Numerical Modeling of Non-Similar Mixed Convection Heat Transfer over a Stretching Surface with Slip Conditions ()

A. Subba Rao^{1*}, V. R. Prasad^{1}, N. Nagendra^{1}, K. V. N. Murthy^{1}, N. Bhaskar Reddy^{2}, O. Anwar Beg^{3}

^{1}Department of Mathematics, Madanapalle Institute of Technology and Science, Madanapalle, India.

^{2}Department of Mathematics, Sri Venkateswara University, Tirupathi, India.

^{3}Gort Engovation Research (Propulsion and Biomechanics), Bradford, UK.

**DOI: **10.4236/wjm.2015.56013
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In this paper, the heat transfer effect on the steady boundary layer flow of a Casson fluid past a stretching surface in the presence of slip conditions was analyzed. The stretching surface is maintained at a constant temperature. The boundary layer conservation equations, which are parabolic in nature, are normalized into non-similar form and then solved numerically with the well-tested, efficient, implicit, stable Keller-box finite difference scheme. The resulting equations are solved numerically by using the Kellerbox finite-difference method, and the expressions for velocity and temperature are obtained. They satisfy all imposed initial and boundary conditions and reduce to some well-known solutions for non-Newtonian fluids. Numerical results for velocity, temperature, skin friction and Nusselt number are shown in various graphs and discussed for embedded flow parameters. It is found that both velocity and temperature decrease with an increase of the Casson fluid parameter.

Keywords

Stretching Surface, Non-Newtonian Fluid, Slip Condition, Keller-Box Numerical Method, Heat Transfer, Skin Friction Coefficient

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Rao, A. , Prasad, V. , Nagendra, N. , Murthy, K. , Reddy, N. and Beg, O. (2015) Numerical Modeling of Non-Similar Mixed Convection Heat Transfer over a Stretching Surface with Slip Conditions. *World Journal of Mechanics*, **5**, 117-128. doi: 10.4236/wjm.2015.56013.

1. Introduction

Heat transfer in non-Newtonian fluids is an important research area due to its wide applications in food processing, petroleum production, cooling of an infinite metallic plate in a cooling bath and in many industries, for example polymers melt, polymer solutions employed in the plastic processing, a long thread traveling between a feed roll and a wind-up roll etc. Flow in the boundary layer on moving solid surface was historically first investigated by Sakiadis [1] [2] who observed that the boundary layer growth was in the direction of motion of the continuous solid surface and deviates from that of the classical Blasius flow past a flat plate. Erickson et al. [3] extended the Sakiadis problem to include blowing or suction at the moving surface and investigated its effects on the heat and mass transfer in the boundary layer. Bijjanal et al. [4] obtained closed-form similarity solutions for steady two-dimensional incompressible boundary layer flow caused by a stretching sheet with Non-Uniform Heat Source/Sink. Combined forced and free convection in boundary layers adjacent to a continuous horizontal sheet maintained at a constant temperature and moving with a constant velocity it was investigated numerically by Chen and Strobel [5] . Grubka and Bobba [6] have investigated the stretching sheet problem for a surface moving with linear velocity and with a variable surface temperature. Dutta et al. [7] studied numerically the Temperature Field in Flow over a Stretching Surface with Uniform Heat Flux. Chen and Char [8] investigated the effects of variable surface temperature and variable heat flux on the heat transfer characteristics of a linearly stretching sheet subject to blowing or suction. Several excellent studies of stretching flows in materials processing were presented by Karwe and Jaluria [9] [10] . Patil et al. [11] further analysed unsteady two- dimensional mixed convection flow along a vertical semi-infinite power law stretching sheet in a parallel free stream with a power-law temperature distribution. Nath et al. [12] analysed the three-dimensional, time dependent stretch surface flow. Ali and Al-Yousef [13] analysed mixed convection heat transfer from a uniformly stretching vertical surface with power function form for wall temperature. Partha et al. [14] described the effects of viscous dissipation on mixed convection heat transfer from an exponentially stretching surface.

Non-Newtonian transport phenomena arise in many branches of chemical and material processing engineering. Such fluids exhibit shear-stress-strain relationships which diverge significantly from the Newtonian (Navier-Stokes) model. Most non-Newtonian models involve some forms of modification to the momentum conservation equations. These include power-law, and thixotropic and viscoelastic fluids (Schowalter [15] ). Such rheological models however cannot simulate the microstructural characteristics of many important liquids including polymer suspensions, liquid crystal melts, physiological fluids, contaminated lubricants, etc. Several fluids in chemical engineering, multiphase mixtures, pharmaceutical formulations, china clay and coal in water, paints, synthetic lubricants, salvia, synovial fluid, jams, soups, jellies, marmalades, sewage sludge etc. are non-Newtonian. The constitutive relations for these kinds of fluids give rise to more complex and higher order equations than the Navier-Stokes equations. Considerable progress has been made on the topic by using different models of non- Newtonian fluids [16] - [25] . Previous studies indicate that not much has been presented yet regarding Casson fluid. This model (Casson [26] ; Nakamura et al. [27] ; Samir Kumar [28] ) in fact is a plastic fluid that exhibits shear thinning characteristics and that quantifies yield stress and high shear viscosity. Casson fluid model is reduced to a Newtonian fluid at a very high wall shear stress, when wall stress is much greater than yield stress. This fluid has good approximations for many substances such as biological materials, foams, molten chocolate, cosmetics, nail polish, some particulate suspensions etc. The boundary layer behaviour of viscoelastic fluid has technical applications in engineering such as glass fibre, paper production, manufacture of foods, the aerodynamic extrusion of plastic sheets, the polymer extrusion in a melt spinning process and many others.

Most of the existing studies on steady boundary layer flow and heat transfer with slip conditions are limited to the non-Newtonian fluid. The considered slip conditions especially are important in the non-Newtonian fluids such as polymer melts which often exhibit wall slip. This motivates us to consider the slip conditions in the present work for non-Newtonian fluids. More exactly, our aim is to investigate steady boundary layer flow and heat transfer of a Casson fluid past a stretching sheet with slip conditions. The equations of the problem are first formulated and then transformed into their dimensionless forms where the Keller box method is applied to find the exact solutions for velocity, temperature, Skin-friction and Nusselt number.

2. Mathematical Analysis

We consider steady two-dimensional laminar mixed convection heat transfer flow along a stretching surface with partial slip. By applying two equal and opposing forces along the x-axis, the sheet is stretched with a speed proportional to the distance from the fixed origin x = 0 as shown in Figure 1. It is also assumed that the external electric field is zero and the electric field due to the polarization of chargers is negligible. The temperature is

(a) (b)

Figure 1. (a) Physical model and coordinate system; (b) Grid meshing and a Keller box computational cell.

maintained at prescribed constant value. The fluid properties are assumed to be constant except the density variation in the buoyancy force term.

The rheological equation of state for an isotropic flow of Casson fluid is (Nakamura et al. [27] ):

(1)

in which and represents the component of deformation rate, is the dynamic viscosity, denotes the product of the component of deformation rate with itself, shows a critical value of this product based on the non-Newtonian model, represents the plastic dynamic viscosity of non-Newtonian fluid and is the yield stress of fluid.

Under the usual Boussinesq and boundary layer approximations, the equations for mass continuity, (continuity/mass conservation) momentum and energy can be written in the following form:

(2)

(3)

(4)

where and are the velocity components in the - and -directions, is the kinematic viscosity of the conducting fluid, is the non-Newtonian Casson parameter, is the thermal diffusivity, is the temperature respectively.

The boundary conditions are prescribed at the stretching surface and the edge of the boundary layer regime, respectively as follows:

(5)

where N_{0} is the velocity slip factor and K_{0} is the thermal slip factor. For, one can recover the no- slip case. The stream function is defined by and, and therefore, the continuity equation is automatically satisfied. In order to write the governing equations and the boundary conditions in dimensionless form, the following non-dimensional quantities are introduced.

(6)

where is the dimensionless stream wise coordinate, is the dimensionless stream function, is the temperature function, is the local Reynolds number, is the local thermal Grash of parameter, is the coefficient of thermal expansion, is the density of the fluid, is the Prandtl number, is the free stream temperature. The local mixed convection parameter is small near the leading edge where the forced convection dominates and large when the buoyancy force dominates the flow field. The stretching velocity of the surface obeys the relation:

(7)

where U_{0} is a constant.

In view of Equations (6) and (7), Equations (2)-(4) reduce to the following coupled, nonlinear, dimensionless partial differential equations for momentum and energy for the regime

(8)

(9)

The transformed dimensionless boundary conditions are:

(10)

In the above equations, the primes denote the differentiation with respect to, the dimensionless transverse

coordinate, and is the dimensionless tangential coordinate, and are the non-

dimensional velocity and thermal slip parameters respectively. Here we assumed the typical values K_{0} = 0.5, N_{0} = 0.25 for finding the non-dimensional velocity and thermal slip parameters.

The engineering design quantities of physical interest include the skin-friction coefficient and Nusselt number, which are given by:

(11)

(12)

3. Numerical Solution

In this study the efficient Keller-Box implicit difference method has been employed to solve the general flow model defined by Equations (8)-(9) with boundary conditions (10). Therefore a more detailed exposition is presented here. This method, originally developed for low speed aerodynamic boundary layers by Keller [29] , and has been employed in a diverse range of coupled heat transfer problems. These include Ramachandra Prasad et al. [30] , Rao et al. [31] and Beg et al. [32] .

Essentially 4 phases are central to the Keller Box Scheme.

These are

a) Reduction of the N^{th} order partial differential equation system to N first order equations;

b) Finite Difference Discretization;

c) Quasilinearization of Non-Linear Keller Algebraic Equations;

d) Block-tridiagonal Elimination of Linear Keller Algebraic Equations.

Phase a: Reduction of the N^{th} order partial differential equation system to N first order equations

Equations (8)-(9) subject to the boundary conditions (10) are first written as a system of first-order equations. For this purpose, we reset Equations (8)-(9) as a set of simultaneous equations by introducing the new variables u, v and t:

(13)

(14)

(15)

(16)

(17)

In terms of the dependent variables, the boundary conditions become:

(18)

Phase b: Finite difference discretization

A two dimensional computational grid is imposed on the x-η plane as sketched in Figure 2. The stepping process is defined by:

(19)

(20)

where k_{n} and h_{j} denote the step distances in the ξ and η directions respectively.

If denotes the value of any variable at, then the variables and derivatives of Equations (13)-(17) at are replaced by:

(a) (b)

Figure 2. (a) Influence of S_{f} on the velocity; (b) Influence of S_{f} on the temperature.

(21)

(22)

(23)

We now state the finite-difference approximation of Equations (13)-(17) for the mid-point, below

(24)

(25)

(26)

(27)

(28)

where we have used the abbreviations

(29)

(30)

(31)

The boundary conditions are

(32)

Phase c: Quasilinearization of non-linear Keller algebraic equations

If we assume to be known for, Equations (24)-(28) are a system of 5J + 5 equations for the solution of 5J + 5 unknowns,. This non-linear system of algebraic equations is linearized by means of Newton’s method as explained in Keller [29] and Prasad et al. [33] .

Phase d: Block-tridiagonal elimination of linear Keller algebraic equations

The linear system (24)-(28) can now be solved by the block-elimination method, since they possess a block- tridiagonal structure. Commonly, the block-tridiagonal structure consists of variables or constants, but here, an interesting feature can be observed, namely that it consists of block matrices. The complete linearized system is formulated as a block matrix system, where each element in the coefficient matrix is a matrix itself. Then, this system is solved using the efficient Keller-box method. The numerical results are affected by the number of mesh points in both directions. After some trials in the η-direction (radial coordinate) a larger number of mesh points are selected whereas in the ξ direction (tangential coordinate) significantly less mesh points are utilized. η_{max} has been set at 10 and this defines an adequately large value at which the prescribed boundary conditions are satisfied. ξ_{max} is set at 3.0 for this flow domain. Mesh independence is therefore achieved in the present com- putations. The computer program of the algorithm is executed in MATLAB running on a PC. The method demonstrates excellent stability, convergence and consistency, as elaborated by Keller [29] and this system is developed by Cebeci and Bradshaw [34] .

4. Results and Discussions

Comprehensive solutions have been obtained and are presented in Figures 2-7. The numerical problem comprises 2 independent variables (x, h), 2 dependent fluid dynamic variables and 5 thermo physical and

(a) (b)

Figure 3. (a) Influence of S_{T} on the velocity; (b) Influence of S_{T} on the temperature.

(a) (b)

Figure 4. (a) Influence of β on the velocity; (b) Influence of β on the temperature.

(a) (b)

Figure 5. (a) Effect of S_{f} on the Skin-friction coefficient results; (b) Effect of S_{f} on the Nusselt number results.

(a) (b)

Figure 6. (a) Influence of ξ on the velocity; (b) Influence of ξ on the temperature.

(a) (b)

Figure 7. (a) Influence of Pr on the velocity; (b) Influence of Pr on the temperature.

body force control parameters. In the present computations, the following default parameters are prescribed (unless otherwise stated): Pr = 0.71, S_{f} = 0.5, S_{T} = 1.0, b = 1.0, x = 1.0.

In Figure 2(a) and Figure 2(b), the influence of velocity slip parameter on velocity and temperature is illustrated. In Figure 2(a) the dimensionless velocity component at the wall reduces with increase in slip parameter and hence there will be a decrease in the boundary layer thickness. The velocity profiles damped out a bit slower for the high amount of slip parameters, because of an interception which exhibits among them. Figure 2(b) indicates that an increase in slip parameter tends to increase temperature in the flow field. By increasing S_{f}, thermal boundary layer thickness enhances.

The variation of velocity and temperature with the transverse coordinate (h), over the thermal slip parameter S_{T} is illustrated in Figure 3(a) and Figure 3(b). The response of velocity is much more consistent than for the case of changing velocity slip parameter, it is strongly decreased for all locations in the radial direction. The peak velocity accompanies the case of no thermal slip (S_{T} = 0). The maximum deceleration corresponds to the case of strongest thermal slip (S_{T} = 3). Temperatures (Figure 3(b)) are also strongly depressed with increasing thermal slip. The maximum effect is observed at the wall. Further into the free stream, all temperature profiles converge smoothly to the vanishing value. Figure 4(a) and Figure 4(b) depict the effect of the Casson fluid parameter β on velocity and temperature. Actually, with an increase in non-Newtonian Casson parameter (β), it produces resistance in the fluid flow. An increase in β implies a decrease in yield stress of the Casson fluid and increase in the value of plastic dynamic viscosity; this effect creates resistance in the flow of fluid. It is further noted that velocity decreases as the Casson fluid parameter increases. In Figure 4(b) it is shown that the effect of causes decreases in temperature. The effect of velocity slip parameter on stretching surface shear stress, local Nusselt number variation are presented in Figure 5(a) and Figure 5(b). In consistency with the earlier graphs described for velocity evolution, with an increase in, wall shear stress is consistently reduced i.e. the flow is decelerated along the stretching surface. The impact of wall slip is therefore significant on the boundary layer characteristics of Casson flow from a surface. With an increasing, the local Nusselt number is also considerably decreased and profiles are generally monotonic decays. Maximum local Nusselt number always arises at the stretching surface and is minimized with proximity to the greater distance from the stretching surface. In both Figure 5(a) and Figure 5(b), skin friction coefficient and local Nusselt number are maximized for the case of no-slip i.e.. In Figure 6(a) and Figure 6(b), the variation of velocity and temperature fields with different values is shown. Close to the stretching surface, velocity is found to be maximized closer to the stretching surface and minimized with progressive distance away from it i.e. the flow is decelerated with increasing. However further from the wall, a marked acceleration in the flow is generated with greater distance from the surface i.e. velocity values are higher for higher values of. Temperature q is found to noticeably decrease through the boundary layer with increasing values; as such the fluid regime is cooled most efficiently at the stretching surface and heated increasingly as we progress around the stretching surface periphery upwards. The effect of Prandtl number (Pr) on the primitive flow variables of velocity and temperature is shown in Figure 7(a) and Figure 7(b). Prandtl number signifies the ratio of viscous diffusion to thermal diffusion in the boundary layer regime. With greater Pr values, viscous diffusion rate exceeds thermal diffusion rate. An increase in Pr from 0.7 through 1.0, 2.0, 4.0, 5.4 to 7.0, strongly depresses velocities (Figure 7(a)) in the regime. For Pr < 1, thermal diffusivity exceeds momentum diffusivity i.e. heat will diffuse faster than momentum. For Pr = 1.0, both the viscous and energy diffusion rates will be the same as will the thermal and velocity boundary layer thicknesses. With increasing Pr values, temperature as shown in Figure 7(b), is markedly reduced throughout the boundary layer.

To validate the present solutions, we compare the present model with the earlier Newtonian model of Merkin [35] and we observe that an excellent agreement between the previous results as shown in Table 1.

5. Conclusions

In this study, numerical solutions have been presented for flow and heat transfer of Casson fluid from a permeable isothermal stretching surface with partial slip. The model has been developed to simulate food stuff transport

Table 1. Values of the local heat transfer coefficient for various values of ξ with β → ∞,.

processes in industrial manufacturing operations. A robust, extensively-validated and implicit finite difference numerical scheme has been implemented to solve the transformed and dimensionless velocity and thermal boundary layer equations, subject to physically realistic boundary conditions. The results in summary have shown that, when increasing the velocity slip parameter, velocity, skin friction and Nusselt number decrease, but the temperature increases. A significant finding of this study is that flow separation can be controlled by increasing the value of Casson fluid parameter as well as by increasing Prandtl number.

The current study has been confined to steady-state flow i.e. ignored transient effects and neglected thermal radiation heat transfer effects [36] . Generally, very stable and accurate solutions are obtained with the present finite difference code and it is envisaged that other non-Newtonian flows will be studied using this methodology in the future, including Maxwell upper convected fluids [37] , and couple stress fluids [38] . These aspects are also of relevance to rheological food processing simulations and will be considered in future investigations.

Acknowledgements

The authors are grateful to the reviewers for giving their constructive comments for improving this article. The work is supported by the University Grants Commission-SERO. The authors are thankful to UGC-NEWDELHI, S.V University, Tirupati and management of MITS, Madanapalle.

NOTES

^{*}Corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

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