# Boundary layer flow of nanofluid over an exponentially stretching surface

- Sohail Nadeem
^{1}Email author and - Changhoon Lee
^{2}

**7**:94

**DOI: **10.1186/1556-276X-7-94

© Nadeem and Lee; licensee Springer. 2012

**Received: **26 July 2011

**Accepted: **30 January 2012

**Published: **30 January 2012

## Abstract

The steady boundary layer flow of nanofluid over an exponential stretching surface is investigated analytically. The transport equations include the effects of Brownian motion parameter and thermophoresis parameter. The highly nonlinear coupled partial differential equations are simplified with the help of suitable similarity transformations. The reduced equations are then solved analytically with the help of homotopy analysis method (HAM). The convergence of HAM solutions are obtained by plotting *h*-curve. The expressions for velocity, temperature and nanoparticle volume fraction are computed for some values of the parameters namely, suction injection parameter *α*, Lewis number *Le*, the Brownian motion parameter *Nb* and thermophoresis parameter *Nt*.

### Keywords

nanofluid porous stretching surface boundary layer flow series solutions exponential stretching## 1 Introduction

During the last many years, the study of boundary layer flow and heat transfer over a stretching surface has achieved a lot of success because of its large number of applications in industry and technology. Few of these applications are materials manufactured by polymer extrusion, drawing of copper wires, continuous stretching of plastic films, artificial fibers, hot rolling, wire drawing, glass fiber, metal extrusion and metal spinning etc. After the pioneering work by Sakiadis [1], a large amount of literature is available on boundary layer flow of Newtonian and non-Newtonian fluids over linear and nonlinear stretching surfaces [2–10]. However, only a limited attention has been paid to the study of exponential stretching surface. Mention may be made to the works of Magyari and Keller [11], Sanjayanand and Khan [12], Khan and Sanjayanand [13], Bidin and Nazar [14] and Nadeem et al. [15, 16].

More recently, the study of convective heat transfer in nanofluids has achieved great success in various industrial processes. A large number of experimental and theoretical studies have been carried out by numerous researchers on thermal conductivity of nanofluids [17–22]. The theory of nanofluids has presented several fundamental properties with the large enhancement in thermal conductivity as compared to the base fluid [23].

In this study, we have discussed the boundary layer flow of nanofluid over an exponentially stretching surface with suction and injection. To the best of our knowledge, the nanofluid over an exponentially stretching surface has not been discussed so far. However, the present paper is only a theoretical idea, which is not checked experimentally. The governing highly nonlinear partial differential equation of motion, energy and nanoparticle volume fraction has been simplified by using suitable similarity transformations and then solved analytically with the help of HAM [24–39]. The convergence of HAM solution has been discussed by plotting *h*-curve. The effects of pertinent parameters of nanofluid have been discussed through graphs.

## 2 Formulation of the problem

*x*-axis is taken along the stretching surface in the direction of the motion and y-axis is normal to it. The plate is stretched in the

*x*-direction with a velocity

*U*

_{ w }=

*U*

_{0}exp (

*x*/

*l*). defined at

*y*= 0. The flow and heat transfer characteristics under the boundary layer approximations are governed by the following equations

where (*u*, *v*) are the velocity components in (*x*, *y*) directions, *ρ*_{
f
} is the fluid density of base fluid, *ν* is the kinematic viscosity, *T* is the temperature, *C* is the nanoparticle volume fraction, (*ρc*)_{
p
} is the effective heat capacity of nanoparticles, (*ρc*)_{
f
} is the heat capacity of the fluid, *α* = *k*/(*ρc*)_{
f
} is the thermal diffusivity of the fluid, *D*_{
B
} is the Brownian diffusion coefficient and *D*_{
T
} is the thermophoretic diffusion coefficient.

in which *U*_{0} is the reference velocity, *β*(*x*) is the suction and injection velocity when *β*(*x*) > 0 and *β*(*x*) < 0, respectively, *T*_{
w
} and *T*_{∞} are the temperatures of the sheet and the ambient fluid, *C*_{
w
}, *C*_{∞} are the nanoparticles volume fraction of the plate and the fluid, respectively.

*C*

_{ f }, Nusselt number

*Nu*

_{ x }and the local Sherwood number

*Sh*

_{ x }, which are defined as

where Re_{
x
} = *U*_{
w
}*x*/*ν* is the local Renolds number.

## 3 Solution by homotopy analysis method

*L*

_{ i }(

*i*= 1 - 3) are

*C*

_{1}to

*C*

_{7}are constants. From Equations (7)

*to*(9), we can define the following zeroth-order deformation problems

*ħ*

_{1},

*ħ*

_{2}, and

*ħ*

_{3}denote the non-zero auxiliary parameters,

*H*

_{1},

*H*

_{2}and

*H*

_{3}are the non-zero auxiliary function (

*H*

_{1}=

*H*

_{2}=

*H*

_{3}= 1) and

*p*varies from 0 to 1, then $\widehat{f}\left(\eta ,p\right)$, $\widehat{\theta}\left(\eta ,p\right)$, $\u011d\left(\eta ,p\right)$ vary from initial guesses

*f*

_{0}(

*η*),

*θ*

_{0}(

*η*) and

*g*

_{0}(

*η*) to the final solutions

*f*(

*η*),

*θ*(

*η*) and

*g*(

*η*), respectively. Considering that the auxiliary parameters

*ħ*

_{1},

*ħ*

_{2}and

*ħ*

_{3}are so properly chosen that the Taylor series of $\widehat{f}\left(\eta ,p\right)$, $\widehat{\theta}\left(\eta ,p\right)$ and $\u011d\left(\eta ,p\right)$ expanded with respect to an embedding parameter converge at

*p*= 1, hence Equations (17)-(19) become

in which ${a}_{m,0}^{0}$, ${a}_{m,n}^{k}$, ${A}_{m,n}^{k}$, ${F}_{m,n}^{k}$ are the constants and the numerical data of above solutions are shown through graphs in the following section.

## 4 Results and discussion

*ħ*

_{ i }(

*i*= 1, 2, 3,

*h*

_{1}=

*h*

_{2}=

*h*

_{3}), which can adjust and control the convergence of the solutions. Therefore, for the convergence of the solution, the

*ħ*-curves is plotted for velocity field in Figure 1. We have found the convergence region of velocity for different values of suction injection parameter

*v*

_{ w }. It is seen that with the increase in suction parameter

*v*

_{ w }, the convergence region become smaller and smaller. Almost similar kind of convergence regions appear for temperature and nanoparticle volume fraction, which are not shown here. The non-dimensional velocity

*f*′ against

*η*for various values of suction injection parameter is shown in Figure 2. It is observed that velocity field increases with the increase in

*v*

_{ w }. Moreover, the suction causes the reduction of the boundary layer. The temperature field

*θ*for different values of Prandtle number Pr, Brownian parameter

*Nb*, Lewis number

*Le*and thermophoresis parameter

*Nt*is shown in Figures 3, 4, 5 and 6. In Figure 3, the temperature is plotted for different values of Pr. It is observed that with the increase in Pr, there is a very slight change in temperature; however, for very large Pr, the solutions seem to be unstable, which are not shown here. The variation of

*Nb*on

*θ*is shown in Figure 4. It is depicted that with the increase in

*Nb*, the temperature profile increases. There is a minimal change in

*θ*with the increase in

*Le*(see Figure 5). The results remain unchanged for very large values of

*Le*. The effects of

*Nt*on

*θ*are seen in Figure 6. It is seen that temperature profile increases with the increase in

*Nt*; however, the thermal boundary layer thickness reduces. The nanoparticle volume fraction

*g*for different values of Pr,

*Nb*,

*Nt*and

*Le*is plotted in Figures 7, 8, 9 and 10. It is observed from Figure 7 that with the increase in

*Nb*, g decreases and boundary layer for

*g*also decreases. The effects of Pr on

*g*are minimal. (See Figure 8). The effects of

*Le*on

*g*are shown in Figure 9. It is observed that

*g*decreases as well as layer thickness reduces with the increase in

*Le*. However, with the increase in

*Nt*,

*g*increases and layer thickness reduces (See Figure 10).

## Declarations

### Acknowledgements

This research was supported by WCU (World Class University) program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology R31-2008-000-10049-0.

## Authors’ Affiliations

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## Copyright

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.