# Numerical investigation of stagnation point flow over a stretching sheet with convective boundary conditions

- Muhammad Khairul Anuar Mohamed
^{1}, - Mohd Zuki Salleh
^{2}Email author, - Roslinda Nazar
^{3}and - Anuar Ishak
^{3}

**2013**:4

https://doi.org/10.1186/1687-2770-2013-4

© Mohamed et al.; licensee Springer. 2013

**Received: **31 August 2012

**Accepted: **26 December 2012

**Published: **16 January 2013

## Abstract

In this study, the mathematical modeling for stagnation point flow over a stretching surface with convective boundary conditions is considered. The transformed boundary layer equations are solved numerically using the shooting method. Numerical solutions are obtained for the skin friction coefficient, the surface temperature as well as the velocity profiles. The features of the flow and heat transfer characteristics for various values of the Prandtl number, stretching parameter and conjugate parameter are analyzed and discussed.

## Keywords

## 1 Introduction

Problems related to convection boundary layer flows are important in engineering and industrial activities. Such flows are applied to manage thermal effects in many industrial outputs, for example, in electronic devices, computer power supply and also in an engine cooling system such as a heatsink in a car radiator. Sakiadis [1] was the first to study the boundary layer flow on a continuous solid surface moving at a constant speed. Due to entrainment of the ambient fluid, this boundary layer flow is quite different from the Blasius flow past a flat plate. Sakiadis’s theoretical predictions for Newtonian fluids were later corroborated experimentally by Tsou *et al.* [2]. Flow of a viscous fluid past a stretching sheet is a classical problem in fluid dynamics. Crane [3] was the first to study the convection boundary layer flow over a stretching sheet. The heat and mass transfer on a stretching sheet with suction or blowing was investigated by Gupta and Gupta [4]. They considered an isothermal moving plate and obtained the temperature and concentration distributions. Chen and Char [5] studied the laminar boundary layer flow and heat transfer from a linearly stretching, continuous sheet subjected to suction or blowing with prescribed wall temperature and heat flux. Stagnation flow towards a shrinking sheet was then investigated by Wang [6] who considered the prescribed wall temperature case. Ishak *et al.* [7–9] studied the MHD stagnation point flow towards a stretching sheet, mixed convection towards a vertical and continuosly stretching sheet and post stagnation-point towards a vertical and linearly stretching sheet. This type of problem was then extended to viscous fluids, viscoelastic fluids or micropolar fluids by many investigators by considering the usually applied boundary conditions, either prescribed wall temperature or prescribed wall heat flux. Recently, Mohamed *et al.* [10] studied the stagnation point flow over a stretching sheet and Hayat *et al.* [11] investigated the flow of a second grade fluid over a stretching surface with Newtonian heating.

On the other hand, Merkin [12] has shown that in general, there are four common heating processes specifying the wall-to-ambient temperature distributions, namely (i) constant or prescribed wall temperature; (ii) constant or prescribed surface heat flux; (iii) Newtonian heating (NH); and (iv) convective/conjugate boundary conditions (CBC), where heat is supplied through a bounding surface of finite thickness and finite heat capacity. The interface temperature is not known *a priori* but depends on the intrinsic properties of the system, namely the thermal conductivity of the fluid or solid. Recent demands in heat transfer engineering have requested researchers to develop various new types of heat transfer equipments with superior performance, especially compact and light-weight ones. With the increasing need for small-size units, focus has been cast on the effects of the interaction between developments of thermal boundary layers in both fluid streams and of axial wall conduction, which usually affects the heat exchanges performance. Since the early paper by Luikov *et al.* [13], many contributions to the topic of conjugate heat transfer have been made. The conjugate/convective boundary condition has been used only quite recently by Aziz [14] who studied the laminar thermal boundary layer over a flat plate. This Blasius flow with the conjugate boundary condition then has been revisited by Rashidi and Erfani [15] and Magyari [16]. Makinde and Aziz [17] considered the hydromagnetic heat and mass transfer over a vertical plate. Ishak *et al.* [18, 19] have studied the thermal boundary layer flow on a moving plate (Sakiadis flow) with radiation effects. Recently, Merkin and Pop [20], Yao *et al.* [21], Yacob *et al.* [22] and Yacob and Ishak [23] investigated the boundary layer flow past a shrinking/stretching sheet with convective boundary conditions in a viscous fluid, nanofluid or micropolar fluid, respectively. Excellent reviews of the topics of convective heat transfer problems can be found in the books by Kimura *et al.* [24] and Martynenko and Khramtsov [25].

Motivated by the works of Wang [6] and Yacob and Ishak [23], we aim in this study to investigate the problem of stagnation point flow over a stretching sheet with convective boundary conditions. The governing nonlinear partial differential equations are first transformed into a system of ordinary differential equations by a similarity transformation before being solved numerically using the shooting method (see Salleh *et al.* [26] for more details about this method).

## 2 Mathematical formulation

*a*and

*b*are constants. The physical model and coordinate system of this problem are shown in Figure 1. It is further assumed that the plate is subjected to a conjugate boundary condition. The boundary layer equations are

*u*and

*v*are the velocity components along the

*x*and

*y*directions, respectively. Further,

*T*is temperature, ${T}_{f}$ is the temperature of the hot fluid,

*ν*is the kinematic viscosity,

*k*is the thermal conductivity,

*α*is the thermal diffusivity and ${h}_{f}$ is the heat transfer coefficient.

*et al.*[27] and Aziz [14]):

*ψ*is the stream function defined as $u=\frac{\partial \psi}{\partial y}$ and $v=-\frac{\partial \psi}{\partial x}$, which identically satisfies Equation (1). Thus, we have

*η*. Substituting (5) and (6) into Equations (2) and (3), we obtain the following nonlinear ordinary differential equations:

*ρ*is the fluid density. The surface shear stress ${\tau}_{w}$ and the surface heat flux ${q}_{w}$ are given by

*k*being the dynamic viscosity and the thermal conductivity, respectively. Using the similarity variables in (5) gives

where ${\mathit{Re}}_{x}=\frac{{u}_{e}x}{\nu}$ is the local Reynolds number and ${\mathit{Nu}}_{x}$ is the local Nusselt number.

## 3 Numerical method

The Runge-Kutta-Fehlberg method will be adopted to solve the applicable initial value problem. In order to integrate Equations (14) and (15) as an IVP, we require a value for ${f}^{\u2033}(0)$ and $\theta (0)$, *i.e.*, ${\alpha}_{1}$ and ${\alpha}_{2}$ respectively. Since these values are not given in the boundary conditions (16), suitable guess values for ${f}^{\u2033}(0)$ and $\theta (0)$ are made and integration is carried out. Then, we compare the calculated values for ${f}^{\prime}(\eta )$ and $\theta (\eta )$ at ${\eta}_{\mathrm{\infty}}$ with the given boundary conditions ${f}^{\prime}({\eta}_{\mathrm{\infty}})=1$ and $\theta ({\eta}_{\mathrm{\infty}})=0$ respectively and adjust the estimated values of ${f}^{\u2033}(0)$, $\theta (0)$ and ${\eta}_{\mathrm{\infty}}$ to give a better approximation for the solution. This computation is done with the aid of shootlib file in Maple software. In this study, the boundary layer thickness ${\eta}_{\mathrm{\infty}}$ between 2 and 8 was used in the computation, depending on the values of the parameters considered so that the boundary condition at ‘infinity’ is achieved.

## 4 Results and discussion

*Pr*, the conjugate parameter

*γ*and the stretching parameter

*ε*. From the numerical solution, it is known that the boundary layer thicknesses ${\eta}_{\mathrm{\infty}}$ from 2 to 8 is suitable to provide accurate numerical results. Due to the decoupled boundary layer equations (7) and (8), for $\epsilon =0$, it has been found that there is a unique value of the skin friction coefficient, ${f}^{\u2033}(0)=1.2325877$, which is in very good comparison with the classical value ${f}^{\u2033}(0)=1.232588$ reported by Hiemenz [34]. Table 1 presents the comparison between the present results with the previously reported results by Wang [6] and Yacob and Ishak [23] for various values of the stretching parameter

*ε*. It has been found that they are in good-agreement. We can conclude that this method works efficiently for the present problem, and we are also confident that the results presented here are accurate.

**Comparison for the values of**
${\mathit{f}}^{\mathbf{\u2033}}\mathbf{(}\mathbf{0}\mathbf{)}$
**with previously published results**

*ε*when $\mathit{Pr}=0.72$ and $\gamma =0.1,1,\text{and}1.5$. To get a physically acceptable solution,

*ε*must be greater than or equal to a critical value, say

*εc*,

*i.e.*, $\epsilon \ge \epsilon c$. It can be seen from this figure that $\theta (0)$ bounded to 1 as

*ε*approaches the critical value $\epsilon c\simeq -1.2460$.

*Pr*, when $\epsilon =1$ and $\gamma =0.1,1\text{and}1.5$. It is noticed that the increasing value of the Prandtl number caused the decrease of surface temperature $\theta (0)$. From Figures 2 and 3, the same trend is observed for the variation of the surface temperature,

*i.e.*, the surface temperature increases as

*γ*increases.

*Pr*. It has been found that as

*Pr*increases, the temperature in the boundary layer decreases, and the thermal boundary layer thickness also decreases. This is because for small values of the Prandtl number, the fluid is highly thermal conductive. Physically, if

*Pr*increases, the thermal diffusivity decreases, and this phenomenon leads to the decreasing of energy ability that reduces the thermal boundary layer.

*ε*are presented in Figure 5, and it has been found again that as

*ε*increases, the temperature decreases, and the thermal boundary layer thickness also decreases, similar to the results presented in Figure 4. The temperature profiles presented in Figure 6 show that the temperature increases as the conjugate parameter increases, in contrast with the results presented in Figures 4 and 5 for the variation of

*Pr*and

*ε*.

*ε*which produce ${f}^{\prime}(0)=\epsilon $ and ${f}^{\prime}(\eta )=1$ as $\eta \to \mathrm{\infty}$. When $\epsilon >1$, the flow has an inverted boundary layer structure and the thickness of the boundary layer decreases with

*ε*. On the other hand, when $\epsilon <1$, the flow has a boundary layer structure, which results from the fact that when $b/a<1$, the external velocity

*ax*of the surface exceeds the velocity

*bx*of the stretching sheet. For this case, the thickness of the boundary layer increases with the increase of

*ε*.

## 5 Conclusion

In this paper, we have theoretically and numerically studied the problem of stagnation point flow over a stretching sheet with the convective boundary condition. It is shown how the Prandtl number *Pr*, stretching parameter *ε* and conjugate parameter *γ* affect the values of the surface temperature $\theta (0)$ and skin friction coefficient ${f}^{\u2033}(0)$.

We can conclude that the thermal boundary layer thickness depends strongly on these three parameters. Further, it is seen that an increase in the Prandtl number *Pr* and stretching parameter *ε* results in a decrease of the temperature. The reason is that smaller values of *Pr* are equivalent to increasing thermal conductivity and therefore, heat is capable of diffusing away from the heated wall more rapidly than at higher values of *Pr*. However, the increase of conjugate parameter *γ* leads to an increase of the surface temperature $\theta (0)$.

## Declarations

### Acknowledgements

The authors wish to thank the anonymous reviewers for their valuable comments and suggestions. The financial support received from the Universiti Malaysia Pahang (Project Codes: RDU110108 and RDU110390) and the Universiti Kebangsaan Malaysia (Project Code: DIP-2012-31) is gratefully acknowledged.

## Authors’ Affiliations

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