# The Influence of Slip Boundary Condition on Casson Nanofluid Flow over a Stretching Sheet in the Presence of Viscous Dissipation and Chemical Reaction

Authors: Ahmed A. Afify
Journal: Mathematical Problems in Engineering
 (2017)

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## Abstract

The impacts of multiple slips with viscous dissipation on the boundary layer flow and heat transfer of a non-Newtonian nanofluid over a stretching surface have been investigated numerically. The Casson fluid model is applied to characterize the non-Newtonian fluid behavior. Physical mechanisms responsible for Brownian motion and thermophoresis with chemical reaction are accounted for in the model. The governing nonlinear boundary layer equations through appropriate transformations are reduced into a set of nonlinear ordinary differential equations, which are solved numerically using a shooting method with fourth-order Runge-Kutta integration scheme. Comparisons of the numerical method with the existing results in the literature are made and an excellent agreement is obtained. The heat transfer rate is enhanced with generative chemical reaction and concentration slip parameter, whereas the reverse trend is observed with destructive chemical reaction and thermal slip parameter. It is also noticed that the mass transfer rate is boosted with destructive chemical reaction and thermal slip parameter. Further, the opposite influence is found with generative chemical reaction and concentration slip parameter.


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## Body

## 1. Introduction

Nowadays, nanofluids have been utilized as the working fluids instead of the base fluids due to their high thermal conductivity. Choi [1] is the first researcher who established fluids containing a suspension of nanosize particles which are termed the nanofluids. Lee et al. [2] confirmed that the nanofluids possess outstanding heat transfer characteristics compared to those of base fluids. Later on, many investigators [3–7] have indicated that the nanofluids enhanced thermophysical characteristics and heat transfer behavior compared to the base fluids. The thermal conductivity enhanced by 40% when copper nanoparticles with the volume fraction less than 1% are added to the ethylene glycol or oil was studied by Eastman et al. [3]. The enhancement of thermal conductivity of various nanofluids was reviewed by Aybar et al. [4]. They confirmed that the addition of nanoparticles in the fluids increases the thermal conductivity. Wang et al. [5] discussed the viscosity of Al2O3 and CuO nanoparticles dispersed in water, vacuum pump fluid, engine oil, and ethylene glycol. Their results indicated that 30% enhancement with Al2O3/water nanofluid at 3% volume concentration is obtained. Afify and Bazid [6] investigated the impacts of variable viscosity and viscous dissipation on the boundary layer flow and heat transfer along a moving permeable surface immersed in nanofluids. The influences of thermal radiation and particle shape on the Marangoni boundary layer flow and heat transfer of nanofluid driven by an exponential temperature were examined by Lin et al. [7].Buongiorno, [8] modified the reasons behind the enhancement of heat transfer of nanofluids. Recently, many researchers [9–15] have effectively applied Buongiorno’s model [8]. Nield and Kuznetsov [9] presented the influence of Brownian motion and thermophoresis on natural convection boundary layer flow past a vertical plate suspended in a porous medium. The steady two-dimensional boundary layer flow of a nanofluid past a stretching surface was examined by Khan and Pop [10]. Nield and Kuznetsov [11] discussed the impact of Brownian motion and thermophoresis on the double-diffusive nanofluid convection past a vertical plate embedded in a porous medium. Makinde and Aziz [12] discussed the influence of a convective boundary, Brownian motion, and thermophoresis on the steady two-dimensional boundary layer flow of a nanofluid past a stretching sheet. Rana et al. [13] numerically examined the Brownian motion and thermophoresis effects on the steady mixed convection boundary layer flow of nanofluid past an inclined plate embedded in a porous medium. The influence of variable fluid properties with Brownian motion and thermophoresis on the natural convective boundary layer flow in a nanofluid past a vertical plate was numerically studied by Afify and Bazid [14]. Recently, Makinde et al. [15] numerically examined the effects of variable viscosity, thermal radiation, and magnetic field on convective heat transfer of nanofluid over a stretching surface.Non-Newtonian nanofluids are widely encountered in many industrial and technological applications, such as the dissolved polymers, biological solutions, paints, asphalts, and glues. The power-law non-Newtonian nanofluid along a vertical plate and a truncated cone saturated in a porous medium were analyzed by Hady et al. [16] and Cheng [17], respectively. Rashad et al. [18] investigated the natural convection of non-Newtonian nanofluid around a vertical permeable cone. The influence of Soret and Dufour on the mixed convective flow of Maxwell nanofluid over a permeable stretched surface was examined by Ramzan et al. [19]. Several authors [20–23] have analytically solved the problem of non-Newtonian nanofluids in various aspects using the homotopy analysis method (HAM). Abou-Zeid et al. [24] examined the impact of viscous dispersion on the mixed convection of gliding motion of bacteria on power-law nanofluids through a non-Darcy porous medium. The influence of nonuniform heat source/sink with the Brownian motion and thermophoresis on non-Newtonian nanofluids over a cone was illustrated by Raju et al. [25].The Casson fluid model is classified as a subclass of non-Newtonian fluid which has several applications in food processing, metallurgy, drilling operations, and bioengineering operations. The Casson fluid model was discovered by Casson in 1959 for the prediction of the flow behavior of pigment-oil suspensions [26]. Boundary layer flow of Casson fluid and Casson nanofluid flow over different geometries was considered by many authors [27–30]. Mustafa et al. [27] analytically discussed the unsteady boundary layer flow of a Casson fluid over a moving flat plate using the homotopy analysis method (HAM). Nadeem et al. [28] examined the analytical solution of convective boundary conditions for the steady stagnation-point flow of a Casson nanofluid. Makanda et al. [29] studied the numerical solution of MHD Casson fluid flow over an unsteady stretching surface saturated in a porous medium with a chemical reaction effect. Recently, Hayat et al. [30] investigated the combined effects of the variable thermal conductivity and viscous dissipation on the boundary layer flow of a Casson fluid due to a stretching cylinder.The chemical reaction influence is a significant factor in the study of heat and mass transfer for many branches of science and engineering. A chemical reaction between the base liquid and nanoparticles may regularly occur either throughout a given phase (homogeneous reaction) or in an enclosed region (boundary) of the phase (heterogeneous reaction). Das et al. [31] investigated numerically the effects of chemical reaction and thermal radiation on the heat and mass transfer of an electrically conducting incompressible nanofluid over a heated stretching sheet. The effect of time-dependent chemical reaction on stagnation-point flow and heat transfer of nanofluid over a stretching sheet was presented by Abd El-Aziz [32]. El-Dabe et al. [33] studied the impact of chemical reaction, heat generation, and radiation on the MHD flow of non-Newtonian nanofluid over a stretching sheet embedded in a porous medium. Eid [34] proposed the numerical analysis of MHD mixed convective boundary layer flow of a nanofluid through a porous medium along an exponentially stretching sheet in the presence of chemical reaction and heat generation or absorption effects. Recently, Afify and Elgazery [35] discussed the influences of the convective boundary condition and chemical reaction on the MHD boundary layer flow of a Maxwell nanofluid over a stretching surface.All these previous studies restricted their discussions on conventional no-slip boundary conditions. However, both velocity slip and temperature jump at the wall have numerous benefits in many practical applications such as micro- and nanoscale devices. In 1823, Navier [36] became the first person to create the slip boundary condition and suggested that the slip velocity is linearly proportional to the shear stress at the wall. Following him, many researchers [37–42] have widely studied the velocity slip and temperature jump at the wall over various geometries placed in viscous fluids and nanofluids. The impacts of slip and convective boundary condition on the unsteady three-dimensional flow of nanofluid over an inclined stretching surface embedded in a porous medium were numerically discussed by Rashad [37]. Afify et al. [38] used Lie symmetry analysis to investigate the effects of slip flow, Newtonian heating, and thermal radiation on MHD flow and heat transfer along the permeable stretching sheet. EL-Kabeir et al. [39] examined the numerical solution for mixed convection boundary layer flow of Casson non-Newtonian fluid about a solid sphere in the presence of thermal and solutal slip conditions. Afify [40] examined the impact of slips and generation/absorption on an unsteady boundary layer flow and heat transfer over a stretching surface immersed in nanofluids. Abolbashari et al. [41] presented an analytical solution to analyze the heat and mass transfer characteristics of Casson nanofluid flow induced by a stretching sheet with velocity slip and convective surface boundary conditions. Recently, Uddin et al. [42] discussed the effects of Navier slip and variable fluid properties on the forced convection of nanofluid and heat transfer over a wedge. The objective of the present paper is to investigate the influences of chemical reaction, viscous dissipation, velocity, and thermal and concentration slip boundary conditions in the presence of nanoparticles attributable to Brownian diffusion and thermophoresis on flow and heat transfer of Casson fluid over a stretching surface. To the best of the author’s knowledge, this work has not been previously studied in the scientific research. Numerical results for the velocity, temperature, and nanoparticle concentration fields are plotted. The friction factor and the heat and mass transfer rates are also tabulated and discussed. The present paper confirmed that the nanoparticles embedded in Casson fluid have many practical applications such as nuclear reactors, microelectronics, chemical production, and biomedical fields.


## 2. Mathematical Formulation

Consider the steady boundary layer flow of an incompressible Casson nanofluid past a stretching surface. The sheet is stretched with a linear velocityuw(x)=bx, where b is the positive constant. The x-axis is directed along the continuous stretching sheet and the y-axis is measured normal to the x-axis. It is assumed that the flow takes place for y>0. The temperature and the nanoparticle concentration are maintained at prescribed constant values Tw, Cw at the surface and T∞ and C∞ are the fixed values far away from the surface. It is also assumed that there is a first-order homogeneous chemical reaction of species with reaction rate constant, K0. The flow configuration is shown in Figure 1. The rheological equation of state for an isotropic and incompressible flow of Casson fluid is given by Eldabe and Salwa [43]:(1)τij=2μB+py2πeij,π>πc,2μB+py2πceij,π<πc,where μB is the plastic dynamic viscosity of the non-Newtonian fluid, py is the yield stress of fluid, π is the product of the component of deformation rate and itself, namely, π=eijeij,eij is the (i,j) component of the deformation rate, and πc is a critical value of π based on non-Newtonian model. Under the boundary layer approximations the governing equations of Casson nanofluid can be expressed as follows (Buongiorno [8] and Haq et al. [44]): (2)∂u∂x+∂v∂y=0,(3)u∂u∂x+v∂u∂y=υ1+1β∂2u∂y2,(4)u∂T∂x+v∂T∂y=α∂2T∂y2+τDB∂C∂y∂T∂y+DTT∞∂T∂y2+1+1βμρcp∂u∂y2,(5)u∂C∂x+v∂C∂y=DB∂2C∂y2+DTT∞∂2T∂y2-K0C-C∞,subject to the boundary conditions:(6)u=uw+1+1βNρν∂u∂y,v=0,T=Tw+K1∂T∂y,C=Cw+K2∂C∂yaty=0,u=0,T=T∞,C=C∞asy⟶∞,where u and v are the velocity components along the x- and y-axes, respectively, ρf is the density of base fluid, ν is the kinematic viscosity of the base fluid, α=k/ρcp is the thermal diffusivity of the base fluid, τ=ρcp/ρcf is the ratio of nanoparticle heat capacity and the base fluid heat capacity, DB is the Brownian diffusion coefficient, and DT is the thermophoretic diffusion coefficient. Furthermore, N, K1, and K2 are velocity, thermal, and concentration slip factor. The following nondimensional variables are defined as (7)η=bν1/2y,ψx,y=bν1/2xfη,θη=T-T∞Tw-T∞,ϕη=C-C∞Cw-C∞.The continuity equation (2) is satisfied by introducing the stream function ψx,y such that(8)u=∂ψ∂y,v=-∂ψ∂x.In view of the above-mentioned transformations, (3)–(6) are reduced to(9)1+1βf′′′+ff′′-f′2=0,(10)1Prθ′′+fθ′+Nbϕ′θ′+Ntθ′2+1+1βEcf′′2=0,(11)ϕ′′+Lefϕ′+NtNbθ′′-Leχϕ=0,(12)f0=0,f′0=1+λ1+1βf′′0,θ0=1+γθ′0,ϕ0=1+δϕ′0,f′∞=0,θ∞=0,ϕ∞=0.Here prime denotes differentiation with respect to η, f is similarity function, θ is the dimensionless temperature, ϕ is the dimensionless nanoparticle volume fraction, Pr=ν/α is Prandtl number, Le=ν/DB is Lewis number, γ=K1b/ν1/2 is the thermal slip parameter, β=μB2πc/py is the Casson parameter, λ=Nρνb1/2 is the slip parameter, δ=K2b/ν1/2 is the concentration slip parameter, Ec=uw2/cpTw-T∞ is the Eckert number, χ=K0/b is the chemical reaction parameter, Nb=ρcpDB(Cw-C∞)/ρcfν is the Brownian motion parameter, and Nt=ρcpDT(Tw-T∞)/ρcfνT∞ is the thermophoresis parameter, respectively. It should be mentioned here that χ≻0 indicates a destructive chemical reaction while χ≺0 corresponds to a generative chemical reaction. The quantities of physical interest in this problem are the local skin friction coefficient, Cfx, the local Nusselt number, Nux, and local Sherwood number, Shx, which are defined as (13)Cfx=τwρuw2,Nux=xqwkTw-T∞,Shx=xqmDBCw-C∞,where τw is the shear stress and qw and qm are, respectively, the surface heat and mass flux which are given by the following expressions:(14)τw=μB+py2πc∂u∂yy=0,qw=-k∂T∂yy=0,qm=-DB∂C∂yy=0.The dimensionless forms of skin friction, the local Nusselt number, and the local Sherwood number become(15)Rex1/2Cf=1+1βf′′0,NuxRex1/2=-θ′0,ShxRex1/2=-ϕ′0,where Rex=xuw/ν is the local Reynolds number.Figure 1
Physical model and coordinate system.


## 3. Numerical Procedure

The nonlinear differential equations (9)–(11) along with the boundary conditions (12) constitute a two-point boundary value problem (BVP) and they are solved numerically using shooting method, by converting them into an initial value problem (IVP). In this method, the system of (9)–(11) is reduced to the following system of first-order ordinary differential equations:(16)f′=p,p′=q,q′=β1+βp2-fq,θ′=z,ϕ′=s,z′=-Prfz+Nbsz+Ntz2+1+1βEcq2,s′=Leχϕ-fs-NtNbz′with the initial conditions(17)f0=0,p0=1+λ1+1βq0,θ0=1+γz0,ϕ0=1+δs0.The initial guess values of q(0), that is, f′′(0), z(0), that is, θ′(0), and s(0), that is, ϕ′(0), are chosen, and the initial value problem (16)-(17) is solved repeatedly by using fourth-order Runge-Kutta method. Then the calculated values of f′(η), θ(η), and ϕ(η) at η∞(=8) are compared with the given boundary conditions f′(η∞)=0, θ(η∞)=0, and ϕ(η∞)=0, and the values of f′′(0), θ′(0), and ϕ′(0) are adjusted by “secant method” to give a better approximation for the solution. The step size is taken as Δη=0.001. A convergence criterion based on the relative difference between the current and previous iteration values is employed. When the difference reaches less than 10-6, the solution is assumed to converge and the iterative process is terminated. Tables 1–3 ensure the validation of the present numerical solutions with the previous literature. It is observed that the obtained results are in excellent agreement with the published work [10, 12, 41, 45, 46]. Numerical calculations were performed in the ranges 0.3≤β≤∞, 0≤λ≤3, 0≤γ<4, 0≤δ≤3, 0.1≤Nt≤0.6, 0.1≤Nb≤0.6, 1≤Pr≤10, -0.3≤χ≤0.5, and 1≤Le≤10 with 0.1≤Ec≤1.Table 1
Comparison of results for-θ′0 with different values of Pr, when β→∞ and Ec=δ=χ=γ=λ=N=Nt=Le=0.
Pr
-
θ
′
0
-
θ
′
0
-
θ
′
0
-
θ
′
0
-
θ
′
0
Khan and Pop [10]
Makinde and Aziz [12]
Alsaedi et al. [45]
Abolbashari et al. [41]
Present results
0.07
0.0663
0.0656
0.0663
—
0.0662
0.20
0.1691
0.1691
0.1691
0.1691
0.1691
0.70
0.4539
0.4539
0.4539
0.4539
0.4538
2.0
0.9113
0.9114
0.9113
0.9114
0.9113
7.0
1.8954
1.8954
—
1.8954
1.8954Table 2
Comparison of results for-θ′0 and -ϕ′(0) with Nb and Nt for β→∞, Ec=δ=χ=γ=λ=0, and Le=Pr=10.
N
b
N
t
-
θ
′
0
-
θ
′
0
-
ϕ
′
(
0
)
-
ϕ
′
(
0
)
Noghrehabadi et al. [46]
Present results
Noghrehabadi et al. [46]
Present results
0.1
0.1
0.952377
0.952376
2.129394
2.129389
0.3
0.520079
0.520079
2.528638
2.528635
0.5
0.321054
0.321054
3.035142
3.035144
0.2
0.1
0.505581
0.505581
2.381871
2.381876
0.3
0.273096
0.273096
2.655459
2.655457
0.5
0.168077
0.168077
2.888339
2.888336
0.3
0.1
0.252156
0.252156
2.410019
2.410015
0.3
0.135514
0.135514
2.608819
2.608817
0.5
0.083298
0.083298
2.751875
2.751873Table 3
Comparison of results for-θ′0 and -φ′0 with Nb and Nt for β→∞, Ec=δ=χ=γ=0,λ=0.5, and Le=Pr=10.
N
b
N
t
-
θ
′
0
-
θ
′
0
-
ϕ
′
(
0
)
-
ϕ
′
(
0
)
Noghrehabadi et al. [46]
Present results
Noghrehabadi et al. [46]
Present results
0.1
0.1
0.799317
0.799310
1.787171
1.787142
0.3
0.436495
0.436492
2.122251
2.122243
0.5
0.269457
0.269454
2.547353
2.547347
0.2
0.1
0.424328
0.424324
1.99907
1.99904
0.3
0.229206
0.229204
2.228691
2.228688
0.5
0.141064
0.141061
2.424144
2.424139
0.3
0.1
0.211631
0.211630
2.022696
2.022672
0.3
0.113735
0.113731
2.189547
2.189539
0.5
0.069911
0.069921
2.309612
2.309609


## 4. Results and Discussions

The nonlinear ordinary differential equations (9)–(11) subject to the boundary conditions (12) are solved numerically by using a shooting method with the fourth-order Runge-Kutta integration scheme. For various physical parameters, the numerical values of the friction factor (in terms of the wall velocity gradient, f′′(0)), Nusselt number (in terms of heat transfer rate, -θ′(0)), and local Sherwood number (in terms of mass transfer rate, -ϕ′(0)) are shown in Tables 4 and 5, for both cases of Newtonian (β→∞) and non-Newtonian flows. From Table 4, it is seen that the magnitude of the friction factor and the heat and mass transfer rates reduce with an increase in the slip parameter, λ. Physically, the presence of a slip parameter generates a resistive force adjacent to a stretching surface which diminishes the friction factor and heat and mass transfer rates. One can observe that the heat transfer rate reduces with an increase in the thermal slip parameter, γ, whereas the opposite results effect is seen in the mass transfer rate. Additionally, it is noticed that the heat transfer rate is enhanced with an increase in concentration slip parameter, δ, whereas the opposite results effect is seen in the mass transfer rate. It is clear that the magnitude of the friction factor and the mass transfer rate diminish with an increase in Casson parameter, β. For the non-Newtonian nanofluid case (0.3≤β≤4), the heat transfer rate is enhanced, whereas the opposite results hold with the Newtonian nanofluid case (β→∞). From Table 5, it is also noticed that the heat transfer rate diminishes with an increase in Brownian motion, Nb, and thermophoresis parameter, Nt. Physically, the presence of solid nanoparticles within the conventional working fluid generates a force normal to the imposed temperature gradient which is defined as thermophoretic force. This force has the tendency to move the nanoparticles of high thermal conductivity towards the cold fluid at the ambient. This causes an increase in the temperature of the fluid, but on the contrary, the heat transfer rate reduces within the thermal boundary layer as shown in Figure 9. On the other hand, the mass transfer rate augments with an increase in Brownian motion, Nb, and thermophoresis parameter, Nt. These results are identical to those declared by Khan and Pop [10]. In addition, the heat transfer rate is boosted with generative chemical reaction case χ≺0 whereas the opposite results hold with destructive chemical reaction case χ≻0. With destructive chemical reaction case χ≻0, the mass transfer rate is enhanced, whereas the opposite results hold with generative chemical reaction case χ≺0. It is noticed that the heat transfer reduces with increasing Eckert number, Ec, whereas the reverse trend is seen in the mass transfer. Physically, the presence of Eckert number produces viscous heating which decreases the heat transfer rate at the moving plate surface. Figures 2–18 are drawn in order to see the influence of slip parameter, λ, thermal slip parameter, γ, concentration slip parameter, δ, Brownian motion parameter, Nb, thermophoresis parameter, Nt, chemical reaction parameter, χ, and Eckert number, Ec, on the velocity, the temperature, and the nanoparticle concentration distributions for both cases of Newtonian and non-Newtonian fluids, respectively. The influences of the slip parameter, λ, on the velocity, f′(η), the magnitude of the skin friction coefficient, f′′(0), the temperature, θ(η), and the nanoparticle concentration profiles, ϕ(η), are shown in Figures 2–4. It is noted from Figures 2–4 that the velocity profile and the magnitude of the skin friction coefficient reduce with an increase in slip parameter, whereas the reverse trend is seen for temperature and nanoparticle concentration profiles. This is due to the fact that a rise in slip parameter, λ, causes a decrease in the surface skin friction between the stretching sheet and the fluid. On the other hand, an increase in the slip factor generates the friction force which allows more fluid to slip past the sheet and the flow decelerating, and the temperature and the nanoparticle concentration fields are enhanced owing to the occurrence of the force. For non-Newtonian fluids, the impact of slip factor is more pronounced in comparison with the Newtonian flow. These results are similar to those reported by Noghrehabadi et al. [46]. Figures 5 and 6 depict the impacts of the thermal slip parameter, γ, on the temperature, and the nanoparticle concentration distributions. It is found from Figures 5 and 6 that the temperature and the nanoparticle concentration distributions reduce with an increase in the thermal slip parameter. Physically, an increase in the thermal slip parameter leads to diminishing the heat transfer inside the boundary layer regime. The temperature distribution for non-Newtonian fluid is more pronounced for all values of γ than Newtonian fluid. The concentration distribution of Newtonian fluid is more pronounced for all values of γ than non-Newtonian fluid. Figures 7 and 8 illustrate the effects of the concentration slip parameter, δ, on the temperature and the nanoparticle concentration profiles. It is observed from Figures 7 and 8 that the temperature and nanoparticle concentration profiles reduce with an increase in concentration slip parameter. The temperature profile for non-Newtonian fluid is more pronounced with a rise in δ than Newtonian fluid. The nanoparticle concentration in the case of Newtonian flow is higher than that of non-Newtonian fluid for all values of δ. The influences of the thermophoresis parameter, Nt, on the temperature and the concentration fields are displayed in Figures 9 and 10. It is observed that the temperature and the nanoparticle concentration fields are enhanced with an increase in thermophoresis parameter. Physically, an increase in the thermophoresis parameter leads to an increase in the thermophoretic force inside a fluid regime, which causes an enhancement of the temperature and nanoparticle concentration fields. It is found that the increment in the temperature and the nanoparticle concentration fields for Newtonian fluid due to thermophoresis parameter is higher than that of non-Newtonian fluid. Figures 11 and 12 present the impacts of the Brownian motion parameter, Nb, on the temperature and the concentration distributions. It is noticed that the temperature distribution augments with an increase in the Brownian motion parameter, whereas the reverse trend is observed for the concentration profile. Physically, the increase in Brownian motion helps to warm the boundary layer which tends to move nanoparticles from the stretching sheet to the quiescent fluid. Hence the concentration nanoparticle reduces. It is easily noticeable that the temperature and concentration distributions of Newtonian fluid are more pronounced for all values of Nb than non-Newtonian fluid. The effects of the thermophoresis parameter, Nt, Brownian motion parameter, Nb, and chemical reaction parameter, χ, on the concentration profile for a non-Newtonian fluid are presented in Figures 13 and 14. It is noticed from Figures 13 and 14 that the concentration profile diminishes with an increase in the chemical reaction parameter. It is also noticed that nanoparticle concentration and concentration boundary layer thickness increase with the generative chemical reaction case χ<0 whereas the reverse trend is observed in the destructive chemical reaction case χ>0. Physically, the presence of a destructive case χ>0 causes the transformation of the species as a reason of chemical reaction which decreases the concentration distribution in the concentration boundary layer thickness. For generative chemical reaction case χ<0, a generative chemical reaction is illustrated, that is, the species which diffuses from the stretching sheet in the free stream and thereby augments the concentration in the concentration boundary layer thickness. It is observed that the concentration field reduces with an increase in the Brownian motion parameter, Nb, whereas the opposite trend is noticed with thermophoresis parameter, Nt. Figures 15 and 16 elucidate the influences of the thermophoresis parameter, Nt, Brownian motion parameter, Nb, and Lewis number, Le, on the nanoparticle concentration profile for a non-Newtonian fluid. It is observed from Figures 15 and 16 that the concentration distribution augments with an increase in thermophoresis parameter, whereas the reverse trend is observed with an increase in the Brownian motion parameter for all values of Lewis number. On the other hand, the concentration profile diminishes with an increase in Lewis number. Physically, Lewis number is the ratio of momentum diffusivity to Brownian diffusion coefficient. Increasing Lewis number leads to a decrease in the Brownian diffusion coefficient, which causes a reduction in the concentration field. The impact of the Eckert number on the temperature and the concentration fields for both cases is plotted in Figures 17 and 18. It is found from Figure 17 that the temperature field is enhanced with an increase in Eckert number. Physically, Eckert number is the ratio of kinetic energy to enthalpy. Therefore, an increase in Eckert number causes an increase in thermal energy which in turn enhances the temperature and thermal boundary layer thickness of nanofluid. This agrees with the fact that the heat transfer rate at the surface decreases with an increase in Eckert number as shown in Table 5. It is also noticed from Figure 18 that the concentration distribution reduces with an increase in Eckert number near the surface, whereas the reverse trend is observed far away from the surface in both cases.Table 4
Numerical values of1+1/βf′′0, -θ′0, and -ϕ′(0) with λ, γ, δ, and β for Nt=Nb=0.1, Ec=χ=0.2, Pr=4, and Le=5.
λ
γ
δ
β
1
+
1
/
β
f
′
′
0
-
θ
′
0
-
ϕ
′
(
0
)
0
0.2
0.2
0.5
−1.733110
0.628232
1.3244
1
0.2
0.2
0.5
−0.541057
0.587859
1.0473
3
0.2
0.2
0.5
−0.243961
0.473596
0.972528
0.2
0
0.2
0.5
−1.164996
0.76304
1.17273
0.2
1
0.2
0.5
−1.164996
0.411102
1.24197
0.2
3
0.2
0.5
−1.164996
0.208327
1.28847
0.2
0.2
0
0.5
−1.164996
0.620139
1.63936
0.2
0.2
1
0.5
−1.164996
0.707216
0.569352
0.2
0.2
3
0.5
−1.164996
0.734532
0.246761
0.2
0.2
0.2
0.3
−1.319520
0.651801
1.18842
0.2
0.2
0.2
4
−0.846526
0.655087
1.18529
0.2
0.2
0.2
∞
−0.776388
0.652042
1.17971Table 5
Numerical values of-θ′0 and -ϕ′(0) with Nt, Nb, χ, and Ec for λ=γ=δ=0.2, β=0.5, Pr=4, and Le=5.
N
t
N
b
χ
Ec
-
θ
′
0
-
ϕ
′
(
0
)
0.1
0.1
0.2
0.2
0.655854
1.19213
0.3
0.1
0.2
0.2
0.510010
1.22598
0.5
0.1
0.2
0.2
0.394448
1.45703
0.1
0.2
0.2
0.2
0.550359
1.27665
0.1
0.4
0.2
0.2
0.371446
1.31245
0.1
0.6
0.2
0.2
0.235575
1.31891
0.1
0.1
−0.2
0.2
0.664530
0.637467
0.1
0.1
0.0
0.2
0.659002
0.961861
0.1
0.1
0.4
0.2
0.654009
1.367830
0.1
0.1
0.2
0.0
0.795783
1.113521
0.1
0.1
0.2
1.0
0.082093
1.515737
0.1
0.1
0.2
1.3
−0.139103
1.641030Figure 2
Velocity profile and skin friction coefficient for various values ofβ and λ.Figure 3
Temperature profile for various values ofβ and λ.Figure 4
Nanoparticle concentration profile for various values ofβ and λ.Figure 5
Temperature profile for various values ofβ and γ.Figure 6
Nanoparticle concentration profile for various values ofβ and γ.Figure 7
Temperature profile for various values ofβ and δ.Figure 8
Nanoparticle concentration profile for various values ofβ and δ.Figure 9
Temperature profile for various values ofβ and Nt.Figure 10
Nanoparticle concentration profile for various values ofβ and Nt.Figure 11
Temperature profile for various values ofβ and Nb.Figure 12
Nanoparticle concentration profile for various values ofβ and Nb.Figure 13
Nanoparticle concentration profile for various values ofχ and Nb.Figure 14
Nanoparticle concentration profile for various values ofχ and Nt.Figure 15
Nanoparticle concentration profile for various values ofLe and Nt.Figure 16
Nanoparticle concentration profile for various values ofLe and Nb.Figure 17
Temperature profile for various values ofEc and β.Figure 18
Nanoparticle concentration profile for various values ofEc and β.


## 5. Conclusions

The steady boundary layer flow of Casson nanofluid over a stretching surface with chemical reaction, slip boundary conditions, and viscous dissipation has been numerically studied. The effects of various parameters on velocity, temperature, and nanoparticle concentration fields as well as the friction factor, the heat transfer, and the mass transfer rates are discussed through graphs and tables. The validity of the present analysis is established by comparing the existing results with previously published data. The main conclusions emerging from this study are as follows:(1)
The heat transfer rate is augmented whereas the mass transfer rate is clearly decreased with generative chemical reaction case.(2)
The mass transfer rate is elevated, whereas the heat transfer rate is markedly decelerated with the destructive chemical reaction case.(3)
The magnitudes of the friction factor, the heat transfer, and the mass transfer rates are reduced with an increase in slip parameter.(4)
The heat transfer rate is diminished, whereas the opposite effect is found in the mass transfer rate with an increase in the thermal slip parameter.(5)
The heat transfer rate is augmented whereas the mass transfer rate is considerably reduced with a rise in concentration slip parameter.(6)
The heat transfer rate is decreased whereas the mass transfer rate is distinctly boosted with an increase in Brownian motion and thermophoresis parameter.(7)
The heat transfer rate is reduced, whereas the mass transfer rate is enhanced with an increase in Eckert number.(8)
The magnitudes of the friction factor and the mass transfer rate are enhanced with an increase in the Casson parameter in both cases.(9)
The heat transfer rate is enhanced in the non-Newtonian nanofluid case, whereas the opposite influence is noticed in the Newtonian nanofluid case.(10)
The nanoparticle concentration distribution is enhanced with the generative chemical reaction, whereas the opposite influence is noticed with the destructive chemical reaction.



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*Source: 3804751-2017-07-26.xml*