Mojtabi, A. Mojtabi, M. Azaiez, G. Labrosse: International Journal of Heat and
Mass Transfer Vol. 34 (1991), p. 3061
[6] M. C. Charrier-Mojtabi: Int. Journal of Heat and Mass Transfer Vol. 40 (1997), p. 1521
[7] K. Khanafer, A. Al-Amiri, I. Pop: Int. J. of Heat and Mass TransferVol. 51 (2008), p. 1613.
[8] Z. Alloui, P. Vasseur: Computational Thermal Sciences Vol. 3 (2011), p. 407.
[9] M. Kumari, G. Nath: International Journal of Heat and Mass Transfer Vol. 51 (2008), p. 500
[10] K. Himasekhar and H. H. Bau: Journal of Fluid Mechanics Vol. 187 (1988), p. 267
[11] G. N. Facas: Numerical Heat Transfer Vol. 27 (1995), p. 595
[12] G. N. Facas and B. Farouk: J. Heat Transfer Vol. 105 (1983), p. 660
616 Applied Mechanics, Materials and Manufacturing IV
Applied Mechanics, Materials and Manufacturing IV 10.4028/www.scientific.net/AMM.670-671 Comparative Numerical Simulation of Natural Convection in a Porous Horizontal Cylindrical Annulus 10.4028/www.scientific.net/AMM.670-671.613
DOI References
[1] J. P. Caltagirone: Journal of Fluid Mechanics Vol. 65 (1976), p.337.
http://dx.doi.org/10.1017/S0022112076000669 [2] J. P. Burns, C. L. Tien: International Journal of Heat and Mass Transfer Vol. 22 (1979), p.929.
http://dx.doi.org/10.1016/0017-9310(79)90033-4 [3] H. H. Bau: Journal of Heat Transfer Vol. 106 (1984), p.166.
http://dx.doi.org/10.1115/1.3246630 [4] Y. F. Rao, K. Fukuda and S. Hasegawa: Journal of Heat Transfer Vol. 109 (1987), p.919.
http://dx.doi.org/10.1115/1.3248204 [5] M. C. Charrier-Mojtabi, A. Mojtabi, M. Azaiez, G. Labrosse: International Journal of Heat and Mass
Transfer Vol. 34 (1991), p.3061.
http://dx.doi.org/10.1016/0017-9310(91)90076-Q [6] M. C. Charrier-Mojtabi: Int. Journal of Heat and Mass Transfer Vol. 40 (1997), p.1521.
http://dx.doi.org/10.1016/S0017-9310(96)00227-X [7] K. Khanafer, A. Al-Amiri, I. Pop: Int. J. of Heat and Mass TransferVol. 51 (2008), p.1613.
http://dx.doi.org/10.1016/j.ijheatmasstransfer.2007.07.050 [8] Z. Alloui, P. Vasseur: Computational Thermal Sciences Vol. 3 (2011), p.407.
http://dx.doi.org/10.1615/ComputThermalScien.2011003541 [9] M. Kumari, G. Nath: International Journal of Heat and Mass Transfer Vol. 51 (2008), p.500.
http://dx.doi.org/10.1016/j.ijheatmasstransfer.2008.01.030 [10] K. Himasekhar and H. H. Bau: Journal of Fluid Mechanics Vol. 187 (1988), p.267.
http://dx.doi.org/10.1017/S0022112088000424 [11] G. N. Facas: Numerical Heat Transfer Vol. 27 (1995), p.595.
http://dx.doi.org/10.1080/10407789508913720 [12] G. N. Facas and B. Farouk: J. Heat Transfer Vol. 105 (1983), p.660.
http://dx.doi.org/10.1115/1.3245638