Effect of Brownian Motion and Thermophoresis on a Nonlinearly Stretching Permeable Sheet in a Nanofluid

We analyse the influence of Brownian motion and thermophoresis on a nonlinearly permeable stretching sheet in a nanofluid. The governing partial differential equations are reduced into a system of ordinary differential equations using similarity transformation and then solved numerically using the Runge-Kutta with shooting technique. Effects of Brownian motion and thermophoresis on the flow, concentration, temperature, and mass transfer and heat transfer characteristics are investigated. The local Nusselt number and the local Sherwood numbers are presented and compared with existing results and are found to be in good agreement.

• Heat Transfer
• Nanofluid
• Boundary Layer
• Flow
• Stretching Sheet

1. Introduction

Nanofluids attract a great deal of interests with their enormous potential to provide enhanced performance properties, particularly with respect to heat transfer. Nanofluids are used for cooling of microchips in computers and other electronics which use microfluidic applications. Using nanofluids as coolants would allow for the radiators with smaller sizes and better positioning. Das et al. [1] experimentally showed a two- to four-fold increase in thermal conductivity enhancement for water-based nanofluids containing Al₂O₃ or CuO nanoparticles over a small temperature range of 21˚C - 51˚C. A comprehensive survey of convective transport in nanofluids has been made by Buongiorno [2] , who gave a satisfactory explanation for the abnormal increase of the thermal conductivity. Buongiorno and Hu [3] studied on the nanofluid coolants in advanced nuclear systems. Ahmad and Pop [4] investigated mixed convection boundary layer flow from a vertical flat plate embedded in a porous medium filled with nanofluids. Boundary layer flow of nanofluids over a moving surface in a flowing fluid was examined by Bachok et al. [5] . Khan and Pop [6] discussed the boundary-layer flow of a nanofluid past a stretching sheet. Makinde and Aziz [7] explained the boundary layer flow of a nanofluid past a stretching sheet with a convective boundary condition. Because of the materials with nanometer sizes having unique physical and chemical properties, they can flow through very thinly channels without clotting them. Khanafer et al. [8] explained the behavior of the liquid molecules in thinly channels. The viscosity and thermal conductivity on hydromagnetic flow over a nonlinear stretching sheet was discussed by Prasad et al. [9] . Kumari and Nath [10] analysed the flow and heat transfer of a MHD Newtonian fluid over impulsively stretched plane surface by using an analytical method namely homotopy analysis. The thermal conductivity of solid particles which is several times more than that of the base or convectional fluids was discussed by Das et al. [11] in the book nanofluids science and technology. In this book they clearly explained the thermal properties and behavior of the particles at different temperatures. The researchers Kumaran and Ramanaiah [12] , Elbashbeshy [13] proved that stretching is not necessarily being a linear and they extended their research on flow over a quadratic stretching sheet and nonlinearly stretching sheet respectively. The heat transfer characteristics of the base fluids facing major obstacle to the effectives in heat exchange were discussed by Daungthongsuk and Wongwises [14] . Oztop and Abu-Nada [15] discussed the heat transfer characteristics on nanofluids by immersing the high conductivity nanomaterials in base fluids and they concluded that the effective thermal conductivity of the fluid increases appreciably and consequently enhances the heat transfer characteristics by suspending the high thermal conductivity of nanomaterials into the base fluids. The two-dimensional mixed convection boundary layer MHD stagnation point flow in porous medium bounded by a stretching vertical plate was studied by Hayat et al. [16] . They assumed that the stretching velocity and the surface temperature vary linearly along with the distance from stagnation point. The flow of an electrically conducting fluid in presence of uniform magnetic field over a stretching elastic sheet was studied by Pavlov [17] . By employing Darcy model for the porous medium, Cheng and Minkowycz [18] discussed a problem of natural convection past a vertical plate. They found the effect of Brownian motion and thermophoresis parameters on the velocity and temperature profiles. The transition effect of the boundary layer flow due to suddenly imposed magnetic field on the viscous flow past a stretching sheet and sudden withdrawal of a magnetic field on the viscous flow past a stretching sheet under a magnetic field is discussed by Kumaran et al. [19] . They found that in both cases the sheet stretches linearly along the direction of the fluid flow. Sandeep et al. [20] discussed radiation effects on unsteady natural convective flow of a nanofluid past an infinite vertical plate. Mohan Krishna et al. [21] extended this work by considering heat source effect and different nanofluids.

However, to the best of authors’ knowledge, no attempt has been made to analyse the simultaneous effects of thermal radiation, Brownian motion and thermophoresis on the rate of heat and mass transfer flow of nanofluids over a non-linear stretching sheet. Hence, it is the reason why this problem is investigated.

2. Mathematical Formulation

Here, consideration is given to a steady, laminar, and incompressible and two dimensional boundary layer flow and heat transfer of a nanofluid past a permeable stretching/shrinking sheet. The pressure gradient and other external forces are neglected. Applying the boundary layer approximation, the governing equations for the conservation of mass, momentum, thermal energy and nanoparticle concentration are expressed as follows:

The boundary conditions for Equations (1)-(4) are:

where l is the stretching/shrinking parameter, with l > 0 for a stretching surface and l < 0 for a shrinking surface.

By using Roseland approximation, the radiation heat flux q_r is given by:

where and are the Stefan-Boltzmann constant and the mean absorption coefficient respectively. Considering the temperature differences within the flow sufficiently small such that may be expressed as the linear function of temperature. Then expanding in Taylor series about and neglecting higher-order terms takes the form:

In view of Equation (3) reduces to

Further, we seek for a similarity solution of Equations (1) to (4) subject to the boundary conditions (5). The governing partial differential forms can be solved by converting them to ordinary differential equations; this is done by using similarity functions:

, ,

,

, (9)

where prime denotes differentiation with respect to eta (η). To have similarity solution of Equations (1) to (5),

we assume:, where the constant parameter S corresponds to suction (S > 0). By applying

these similarity variables on the governing partial differential equations, transformed conservation equations and boundary conditions are then obtained as follows:

Boundary Conditions

However, the quantities of physical and engineering interest are the reduced Nusselt number () and reduced Sherwood number (). From the knowledge of the Nusselt number, the local convection coefficient may be found and the local heat flux may then be computed. The reduced Sherwood number on the other hand is the parameter that defines the dimensionless concentration gradient at the surface, and it provides a measure of the convection mass transfer occurring at the surface. The skin friction coefficient can be used to compute stresses developing at the wall.

The local heat transfer rate (Local Nusselt) number is given by

And then the local Sherwood number is;

where and denotes the wall heat and mass flux rates respectively.

3. Reduction of the Ordinary Differential Equations

The set of Equations (10) to (12) under the boundary conditions (16) have been solved numerically using shooting technique. We consider:. Equations (10) to (12) are transformed into systems of first order differential equations. We assume the unspecified initial guesses for the transformed boundary conditions and integrated the equations numerically as an initial valued problem.

4. Results and Discussion

The results obtained shows the influences of the non-dimensional governing parameters, namely Radiation parameter R, Suction parameter S, Lewis number Le, thermophoresis parameter N_t and Brownian motion parameter N_b on temperature profile, nanoparticle concentration profile, a the local Nusselt number and the Sherwood number. For numerical results we used Le = 2, Ec = 0.5, n = 2, S = 2 and l = 2 for different values of N_b, N_t and R in entire study. These values are kept constant except the varied values shown in the figures. The numerical results obtained, i.e., the present results for Nusselt number and Sherwood number were compared with those obtained by Khairy, Anuar Ishak and Ioan Pop [22] for the case of a stretching surface by setting R = 0, Le = 2, n = 2, N_b = 0.5, N_t = 0.5 and Pr = 6.2.

In order to get a clear insight of the physical problem, numerical computation have been carried out as described above for various values of different parameters (Table 1).

To assess the accuracy of the method, the results are compared with those reported in literature by Khairy, Anuar and Ioan Pop [22] . The results are found to be in good agreement.

Figure 1 and Figure 2 illustrate the effect of themophoresis on the temperature and the rate of heat transfer respectively. Both these figures show the variation of the temperature and the heat transfer profiles with increasing thermophoresis parameter.

With increase thermophoresis parameter, both figures show that the boundary layer thickness increases, leading to increase in temperature. The rate of heat transfer increases rapidly initially (up to the point h = 0.4) and later decreases to a non-zero value. In Figure 3 and Figure 4, with increasing thermophoresis, the concentration boundary layer thickness increases while for the rate of mass transfer, the boundary layer thickness reduces. These show that while concentration increases within the boundary layer, the rate of mass transfer reduces.

Table 1

Values of (0) and (0) for different values of S and l when n = 2, Le = 2, N t = 0.5, N b = 0.5 and Pr = 6.2 with Khairyzaimi, Anuar and Ioan Pop [ 22 ]

		Khairyzaimi, Anuar and Ioan Pop [22]		Present results
S	l	(0)	(0)	(0)	(0)
2.5	−0.5	7.887191	−6.070289	7.88719	−6.07029
3.0	2.0	7.984141	−4.499616	7.9841	−4.4996
3.5	−0.5	10.790697	−8.043106	10.7907	−8.0431
4.0	2.0	10.750182	−6.361137	10.7502	−6.3611
5.0	−0.5	15.266129	−11.207552	15.2661	−11.2076
2.5	2.0	7.151258	−4.446270	7.1513	−4.4463
3.0	−0.5	9.681430	−6.311584	9.6814	−6.3116
3.5	2.0	9.366247	−5.434047	9.3663	−5.4305
4.0	−0.5	12.274461	−9.083765	12.2745	−9.0838
5.0	2.0	14.788043	−10.216636	14.7795	−10.2166

Figure 1

Effect of thermophoresis on temperature profiles q (h)

Figure 2

Effect of thermophoresis on rate of heat transfer (h)

Figure 3

Effect of thermophoresis on concentration profiles f(h)

Figure 4

Effect of thermophoresis on rate of mass transfer (h)

We now concentrate on the effects of Brownian motion on the temperature, concentration, rate of heat transfer and the rate of mass transfer. In Figure 5 and Figure 6, with increasing Brownian motion parameter the temperature and rate of heat transfer boundary layer thickness increase. This shows increasing temperature leading to heating while the heat transfer rate increases rapidly (up to the point, h = 0.3) and decreases thereafter. With Figure 7 and Figure 8, we see decreasing concentration with increasing Brownian motion parameter while the rate of mass transfer increases with increasing Brownian motion parameter.

Next, we look at the effects of the stretching parameter. Figure 9 and Figure 10 depict the effects of the stretching parameter (l) on the velocity and the skin friction. It is seen that increasing stretching parameter leads to increase in velocity and decrease in the skin friction. On the other hand, Figure 11 and Figure 12 show increase in temperature and decrease in concentration with increasing stretching parameter.

Figure 13 and Figure 14 show that with increasing stretching parameter, the rate of heat transfer increases initially and later decreases rapidly while the rate of mass transfer increases with increasing stretching parameter.

5. Conclusions

This study analysed the influence of Brownian motion and thermophoresis in nonlinearly permeable stretching

Figure 5

Effect of Brownian motion on temperature profiles q (h)

Figure 6

Effect of Brownian motion on rate of heat transfer (h)

Figure 7

Effect of Brownian motion on concentration profiles f(h)

Figure 8

Effect of Brownian motion on rate of mass transfer (h)

Figure 9

Velocity profiles ¦¢(h) with variation in stretching parameter (l) for a stretching case, when N b = 0.5 and N t = 0.5

Figure 10

Skin friction ¦¢¢(h) with variation in stretching parameter (l) for a stretching case, when N b = 0.5 and N t = 0.5

Figure 11

Temperature profiles q(h) with variation in stretching parameter (l) for a stretching case, when N b = 0.5 and N t = 0.5

Figure 12

Showing concentration profiles f(h) with variation in stretching parameter (l) for a stretching case, when N b = 0.5 and N t = 0.5

Figure 13

Rate of heat transfer (reduced Nusselt) (h) with variation in stretching parameter (l) for a stretching case, when N b = 0.5 and N t = 0.5

Figure 14

Rate of mass transfer (Reduced Sherwood) (h) with variation in stretching parameter (l) for a stretching case, when N b = 0.5 and N t = 0.5

sheet in a nanofluid. The non-linear partial differential equations and their associated boundary conditions have been transformed to non-dimensional ordinary differential equations using the similarity transformations and the resultant initial value problem is solved by an iterative Runge-Kutta method along with shooting technique. The present results are compared with the existing results in literature and were found to agree well. The influences of the governing parameters on the temperature, concentration, heat and mass transfer rates have been systematically examined. From the present numerical investigation, the following conclusion can be made:

1) There is a rise in the temperature with an increase in the thermophoresis parameter or Brownian motion parameter or stretching parameter.

2) Species concentration decreases with an increase in Brownian motion while the concentration increases for an increase in the values of the thermophoresis parameter.

3) A rising value in N_b and the decreasing in N_t produce a decrease in the nanoparticle concentration, and as a result increase in the Sherwood number.

Nomenclature

a: a positive constant

u, v: velocity components in x and y directions respectively

l: the stretching/shrinking parameter (l > 0 for stretching surface and l < 0) for shrinking surface

: Brownian diffusion coefficient

: thermophoretic diffusion coefficient

: Brownian motion parameter, defined Nomenclature

Le: Lewis number

: thermophoresis parameter

: reduced Nusselt number

Pr: Prandtl number

m: wall mass flux

w: wall heat flux

Re_x: local Reynolds number

: reduced Sherwood number

: sheet surface (wall) temperature

: ambient temperature

x: coordinate along the sheet

y: coordinate normal to the sheet

C: nanoparticle volume fraction

: nanoparticle volume fraction at the sheet surface (wall)

: nanoparticle volume fraction at large values of y (ambient)

Greek symbols

: heat capacity of the base fluid

: heat capacity of the nanoparticle material

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