• Tidak ada hasil yang ditemukan

The objectives of this study are as follows:

1. To determine the effects of Dufour and Soret parameters on the linear stability of double-diffusive convection in a Maxwell fluid, Awad et al. (2010). In order to achieve this goal, we proceeded as follows,

(i) We extended and addressed the weaknesses in Wang and Tan (2008) who used the Darcy-Maxwell model to study double-diffusive convection in a heated fluid. This model is only valid for a dense porous medium so that the variation in the velocity is negligible. At higher flow rates inertial

23

effects become important. In this study we addressed the shortcomings of the Darcy-Maxwell model by using the modified Darcy-Brinkman-Maxwell model.

(ii) We obtained the critical Darcy-Rayleigh number, wave number and the frequency for the onset of stationary and oscillatory convection.

2. To study the flow of a micropolar fluid through a channel subject to Dufour and Soret effects, Awad and Sibanda (2010). This investigation aims to:

(i) Construct analytical solutions for the highly non-linear governing (mo- mentum, energy and concentration) equations by applying the homotopy analysis method.

(ii) Characterize the influence of Dufour and Soret parameters on the fluid properties.

3. To construct a new and more efficient modification of the homotopy analysis method (see Motsa et al. 2010a). The computational efficiency and convergence rates of the new method are investigated via the solution of the MHD Jeffery- Hamel problem for a convergent/divergent channel. The accuracy of the SHAM is determined through comparison with, among other methods, the standard homotopy analysis method.

4. To study fluid flow over an inverted cone in the presence of Dufour and Soret effects (Awad et al. 2011a,b). This is achieved as follows:

(i) In the first instance we study the effects of cross-diffusion on the skin- friction and on the heat and the mass transfer coefficients.

(ii) Subsequently we compare the results obtained using various methods (such as the shooting method, the SLM, and bvp4c in Matlab) to determine the accuracy of the SLM.

24

5. To investigate cross-diffusion effects and radiative heat transfer on fluid flow over a semi-infinite plate in a porous medium. This is achieved through:

(i) Using the novel successive linearisation method (SLM) to solve the sys- tem of non-linear equations that describe the fluid motion, heat and mass transfer.

(ii) Examining the accuracy and reliability of the SLM by comparing its per- formance and general reliability with results obtained using other standard numerical methods.

6. To test the accuracy, computational efficiency and general validity of recent semi-numerical techniques in solving systems of highly non-linear differential equations that arise in fluid flow problems. The methods tested include the HAM, the SHAM and the SLM. Validation is achieved through comparison of solutions with numerical methods such as the shooting technique, the Matlab bvp4c solver and the Keller-box method.

25

Chapter 2

On the linear stability analysis of a Maxwell fluid with double-diffusive convection

26

On the linear stability analysis of a Maxwell fluid with double-diffusive convection

F.G. Awada, P. Sibandaa,*, Sandile S. Motsab

aSchool of Mathematical Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville 3209, Pietermaritzburg, South Africa

bMathematics Department, University of Swaziland, Private Bag 4, Kwaluseni, Swaziland

a r t i c l e i n f o

Article history:

Received 10 July 2009

Received in revised form 28 January 2010 Accepted 12 February 2010

Available online 3 March 2010

Keywords:

Maxwell fluid Porous media Soret and Dufour effect Overstability

Critical Rayleigh number

a b s t r a c t

The problem of double-diffusive convection and cross-diffusion in a Maxwell fluid in a hor- izontal layer in porous media is re-examined using the modified Darcy–Brinkman model.

The effect of Dufour and Soret parameters on the critical Darcy–Rayleigh numbers is inves- tigated. Analytical expressions of the critical Darcy–Rayleigh numbers for the onset of sta- tionary and oscillatory convection are derived. Numerical simulations show that the presence of Dufour and Soret parameters has a significant effect on the critical Darcy–Ray- leigh number for over-stability. In the limiting case some previously published results are recovered.

Ó2010 Elsevier Inc. All rights reserved.

1. Introduction

In most applications of practical and technological interest (for example, the study of binary mixtures such as polymeric liquids and melts, glass forming systems, etc.) viscoelastic rather than Newtonian fluids are appropriate for modelling nat- ural phenomena[1,2]. Although many models of non-Newtonian fluids (such as the Oldroyd and Jeffreys models) have been suggested in the literature, the simplest model that takes into account the stress tensor relaxation is the Maxwell viscoelastic model[3,4]. The Maxwell model is capable of describing stress relaxation effects and has been applied to problems having small dimensionless relation time[1]. However, the model does not fully account for the elasticity of the fluid and typically fails to predict retardation effects as it lacks the retardation time scale that characterize other viscoelastic models such as Jeffreys model[1,3,5,6]. Some of the most recent contributions in this area include those of Hayat et al.[1,2,7–9], Fetecau and Fetecau[10–13]and Wang and Tan[14,15]. The recent study by Sekhar and Jayalatha[16]considered the linear stability analysis of Maxwell, Rivlin-Ericksen and Jeffreys liquids with temperature-dependent viscosity using the Galerkin technique.

Convection in viscoelastic fluids is generally characterized by two states: stationary convection and an oscillatory state that exists for certain values of the fluid parameters and can, for example, be observed experimentally in the form of trav- elling or standing waves[3,5,17,18]and the references therein. In the past few decades increasing research attention has been given to double-diffusive convection in a horizontal layer induced by vertical temperature and solute concentration gradients in a porous medium. The interest in this area stems from the fact that such convection arises in a wide range of settings, such as the transport of solutes in water-saturated soils, food processing, the transport of chemicals in packed- bed reactors, etc. An extensive literature review on this subject can be found in recent books by Nield and Bejan[19]and by Pop and Ingham[20].

0307-904X/$ - see front matterÓ2010 Elsevier Inc. All rights reserved.

doi:10.1016/j.apm.2010.02.038

*Corresponding author. Tel.: +27 33 260 5626; fax: +27 33 260 5648.

E-mail address:[email protected](P. Sibanda).

Contents lists available atScienceDirect

Applied Mathematical Modelling

j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / a p m

Early results on the linear stability analysis of convection in viscoelastic fluids can be found in[3,21]. One of the earliest studies on double-diffusive convection was by Nield[22]who presented a linear stability analysis of convection in viscoelas- tic fluids in porous media. Subsequently, many studies on double-diffusive convection flow in porous media, heated or salted from below have appeared, for example, Poulikakos[23], Malashetty and Wadi[24]and Taslim and Narsuswa[25]have investigated the onset of double-diffusive convection in a Newtonian fluid. Interesting results on the linear stability analysis of viscoelastic flows have been obtained by Capuani et al.[26], Hayat et al.[9], Masuoka et al.[27], Tan and Masuoka[28], Vafai[29], Wang and Tan[14]and Younes[30]. In most of these studies, the Dufour (diffusion-thermo) and Soret (thermal- diffusion) effects were ignored on the basis of the often repeated mantra that these are of a smaller magnitude compared with the effects described by Fourier and Fick’s laws. It is however known that there are exceptions when Dufour and Soret effects cannot be ignored, see for instance Kafoussias and Williams[31]and the references therein.

A numerical study of the Dufour and Soret effects on mixed convection flow past a semi-infinite vertical flat plate embed- ded in a porous medium was made by Alam and Rahman[32]using the Brinkman model. They found that wall suction re- duces the boundary layer velocity, the thermal as well as the solute concentration growth. The Dufour and Soret effects in the context of the Darcy model were introduced by Motsa[33]when he investigated double-diffusive convection in a hor- izontal layer. He used linear stability analysis to quantify the effects of the Dufour and Soret parameters on the critical Ray- leigh number for the onset of double-diffusive convection. In Qin and Kaloni[34], a discussion of the existence of a weak solution, via a variational formulation of a steady convection flow problem in a porous medium governed by the Darcy–

Brinkman model is given.

Wang and Tan[14]used the Darcy–Maxwell model to study double-diffusive convection in a heated Maxwell fluid. Their model is described by the equation

l

Kv¼ 1þk@t@

ðrpþqgÞ; ð1:1Þ

wherev¼ ðu;v;is the Darcian velocity,qdenotes the density,kis the relaxation time constant,Kis the permeability of the porous medium,lis the effective fluid viscosity,tis the time variable,qis the fluid density,gis the acceleration due to the gravity, andpis the fluid pressure. The major drawback of the Darcy–Maxwell model is that it is only valid when the porous medium is dense and of sufficiently large thickness so that the variation in the velocity may be neglected. Conse- quently, by using the Darcy law, the boundary effects are neglected[15]. For a medium with high porosity it is essential to retain the viscous effects by using Eq.(1.2)to address the shortcomings of the Darcy–Maxwell model:

1þk@

@t

ðrpþqfg~kÞ ¼ l

Kvþlr2v: ð1:2Þ

This modified Darcy–Brinkman–Maxwell model was employed by Tan and Masuoka[28]to analyze the stability of a Max- well fluid heated from below. They showed that the critical Rayleigh number for over-stability decreases when the relaxation time increases. Wang and Tan[15]have also investigated the onset of double-diffusive convection in a horizontal sparsely packed porous media. In keeping with earlier studies, they used normal modes to determine the effects of the Brinkman term, the reaction term and the normalized porosity term.

In this work we use the modified Darcy–Brinkman model to investigate double-diffusive convection in a Maxwell fluid in the presence of Dufour and Soret effects in a highly porous medium. The study extends the earlier work by Motsa[33]to include inertia effects. The inclusion of double-diffusive convection in the linear stability analysis distinguishes this work from that by Wang and Tan[15]. The primary objective is to investigate the effects of the viscoelastic and porous media parameters on the onset of double-diffusive convection. Analytical expressions of the critical Darcy–Rayleigh number, wave number and frequency for the onset of stationary and oscillatory convection are determined.

2. Mathematical formulation

We consider an infinite horizontal layer of a quiescent Maxwell fluid saturating a shallow porous medium of thicknessd, seeFig. 1. Cartesian axes are chosen so that thezaxis is vertically upwards and thexaxis is horizontal. The governing con- tinuity, momentum, energy and the concentration equations can be expressed as

Fig. 1.Schematic diagram for the problem.

rv¼0; ð2:3Þ

1þk@

@t

rpqfg

¼ l

Kvþlr2v; ð2:4Þ

@

@tþvr

T¼kr2Tþk1r2C; ð2:5Þ

e@

@tþvr

C¼k0r2Cþk2r2T; ð2:6Þ

whereeis the normalized porosity parameter,kandk0are the thermal diffusivity and solutal diffusivity, respectively,k1and k2are parameters quantifying the contribution to heat flux due to the concentration gradient and mass flux due to temper- ature gradient, respectively,Tis the fluid temperature,Cis the solute concentration. In general, the transport of heat and mass transfer is not directly coupled. However, in thermosolutal convection, direct coupling takes place because the density

qf of the binary fluid depends on both the temperatureTand the concentrationC[29]. For small density variations due to temperature and concentration changes at a constant pressure, the density variation becomes

qf ¼q0½1aðTT0Þ þa0ðCC0Þ; ð2:7Þ

whereaanda0are the coefficients of the thermal and solutal expansion,T0andC0are taken as the reference state. The qui- escent basic state of the system is described by

v¼ ð0;0;0Þ; q¼qbðzÞ; p¼pbðzÞ; T¼TbðzÞ; C¼CbðzÞ: ð2:8Þ It has been shown, see Motsa[33], Subramanian and Patil[35]and Wang and Tan[15]that for the quiescent state, the tem- perature and solute concentration vary linearly across the layer thickness and have the form

Tb¼T0DT z

d ; Cb¼C0DC z

d ; ð2:9Þ

whereDT and DC represent the temperature and concentration differences between the lower and the upper surfaces, respectively. To determine the stability of the fluid layer described by Eqs.(2.3)–(2.6), we introduce small perturbations rep- resented by

ðv0;p0;T0;C0Þðx;y;z;tÞ: ð2:10Þ

Substituting the velocity in Eq. (2.10) into (2.3)–(2.6), we can show that the vertical fluid motion is governed by the equations

@T0

@t w0DT

d ¼kr2T0þk1r2C0; ð2:11Þ

e@C

0

@t w0DC

d ¼k0r2C0þk2r2T0; ð2:12Þ

q0g 1þk@

@t

r21ðaT0a0C0Þ ¼ l

Klr2

r2w0; ð2:13Þ

wherer21is the two-dimensional Laplacian operator. The problem defined by Eqs.(2.11)–(2.13)is non-dimensionalised by choosing the transformations

ðX;Y;ZÞ ¼1

dðx;y;zÞ; s¼ k

d2t0; h¼ T0

DT; /¼ C0

DC; v¼dkv0: ð2:14Þ

This leads to the following linearized equations for the evolution of the perturbations:

@h

@sw¼r

2hþDfr2/; ð2:15Þ

eLe@/

@sw¼r

2/þSrr2h; ð2:16Þ

RaD 1þk @

@s

r21ðhNLe/Þ ¼ ð1MDar2Þr2w; ð2:17Þ

whereM¼ll0. The controlling parameters are the Dufour numberDf, the Soret numberSr, the thermal Rayleigh numberRa and the buoyancy ratioNgiven by

Df ¼k1

k DC

DTLe; Sr¼k2

k DT

DC; Ra¼agq0d3DT

lk and N¼a0 a

DC DT;

respectively. The other parameters in Eqs.(2.15)–(2.17)are the Lewis numberLe, the Darcy numberDa, the dimensionless stress relaxation time (or Deborah number)kgiven by

Le¼k

k0; Da¼ K

d2 and k¼k k d2;

respectively. In addition we define the Darcy–Rayleigh number byRaD¼RaDa.

Eqs.(2.15)–(2.17)are solved subject to the boundary conditions inTable 1.

3. Linear stability analysis

Following earlier studies by, among others Wang and Tan[14]and Motsa[33], we assume a normal mode expansion by setting

ðw;h;/Þ ¼ ðF0;G0;S0Þsinðpexpðrsþi‘XþimYÞ; ð3:18Þ whereF0; G0; S0are the amplitudes of the velocity, temperature and concentration perturbations,andmare dimensionless wave numbers andr¼rrþixis the associated complex growth rate. The neutral stability boundary separating stable and unstable regions is characterized by the constraintrr¼0. The stationary or convective mode of instability occurs when

r¼0 at which stage the neutral state is time-independent. The time-dependent neutral staterr¼0; x0 leads to an oscillatory or overstable mode of instability.

Substituting Eq.(3.18)into(2.15)–(2.17)yields

F0 ðAþrÞG0DfAS0¼0; ð3:19Þ

F0SrAG0 ðAþeLerÞS0¼0; ð3:20Þ

ðAþDamA2ÞF0RaDb2ð1þkrÞðNLeS0G0Þ ¼0; ð3:21Þ whereDam¼MDais the modified Darcy parameter,b¼ ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi

2þm2

p is the effective horizontal wave number andA¼b2þp2. Eqs.(3.19)–(3.21)form an eigenvalue system with the Darcy–Rayleigh numberRaDas the eigenvalue with parameters Df; Sr; Dam; N; Leandk. The onset of double-diffusive convection is controlled by a minimum value of the Darcy–Rayleigh number as the parameters are varied.

To eliminateF0; G0andS0from Eqs.(3.19)–(3.21), we can use the coefficient matrix

1 ðAþrÞ DfA

1 SrA ðAþeÞ

ðDamA2þ RaDb2ð1þkrÞ RaDb2ð1þkrÞNLe 2

64

3 75

F0

G0

S0

2 64

3 75¼

0 0 0 2 64

3 75

to show that the solutions of the form(3.18)are possible provided the characteristic equation

K2r2þK1rþK0¼0; ð3:22Þ

is satisfied, where

K2¼RsDb2kRaDb2kQþQðDamA2þAÞ;

K1¼ RaDb2AðQþkðDf1ÞÞ RsDb2ð1þAkð1SrÞÞ þ ðDamA4þA3Þð1þQÞ;

K0¼RsDb2Að1SrÞ RaDb2Að1DfÞ þ ðDamA4þA3Þð1DfSrÞ:

HereQ¼eLe; RsD¼LeNRaD¼LeDaRsandRs¼ga0td3kDCwhereRsis the solutal Rayleigh number.

3.1. Stationary instabilityðx¼

Assuming thatDf 1, the Darcy–Rayleigh number in this case is found to be RaD¼RsD

ð1SrÞ

ð1DfÞþ ðDamA3þA2Þð1DfSrÞ b2ð1DfÞ

" #

: ð3:23Þ

To find the critical wave numberbcwe minimize the Darcy–Rayleigh numberRaDwith respect tobto get

Damb2cþp22b2cp2þb2cp2¼0: ð3:24Þ

Table 1

Different boundary conditions and corresponding trial functions[3,36]. A much larger set of boundary conditions can be found in[16].

Case BC’s w1 h1 /1

Free, isothermal w¼D2w¼0;h¼/¼0 z3ðz3 zðz zðz

Rigid, isothermal w¼Dw¼0;h¼/¼0 z3ðz3 zðz zðz

The critical Darcy–Rayleigh number signifying the onset of stationary instability corresponding tobccan now be written in the form

RaDc¼RsD

ð1SrÞ

ð1DfÞþ Damp2þb2c3

þp2þb2c2

ð1DfSrÞ b2cð1DfÞ

" #

: ð3:25Þ

This result is independent of the relaxation time.

3.2. Oscillatory instabilityðr¼ixand K1¼

The critical Darcy–Rayleigh number for the onset of instability as a time-dependent motion whenr¼ixandK1¼0 is RaoDver¼RsD

1þkAð1SrÞ QþkAð1DfÞ

þ ðDamA3þA2Þð1þQÞ b2ðQþkAð1DfÞÞ

" #

: ð3:26Þ

The corresponding critical frequency of the disturbances can easily be shown to be

r2crit¼ RsDb2A½Eð1SrÞ b2QJ þ ðDamA2þAÞAm

RsDb2k½Eb2QJ þQðDamA2þAÞ½EkAb2ð1þQÞ; ð3:27Þ where

Am¼Eð1DfSrÞ b2ð1DfÞð1þQÞ; E¼QþkAð1DfÞ;

J¼1þkAð1SrÞ:

When the Dufour and Soret effects are absent, Eq.(3.23)reduces to RaD¼RsDþA2

b2ðDamAþ1Þ: ð3:28Þ

In the limitDam!0, these results reduce to those of Wang and Tan[14]for the Darcy–Maxwell model. The special case Sr¼1 and Df1;

is similar to that of higher porosity with critical wave numberbc¼pand corresponding Rayleigh number

RaD¼4p2: ð3:29Þ

This result was previous obtained by Nield[19]for the Darcy model.

When

0<Sr<1 and Df 1;

we can make the approximations 1Sr

1Df

1SrþDfþOðDfÞ2 and SrDf OðDfÞ2:

Eq.(3.25)now reduces to RaDc¼RsDð1SrþDfÞ þA2

b2ðDamAþ1Þð1þDfÞ: ð3:30Þ

Eq.(3.30)shows that the critical Darcy–Rayleigh number for the exchange of stabilities decreases when the Soret parameter Srincreases, this destabilizes the system, but increasing the Dufour parameterDf leads to an increase in the critical Darcy–

Rayleigh number, suggesting that the Dufour parameter stabilizes the system.

4. Results and discussion

To determine the effects of the system parameters on the critical Darcy–Rayleigh numbers, we plot the stability curves for the exchange of stabilities and over-stability, respectively, as a functions of the horizontal wavenumberb. The critical Darcy–

Rayleigh numbers are the minimum values on the stabilities curves.

Fig. 2shows the effect of the Soret parameterSron the typical marginal stability curves in theðb;RaDÞ-plane.Fig. 2(a) concerns the onset of the stationary instability and shows that increasing the Soret number leads to a decrease in the critical Darcy–Rayleigh numberRaDat which the stationary instability is triggered. Similarly,Fig. 2(b) shows that the critical Darcy–

Rayleigh numberRaoDver for the onset of oscillatory instability decreases whenSrincreases. Thus in both cases the critical Darcy–Rayleigh numbers decrease with increasing Soret parameter values so that the onset of double-diffusive convection

0 5 10 15 0

100 200 300 400 500 600 700 800

β RaD

Sr=0.3 Sr=0.5 Sr=0.7 Dam=0.005

Df=0.4 RsD=20

0 5 10 15

0 100 200 300 400 500 600 700 800

β RaDover

Sr=0.0 Sr=0.4 Sr=0.9 Dam=0.05

λ=0.35 Q=1.3 Df=0.7 RsD=35

a b

Fig. 2.Marginal linear stability curves in theðb;RaDÞshowing the effect of the Soret parameterSron the critical Darcy–Rayleigh numbersRsDandRaoDverfor the onset of the stationary and oscillatory instabilities, respectively.

0 5 10 15

0 100 200 300 400 500 600 700 800

β RaD

Df=0.1

Df=0.2

Df=0.3 Dam=0.005

Sr=0.01 RsD=30

0 5 10 15

0 100 200 300 400 500 600 700 800

β RaDover

Df=0.7 Df=0.75 Df=0.79 Dam=0.06

Sr=0.0.01 λ=0.6 Q=6 RsD=20

a b

Fig. 3.Marginal linear stability curves in theðb;RaDÞshowing the effect of the Dufour parameterDfon the critical Darcy–Rayleigh numbersRaDandRaoDver

for the onset of the stationary and oscillatory instabilities, respectively.

0 5 10 15

0 100 200 300 400 500 600 700 800

β RaD

RsD=0 RsD=25 RsD=50 Dam=0.005

Sr=0.001 Df=0.26

0 5 10 15

0 100 200 300 400 500 600 700 800

β RaDover

RsD=0 RsD=30 RsD=60 H=0.2

Sr=0.0.01 λ=0.6 Q=4Df=0.005

a b

Fig. 4.Marginal linear stability curves in theðb;RaDÞshowing the effect of the solutal Darcy–RayleighRsDnumber on Darcy–Rayleigh numbersRaDand RaoDverfor the onset of the stationary and oscillatory instabilities, respectively.

0 5 10 15

0 100 200 300 400 500 600 700 800

β RaD

Dam=0.000 Dam=0.002 Dam=0.005 Sr=0.5

Df=0.45 RsD=20

0 5 10 15

0 100 200 300 400 500 600 700 800

β RaDover

Dam=0.00 Dam=0.004 Dam=0.008 Sr=0.01

λ=0.005 Q=1 Df=0.2 RsD=23

a b

Fig. 5.The effect of the Darcy parameterDamon Darcy–Rayleigh numbersRaDandRaoDver.

0 5 10 15

0 100 200 300 400 500 600 700 800

β RaDover

λ=0.00 λ=0.003 λ=0.006 Dam=0.005

Sr=0.2 Q=2.26 Df=0.01 RsD=20

0 5 10 15

0 100 200 300 400 500 600 700 800

β RaDover

λ=0.1 λ=0.4 λ=0.8 H=0.001

Sr=0.003 Q=2.5 Df=0.9 RsD=43

a b

Fig. 6.The effect of relaxation timekon Darcy–Rayleigh numberRaoDver.

0 5 10 15

0 100 200 300 400 500 600 700 800

β RaDover

Q=1 Q=3 Q=5 Dam=0.1

Sr=0.04 λ=0.3 Df=0.1 RsD=20

Fig. 7.The effect ofQon Darcy–Rayleigh numberRaoDver.

occurs much earlier when the Soret effect is large. Consequently, the Soret parameter is seen to have a destabilizing effect on the system.

Fig. 3illustrates the effect of the Dufour parameterDf on the critical Darcy–Rayleigh numbers and the linear marginal stability curves. We observe that the critical Darcy–Rayleigh number increases with increases in the value of the Dufour parameter. Similarly,Fig. 3(b) shows that the critical Darcy–Rayleigh number for over-stabilityRaoDverincreases when the Du- four parameterDf increases, indicating that the Dufour parameter stabilizes the system.

Fig. 4illustrates the effect of the solutal Darcy–Rayleigh numberRsDon the critical Darcy–Rayleigh numbersRaDand RaoDver. AsRsDincreases the critical Darcy–Rayleigh numbers decreases hastening the onset of convection. This observation was first reported by Wang and Tan[14].

Fig. 5shows that increasing the Darcy parameterDamleads to an increase inRaDandRaoDvervalues, this result was also obtained by Wang and Tan[15]. In the absence of the Dufour and Soret effects, the critical Darcy–Rayleigh number for over-stabilityRaoDverdecreases when the relaxation timekincreases. This is in agreement with the earlier findings by Tan and Masuoka[28]. However, with Dufour and Soret effects present, seeFig. 6,RaoDverincreases withk.

Fig. 7shows the effect ofQð¼eLeÞon the over-stability Darcy–Rayleigh number. The critical Darcy–Rayleigh number for over-stabilityRaoDverincreases withQ.

5. Conclusion

The stability of a Maxwell fluid with cross-diffusion and double-diffusive convection has been studied using linear sta- bility analysis. The onset criterion for stationary and oscillatory convection is derived analytically in terms of the critical Darcy–Rayleigh number. The effect of the Soret parameter is to destabilize the system by lowering the critical Darcy–Ray- leigh number for the onset of convection. The Dufour parameter increases the critical Darcy–Rayleigh number and thereby stabilizes the system. The effect of the solutal Rayleigh number on the critical Darcy–Rayleigh number is much more signif- icant in the case of over-stability than is the case with exchange of stabilities.

The effect of the relaxation time is to decrease the critical Darcy–Rayleigh number. In the limiting cases when the Soret and Dufour parameters are set to zero or at higher porosity, some known results have been recovered. The Dufour and Soret parameters have a significant bearing on the onset of double-diffusive convection on a Maxwell fluid with cross-diffusion and should not be lightly disregarded.

References

[1] T. Hayat, C. Fetecau, M. Sajid, On MHD transient flow of a Maxwell fluid in a porous medium and rotating frame, Phys. Lett. A 372 (2008) 1639–1644.

[2] T. Hayat, Z. Abbas, N. Ali, MHD flow and mass transfer of a upper-convected Maxwell fluid past a porous shrinking sheet with chemical reaction species, Phys. Lett. A 372 (2008) 4698–4704.

[3] J. Martinez-Mardones, C. Perez-Garcia, Linear instability in viscoelastic fluid convection, J. Phys.: Condens. Matter 2 (1990) 1281–1290.

[4] J.C. Maxwell, On the dynamical theory of gases, Philos. Trans. R. Soc. Lond. A 157 (1866) 2678.

[5] I.A. Eltayeb, Nonlinear thermal convection in an elasticoviscous layer heated from below, Proc. R. Soc. Lond. A 356 (1977) 161–176.

[6] M. Sokolov, R.I. Tanner, Convective stability of a general viscoelastic fluid heated from below, Phys. Fluid 15 (1972) 534–539.

[7] T. Hayat, C. Fetecau, Z. Abbas, N. Ali, Flow of a Maxwell fluid between two sided walls due to suddenly moved plate, Nonlinear Anal.: Real World Appl. 9 (2008) 2288–2295.

[8] T. Hayat, N. Alvi, N. Ali, Peristaltic mechanism of a Maxwell fluid in an asymmetric channel, Nonlinear Anal.: Real World Appl. 9 (2008) 1474–1490.

[9] T. Hayat, N. Ali, S. Asgher, Hall effects on peristaltic flow of a Maxwell fluid in a porous medium, Phys. Lett. A 363 (2007) 397–403.

[10] C. Fetecau, C. Fetecau, A new exact solution for the flow of a Maxwell fluid past an infinite plate, Int. J. Non-Linear Mech. 38 (2003) 423–427.

[11] C. Fetecau, C. Fetecau, The Rayleigh–Stokes-problem for a fluid of Maxwellian type, Int. J. Non-Linear Mech. 38 (2003) 603–607.

[12] C. Fetecau, C. Fetecau, Decay of a potential vortex in a Maxwell fluid, Int. J. Non-Linear Mech. 38 (2003) 985–990.

[13] C. Fetecau, C. Fetecau, On a simple flow of a Maxwell fluid, Rev. Roum. Sci. Techn. Mec. Appl. 1 (2006) 3–11.

[14] S.W. Wang, W.C. Tan, Stability analysis of double-diffusive convection of Maxwell fluid in a porous medium heated from below, Phys. Lett. A 372 (2008) 3046–3050.

[15] S.W. Wang, W.C. Tan, The onset of Darcy–Brinkman thermosolutal convection in a horizontal porous media, Phys. Lett. A 373 (2009) 776–780.

[16] G.N. Sekhar, G. Jayalatha, Elastic effects on Rayleigh–Bérnard convection in liquids with temperature-dependent viscosity, Int. J. Thermal Sci. (2010) 67–75.

[17] H.R. Brand, B.J.A. Zielinska, Tricritical codimension-2 point near the onset of convection in viscoelastic liquids, Phys. Rev. Lett. 57 (1986) 3167–3170.

[18] B.J.A. Zielinska, D. Mukamel, V. Steinberg, Multicriticality in viscoelastic fluids heated from below, Phys. Rev. A 33 (1986) 1454–1457.

[19] D.A. Nield, A. Bejan, Convection in Porous Media, second ed., Springer-Verlag, New York, 1999.

[20] I. Pop, D.B. Ingham, Convective Heat Transfer, first ed., Elsevier, 2001.

[21] T. Green, Oscillating convection in an elastico-viscous liquid, Phys. Fluid 11 (7) (1968) 1410–1413.

[22] D.A. Nield, Onset thermohaline convection in a porous medium, Water Resour. Res. 11 (1968) 553–560.

[23] D. Poulikakos, Double-diffusive convection in a horizontal sparsely packed porous, Int. Commun. Heat Mass Transfer 13 (1986) 587–598.

[24] M.S. Malshetty, V.S. Wadi, Rayleigh–Bernard convection subject to time dependent wall temperature in a fluid saturated porous layer, Fluid Dynam.

Res. 24 (1999) 293.

[25] M.E. Taslim, U. Narusawa, Binary fluid convection and double-diffusive convection in porous medium, J. Heat Transfer 108 (1986) 221–224.

[26] F. Capuani, D. Frankel, C.F. Lowe, Velocity fluctuations and dispersion in a simple porous medium, Phys. Rev. E 67 (2003) 056306.

[27] T. Masouka, N. Rudraiah, Siddheshwar, Nonlinear convection in porous media, J. Porous Media 6 (2003) 1.

[28] W.C. Tan, T. Masouka, Stability analysis of a Maxwell fluid in a porous medium heated from below, Phys. Lett. A 360 (2007) 454–460.

[29] K. Vafai, HandBook of Porous Media, second ed., CRC Press, 2005.

[30] A. Younes, On modeling the multidimensional coupled fluid flow and heat or mass transport in porous media, J. Heat Transfer 46 (2003) 367–379.

[31] N.G. Kafoussias, E.W. Williams, Thermal-diffusion and diffusion-thermo effects on mixed free-forced convective and mass transfer boundary layer flow with temperature dependent viscosity, Int. Eng. Sci. 33 (1995) 1369–1384.

[32] M.S. Alam, M.M. Rahman, Dufour and Soret effects on mixed convection flow past a vertical porous flat plate with variable suction, Nonlinear Anal.:

Modell. Control 11 (2006) 3–12.

Dokumen terkait