Jtam-A4.dvi JOURNAL OF THEORETICAL AND APPLIED MECHANICS 51, 1, pp. 53-61, Warsaw 2013 ON THE EFFECTIVENESS OF VARIATION OF PHYSICAL VARIABLES ON STEADY FLOW BETWEEN PARALLEL PLATES WITH HEAT TRANSFER IN A POROUS MEDIUM Hazem Ali Attia El-Fayoum University, Faculty of Engineering, El-Fayoum, Egypt e-mail: ah1113@yahoo.com Mostafa A.M. Abdeen Cairo University, Faculty of Engineering, Giza, Egypt e-mail: mostafa a m abdeen@hotmail.com The effect of variation of physical variables on a steady flow through a porousmediumwith heat transfer betweenparallel plates is examined.Theviscosityand the thermal conductivity are assumed to be temperature dependent. A constant pressure gradient is applied in the axial direction and the twoplates are kept at two constant but different temperatures, while the viscous dissipation is considered in the energy equation. A numerical solution for the governingnon-linearcoupledequationsofmotionandtheenergyequation isdetermined.The effect of porosity of themedium, the variable viscosity, and the variable thermal conductivity on both the velocity and temperature distributions is reported. Key words: variable properties, porous medium, heat transfer, parallel plates, steady state List of symbols a,b – viscosity and thermal conductivity parameter cp – specific heat at constant pressure Ec,Pr – Eckert and Prandtl number k – thermal conductivity K – Darcy permeability P – pressure gradient M – porosity parameter T – temperature of fluid T1,T2 – temperature of lower and upper plate u – velocity component in x-direction v – velocity of fluid x,y – axial and distance in vertical direction µ,ρ – viscosity and density of fluid 1. Introduction The flow between infinite horizontal parallel plates has received great attention due to its ap- plications in magnetohydrodynamic (MHD) power generators and pumps, etc. Hartmann and Lazarus (1937) examined the effect of a transverse uniform magnetic field on the flow of a vi- scous incompressible electrically conducting fluid between two infinite parallel plates. Analytical solutions for the velocity fields were developed by Tao (1960), Alpher, 1961, Sutton and Sher- man (1965), Cramer and Pai (1973) under different physical effects. Some exact and numerical 54 H.A. Attia, M.A.M. Abdeen solutions for the heat transfer problemwere obtained inNigam and Singh (1960). Soundalgekar et al. (1970), Soundalgekar and Uplekar (1986) studied the effect of Hall currents on the steady MHDCouette flowwith heat transfer. The temperatures of the two plates were assumed either to be constant (Soundalgekar et al., 1970) or linearly varying along the plates in the direction of the flow (Soundalgekar and Uplekar, 1986). Attia (1998) studied the Hall current effects on the velocity and temperature fields of an unsteady Hartmann flow with uniform suction and injection. Most of these studies were based on constant physical properties, however more accurate prediction for the flow and heat transfer can be obtained considering the dependence of the physical properties on temperature (Herwig and Wicken, 1986). Klemp et al. (1990) examined the influence of temperature dependent viscosity on the entrance flow in a channel in the hydro- dynamic case. Attia and Kotb (1996) handled the steady MHD fully developed flow and heat transfer between two parallel plates with temperature dependent viscosity which was extended to the transient state byAttia (1999). The effect of variation in physical properties in theMHD Couette flow between parallel plates was studied by Joaqúın et al. (2010), Eguia et al. (2011). In this paper, the steady flow of a viscous incompressible fluid with heat transfer through a porousmedium is examined.Theflow in the porousmediumdealswith the analysis inwhich the governing differential equations are based on Darcy’s law which accounts for the drag exerted by the porous medium (Joseph et al., 1982; Ingham and Pop, 2002; Khaled and Vafai, 2003). The viscosity and the thermal conductivity are assumed to change with temperature. The two plates are kept at two constant but different temperatures, and a constant pressure gradient is applied in the axial direction. The coupled nonlinear system of equations of motion and energy equation including the viscous dissipation is solved numerically using finite differences to obtain the velocity and temperature distributions. 2. Formulation of the problem The fluid is flowing between two infinite parallel plates located at the y =±h planes through a porousmediumwhere the Darcy model is assumed (Khaled and Vafai, 2003). The two plates are kept at two constant temperatures T1 for the lower plate and T2 for the upper plate with T2 >T1, and a constant pressure gradient is applied in the x-direction. The viscosity of the fluid is assumed to vary with temperature exponentially, while the thermal conductivity is assumed to depend on temperature linearly. The flow of the fluid is governed by the Navier-Stokes equation ρ(v ·∇v)=−∇P +∇· (µ∇v)+ fb (2.1) where v is the velocity vector, P is the pressure, µ is the viscosity of the fluid, and fb is the body force per unit volume. Using Eq. (2.1) the component of theNavier-Stokes equation in the x-direction is given by − dP dx + d dy ( µ du dy ) − µ K u=0 (2.2) where K is theDarcy permeability (Khaled andVafai, 2003). Theno-slip condition at the plates implies that y=−h :u=0 y=h :u=0 (2.3) The energy equation for the fluid considering the viscous dissipation is given by Ingham and Pop (2002) 1 ρcp [ d dy ( k dT dy ) +µ (du dy )2] =0 (2.4) On the effectiveness of variation of physical variables... 55 where T is the temperature of the fluid, cp is the specific heat at constant pressure of the fluid, and k is the thermal conductivity of the fluid. The last term in the left side of Eq. (2.4) represents the viscous dissipation respectively. The temperature of the fluidmust satisfy the boundary conditions T =T1 y=−h and T =T2 y=h (2.5) The viscosity of the fluid is assumed to vary with temperature in the form µ = µof1(T), and µo is the viscosity of the fluid at T = T1. By assuming the viscosity to vary exponentially with temperature, the function f1(T) takes the form f1(T) = exp(−a1(T −T1)), see Klemp et al. (1990), White (1991). The thermal conductivity of the fluid varies with temperature as k = kof2(T), where ko is the thermal conductivity of the fluid at T = T1. We assume a linear dependence for the thermal conductivity with temperature in the form k= ko(1+ b1(T −T1)) (Klemp et al., 1990;White, 1991), where the parameter b1may be positive or negative (Klemp et al., 1990; White, 1991). Introducing the following non-dimensional quantities ŷ= y h P̂ = Pρh2 µ2o û= uρh µo T̂ = T −T1 T2−T1 α=− dP̂ dx̂ and f̂1(T)= exp(−a1(T2−T1)T)= exp(−aT), a is the viscosity parameter, f̂2(T)= 1+ b1(T2−T1)T =1+ bT , b is the thermal conductivity parameter, M =µoh 2/K is the porosity parameter, Pr=µocp/ko is the Prandtl number, Ec=µ2o/[h 2cpρ 2(T2−T1)] is the Eckert number, τL =(∂û/∂ŷ)ŷ=−1 is the axial skin friction coefficient at the lower plate, τU =(∂û/∂ŷ)ŷ=1 is the axial skin friction coefficient at the upper plate, NuL =(∂T/∂ŷ)ŷ=−1 is the Nusselt number at the lower plate, NuU =(∂T/∂ŷ)ŷ=1 is the Nusselt number at the upper plate. Equations (2.3) to (2.5) read (the hats are dropped for simplicity) α+f1(T) d2u dy2 + df1(T) dy du dy −f1(T)Mu=0 (2.6) y=−1 u=0 and y=1 u=0 (2.7) 1 Pr f2(T) d2T dy2 + 1 Pr df2(T) dy dT dy +Ecf1(T) (du dy )2 =0 (2.8) T =0 y=−1 and T =1 y=1 (2.9) Equations (2.6) and (2.8) represent a coupled system of non-linear ordinary differential equ- ations which are solved numerically under boundary conditions (2.7) and (2.9) using finite dif- ferences. A linearization technique is first applied to replace the nonlinear terms at a linear stage, with corrections incorporated in subsequent iterative steps until convergence is reached. Then the Crank-Nicolson implicit method is applied and an iterative scheme is used to solve the linearized system of difference equations. The resulting block tri-diagonal system is solved using the generalized Thomas-algorithm (Ames, 1977). Finite difference equations relating the variables are obtained by writing the equations at the mid point of the computational cell and then replacing the different terms by their second order central difference approximations in the y-direction. The computational domain is divided intomeshes each of dimension ∆y.We define the variables v= du/dy and H = dT/dy to reduce the second order differential Eqs. (2.6) and 56 H.A. Attia, M.A.M. Abdeen (2.8) to first order differential equations. The finite difference representations for the resulting first order differential take the form α+ f1(T)i+1+f1(T)i 2 vi+1−vi ∆y + f1(T)i+1−f1(T)i ∆y ui+1−ui 2 −M f1(T)i+1+f1(T)i 2 ui+1−ui 2 =0 1 Pr f2(T)i+1+f2(T)i 2 Hi+1−Hi ∆y + 1 Pr f2(T)i+1−f2(T)i ∆y Hi+1+Hi 2 +Ec f1(T)i+1+f1(T)i 2 vi+1+vi 2 vi+1+vi 2 =0 (2.10) The variables with bars are given initial guesses. The linearized system of difference equations represents a banded matrix that can be solved by different methods. One of the very powerful methods to solve this system is the Thomas algorithm which has the advantage of reducing memory storage and computational time. Equations (2.10) can bewritten in the following form a1ui+a2ui+1+a3vi+a4vi+1+a5Ti+a6Ti+1 = a7 b1Ti+ b2Ti+1+ b3Hi+ b4Hi+1+ b5ui+ b6ui+1 = b7 (2.11) where the a’s and b’s are the coefficients of the difference equations. We set the following diffe- rence equations for evaluating the unknowns u, v, T ,H ui =uivi+ ũiHi+ ûi Ti =T ivi+ T̃iHi+ T̂i vi = vi+1vi+1+ ṽi+1Hi+1+ v̂i+1 Hi =Hi+1vi+1+ H̃i+1Hi+1+ Ĥi+1 (2.12) where ui, ũi, ûi, Ti, T̃i, T̂i, vi, ṽi, v̂i, Hi, H̃i, Ĥi are the Thomas coefficients. The equations relating the velocity and temperature to their derivatives using Eq. (2.12) are given as ui+1 = ( ui+ ∆ 2 ) vi+ ũiHi+ ∆ 2 vi+1+ ûi Ti+1 =T ivi+ ( T̃i+ ∆ 2 ) Hi+ ∆ 2 Hi+1+ T̂i (2.13) Substituting Eqs. (2.12) and (2.13) into Eqs. (2.11) and solving the resulting equations for the unknown coefficients in Eqs. (2.12)3,4, we obtain vi+1 = ℓ31h2−h31l2 l1h2− l2h1 ṽi+1 = ℓ32h2−h32l2 l1h2− l2h1 v̂i+1 = ℓ33h2−h33l2 l1h2− l2h1 Hi+1 = h31ℓ1−h31h1 l1h2− l2h1 H̃i+1 = h32ℓ1− ℓ32h1 l1h2− l2h1 Ĥi+1 = h33ℓ1− ℓ33h1 l1h2− l2h1 where l1 = a1ui+a2 ( ui+ ∆ 2 ) +a3+(a5+a6)T i l2 =(a1+a2)ũi+a5T̃i+a6 ( T̃i+ ∆ 2 ) +a7 l31 =− ( a2 ∆ 2 +a4 ) l32 =− ( a6 ∆ 2 +a8 ) l33 = a9− (a1+a2)ûi− (a5+a6)T̂i h1 = b5ui+ b6 ( ui+ ∆ 2 ) + b7+(b1+ b2)T i h2 =(b5+ b6)ũi+b1T̃i+ b2 ( T̃i+ ∆ 2 ) + b3 h31 =− ( b6 ∆ 2 + b8 ) h32 =− ( b2 ∆ 2 + b4 ) h33 = b9− (b5+ b6)ûi− (b1+ b2)T̂i On the effectiveness of variation of physical variables... 57 ThenEqs. (2.13) can be used to determine the rest of the unknown coefficients in Eqs. (2.12)1,2. Computation of the coefficients starts from the lower plate (y = −1) with known boundary conditions for both the velocity and temperature problems and proceeds up to the upper plate (y=1). Consequently, the computation of the unknown functions is done from the upper plate up till the lower one. In this study, computations have been carried out for α = 5, Pr = 1 and Ec = 0.2. Grid- independence studies show that the computational domain −1 < y < 1 can be divided into intervals with the step size ∆y=0.005. Smaller step sizes do not show any significant change in the results. Convergence of the scheme is assumedwhen all of the unknowns u, v, T and H for the last two approximations differ fromunityby less than 10−6 for all values of y in −1