Two-dimensional MHD mixed convection boundary layer flow of heat and mass transfer stagnation-point flow of a non-Newtonian power-law nanofluid towards a stretching surface in the presence of thermal radiation and heat source/sink is investigated numerically. The non-Newtonian nanofluid model incorporates the effects of Brownian motion and thermophoresis. The basic transport equations are made dimensionless first and the complete nonlinear differential equations with associated boundary conditions are solved numerically by finite element method (FEM). The numerical calculations for velocity, temperature, and nanoparticles volume fraction profiles for different values of the physical parameters to display the interesting aspects of the solutions are presented graphically and discussed. The skin friction coefficient, the local Nusslet number and the Sherwood number are exhibited and examined. Our results are compatible with the existing results for a special case.
1. Introduction
Many of the non-Newtonian fluids encountered in chemical engineering processes are known to follow the empirical Ostwald-de Waele power-law model. The concept of boundary layer was applied to power-law fluids by Schowalter [1]. Acrivos [2] investigated the boundary layer flows for such fluids in 1960; since then, a large number of related studies have been conducted because of their importance and presence of such fluids in chemicals, polymers, molten plastics, and others. The theory of non-Newtonian fluids offers mathematicians, engineers, and numerical specialists varied challenges in developing analytical and numerical solutions for the highly nonlinear governing equations. However, due to the practical significance of these non-Newtonian fluids, many authors have presented various non-Newtonian fluid models like Elbashbeshy et al. [3], Nadeem et al. [4], Nadeem et al. [5], Nadeem et al. [6], Nadeem and Akbar [7], Nadeem and Ali [8], Buongiorno [9], and Łukaszewicz [10]. Many interesting applications of non-Newtonian power-law fluids were presented by Shenoy [11]. Details of the behavior of non-Newtonian fluids for both steady and unsteady flow situations, along with mathematical models, are studied by Astarita and Marrucci [12], Bohme [13], and Kishan and Shashidar Reddy [14].
Nanotechnology has immense applications in industry since materials with sizes of nanometers exhibit unique physical and chemical properties. Fluids with nano-scaled particles interaction are called nanofluid. It represents the most relevant technological cutting edge currently being explored. Nanofluid heat transfer is an innovative technology which can be used to enhance heat transfer. Nanofluid is a suspension of solid nanoparticles (1–100 nm diameters) in conventional liquids like water, oil, and ethylene glycol. Depending on shape, size, and thermal properties of the solid nanoparticles, the thermal conductivity can be increased by about 40% with low concentration (1%–5% by volume) of solid nanoparticles in the mixture. The nanoparticles used in nanofluid are normally composed of metals, oxides, carbides, or carbon nanotubes. Water, ethylene glycol, and oil are common examples of base fluids. Nanofluids have their major applications in heat transfer, including microelectronics, fuel cells, pharmaceutical processes, and hybrid-powered engines, domestic refrigerator, chiller, nuclear reactor coolant, grinding, space technology, and boiler flue gas temperature reduction. They demonstrate enhanced thermal conductivity and convective heat transfer coefficient counterbalanced to the base fluid. Nanofluids have been the core of attention of many researchers for new production of heat transfer fluids in heat exchangers, plants, and automotive cooling significations, due to their enormous thermal characteristics, Nadeem et al. [15]. The nanofluid is stable; it introduces very little pressure drop, and it can pass through nanochannels (e.g., see Zhou [16]). The word nanofluid was coined by Choi [17]. Xuan and Li [18] pointed out that, at higher nanoparticle volume fractions, the viscosity increases sharply, which suppresses heat transfer enhancement in the nanofluid. Therefore, it is important to carefully select the proper nanoparticle volume fraction to achieve heat transfer enhancement. Buongiorno noted that the nanoparticles’ absolute velocity can be viewed as the sum of the base fluid velocity and a relative velocity (which he called the slip velocity). He considered in turn seven slip mechanisms: inertia, Brownian diffusion, thermophoresis, diffusiophoresis, Magnus effect, fluid drainage, and gravity settling.
Forced convective heat transfer can be enhanced effectively by using nanofluids, a type of fluid adding different suspending nanoparticles into the conventional base liquid (Pak and Cho [19], Wen and Ding [20], and Ding et al. [21]). However, the characteristics of nanofluids and the mechanism of the enhancement of the forced convective heat transfer of nanofluids are still not clear. Recently, nanofluids have attracted much attention since anomalously large enhancements in effective thermal conductivities were reported over a decade ago (Masuda et al. [22] and Keblinski et al. [23]). Subsequent studies by various groups have reported that nanofluids also have other desirable properties and behaviours such as enhanced wetting and spreading (Wasan and Nikolov [24] and Chengara et al. [25]), as well as increased critical heat fluxes under boiling condition (You et al. [26]).
Boundary layer flow and heat transfer over a continuously stretched surface have received considerable attention in recent years. This is because of the various possible engineering and metallurgical applications such as hot rolling, metal and plastic extrusion, wire drawing, glass fibre production, continuous casting, crystal growing, and paper production. Crane [27] was the first to investigate the boundary layer flow caused by a stretching sheet moving with linearly varying velocity from a fixed point whilst the heat transfer aspect of the problem was investigated by Carragher and Crane [28] under the conditions that the temperature difference between the surface and the ambient fluid was proportional to the power of the distance from a fixed point. The behaviour of non-Newtonian nanofluids could be useful in evaluating the possibility of heat transfer enhancement in various processes of these industries. Several investigators have studied non-Newtonian nanofluid transport in various geometries under various boundary conditions in porous or nonporous media. Ellahi et al. [29] have elaborated that non-Newtonian nanofluids have potential roles in physiological transport as biological solutions and also in polymer melts, paints, and so forth.
The effect of heat source/sink is very important in cooling process industries. Effects of heat source/sink on the boundary layer flow over a stretching sheet were studied by Cortell [30], Abel et al. [31], Dessie and Kishan [32], Tufail et al. [33], Elbashbeshy and Bazid [34], and Chen [35]. In fact, heat source/sink concepts in fluids have relevance in problems dealing with chemical reactions geonuclear repositions and these concerned with dissociating fluids. Transport phenomena associated with magnetohydrodynamics arise in physics, geophysics, astrophysics, and many branches of chemical engineering which include crystal magnetic damping control, hydromagnetic chromatography, conducting flow in trickle-bed reactors, and enhanced magnetic filtration control (Prasad et al. [36]).
In the present paper, our aim is to investigate the effects of MHD, heat source/sink, and thermal radiation on heat and mass transfer by mixed convection boundary layer stagnation point flow of non-Newtonian power-law fluid towards a stretching surface with a nanofluid. The effects of Brownian motion and thermophoresis are included for the nanofluid. Numerical solutions of the boundary layer equations are obtained and a discussion is provided for several values of the nanofluid parameters governing the problem. The dimensionless profiles of velocity, temperature, and nanoparticle volume fraction as well as the skin friction coefficient, local Nusselt number, and Sherwood number for the different flow parameters have been discussed.
2. Mathematical Formulation
Consider steady, laminar, heat, and mass transfer by mixed convection, boundary layer stagnation-point flow of an electrically conducting, optically dense, and non-Newtonian power-law fluid obeying the Ostwald-de Waele model (see [37]) past a heated or cooled stretching vertical surface in the presence of thermal radiation. It is assumed that the stretching velocity is given by uw(x)=cx, and the velocity distribution in frictionless potential flow in the neighborhood of the stagnation point at x=y=0 is given by U(x)=ax. We assumed that the uniform wall temperature Tw and nanoparticles volume fraction Cw are higher than those of their full stream values T∞, C∞. A uniform magnetic field is applied in the y-direction normal to the flow direction. The magnetic Reynolds number is assumed to be small so that the induced magnetic field is neglected. In addition, the Hall effect and the electric field are assumed to be negligible. The small magnetic Reynolds number assumption uncouples the Navier-Stokes equations from Maxwell’s equations. All physical properties are assumed to be constant except for the density in the buoyancy force term. By invoking all of the boundary layer, Boussinesq and Rosseland diffusion approximations, the governing equations for this investigation can be written as
(1)∂u∂x+∂v∂y=0,(2)u∂u∂x+v∂u∂y=UdUdx+1ρ∂τxy∂y+gβT-T∞+gβ*C-C∞-σB02ρu-U,(3)u∂T∂x+v∂T∂y=αm∂2T∂y2+τDB∂C∂y∂T∂y+DTT∞∂T∂y2+Q0ρCfT-T∞-1ρCp∂qr∂y,(4)u∂C∂x+v∂C∂y=DB∂2C∂y2+DTT∞∂2T∂y2.
The associated boundary conditions are
(5a)u=uwx=cx,v=0,T=Tw,C=Cwaty=0,(5b)u=Ux=ax,v=-ay,T=T∞,C=C∞aty⟶∞.u, v, T, and C are the x and y components of velocity, temperature, and nanoparticle volume fraction, respectively. g, ρ, αm, DB, DT, B0, β, and β* are the gravitational acceleration, fluid density, thermal diffusivity, Brownian diffusion coefficient, thermophoretic diffusion coefficient, magnetic field, coefficient of thermal expansion, and coefficient of concentration of expansion, respectively. The term Q0(T-T∞) is assumed to be the amount of heat generated or absorbed per unit volume Q0 as a coefficient constant, which may take on either positive or negative value. When the wall temperature T exceeds the free stream temperature T∞, the source term Q0>0 and heat sink when Q0<0. We have ∂u/∂y>0 when a/c>1 (the ratio of free stream velocity and stretching velocity) which gives the shear stress as
(6)τxy=K∂∂y∂u∂yn,
where K is the consistency coefficient and n is the power-law fluid. It needs to be mentioned that, for the non-Newtonian power-law model, the case of n<1 is associated with shear-thinning fluids (pseudoplastic fluids); n=1 corresponds to Newtonian fluids and n>1 applies to the case of shear thickening (dilatant).
Using the Rosseland approximation for radiation, the radiative heat flux is simplified as
(7)qr=-4σ13χ∂T4∂y,
where σ1 and χ are the Stefan-Boltzmann constant and the mean absorption coefficient, respectively. We assume that the temperature differences within the flow, such as the term T4, may be expressed as a linear function of temperature. Hence, expanding T4 in a Taylor series about a free stream temperature T∞ and neglecting higher-order terms, we get
(8)T4=4T∞4T-3T∞4.
Using (7) and (8) in the last term of (3), we obtain
(9)∂qr∂y=-16σ1T∞33χ∂2T∂y2.
In order to reduce the governing equations into a system of ordinary differential equations, the following dimensionless parameters are introduced
(10)ψ=K/ρc1-2n1/(n+1)x2n/(n+1)f(η),θ=T-T∞Tw-T∞,ϕ=C-C∞Cw-C∞,η=yc2-nK/ρ1/(n+1)x(1-n)/(1+n).
It is worth mentioning that the continuity equation (4) is identically satisfied from our choice of the stream function with u=∂ψ/∂y and v=-∂ψ/∂x. Substituting the dimensionless parameters into (2)–(4) gives
(11)nf′′n-1f′′′+2nn+1ff′′-f′2-Mf′+Mac+a2c2+Λ(θ+Nϕ)=0,1Pr1+4Rd3θ′′+2nn+1fθ′+Nbθ′ϕ′+Ntθ′2+Qθ=0,ϕ′′+2nn+1Lefϕ′+NtNbθ′′=0.
The transformed boundary conditions are(12a)f(0)=0,f′(0)=1,θ(0)=1,ϕ(0)=1,(12b)f′(∞)⟶ac,θ(∞)⟶0,ϕ(∞)⟶0.The nine parameters appearing in (11) are defined as follows:
(13)M=σB02ρc,Λ=gβ(Tw-T∞)x3/υ2uw2x2/υ2,N=gβ*(Cw-C∞)gβ(Tw-T∞),Pr=υαmc2Rex(n-1)/(n+1),Rd=4σ1T∞3kχ,Nb=τDB(Cw-C∞)υc2Rex(1-n)/(1+n),Nt=τDT(Tw-T∞)T∞υc2Rex(1-n)/(1+n),Le=υDBc2Rex(n-1)/(n+1),Q=Q0ρCf,
where Rex=uwx/υ is the local Reynolds number based on the stretching velocity uw(x) and k is the thermal conductivity. It should be noted that Λ>0 corresponds to an assisting flow (heated plate), Λ<0 corresponds to an opposing flow (cooled plate), and Λ=0 yields forced convection flow.
The skin friction coefficient Cfx at the wall is given by
(14)Cfx=2f′′(0)ncx2-nxnK/ρ-1/(1+n),
the local Nusselt number Nux is given by
(15)Nux=-Kuw2-nK/ρ1/n+11+4Rd3θ′(0),
and the local Sherwood number Shx is given by
(16)Shx=-Duw2-nK/ρ1/n+1ϕ′(0).
3. Method of Solution3.1. Finite Element Method
The finite element method is a powerful technique for solving ordinary or partial differential equations. The basic concept of FEM is that the whole domain is divided into smaller elements of finite dimensions called finite elements. This method is the most versatile numerical technique in engineering analysis and has been employed to study diverse problems in heat transfer, fluid mechanics, rigid body dynamics, solid mechanics, chemical processing, electrical systems, acoustics, and many other fields. The steps involved in the finite element analysis are as follows:
discretization of the domain into elements,
derivation of element equations,
assembly of element equations,
imposition of boundary conditions,
solution of assembled equations.
To solve the system of simultaneous nonlinear differential equations (11), with the boundary conditions (12a) and (12b), we assume that
(17)f′=h
the system of (11) then reduced to
(18)nh′(n-1)h′′+2nn+1fh′-h2-Mh+Mac+a2c2+Λθ+Nϕ=0,1Pr1+4Rd3θ′′+2nn+1fθ′+Nbθ′ϕ′+Ntθ′2+Qθ=0,ϕ′′+2nn+1Lefϕ′+NtNbθ′′=0
and the corresponding boundary conditions now become(19a)f(0)=0,h(0)=1,θ(0)=1,ϕ(0)=1,(19b)h(∞)⟶ac,θ(∞)⟶0,ϕ(∞)⟶0.For computational purposes, the ∞ has been shifted to η=8, without any loss of generality. The domain is divided into a set of 100 line elements, each element having two nodes.3.2. Variational Formulation
The variational form associated with (17)-(18) over a typical linear element (ηe,ηe+1) is given by
(20)∫ηeηe+1w1f′-hdη=0,∫ηeηe+1w2nh′(n-1)h′′+2nn+1fh′-h2-Mha2c2+Mac+a2c2+Λθ+Nϕdη=0,∫ηeηe+1w31Pr1+4Rd3θ′′+2nn+1fθ′+Nbθ′ϕ′+Ntθ′2+Qθ4Rd3dη=0,∫ηeηe+1w4ϕ′′+2nn+1Lefϕ′+NtNbθ′′dη=0,
where w1, w2, w3, and w4 are weight functions and may be viewed as the variation in f, h, θ, and ϕ, respectively.
3.3. Finite Element Formulation
The finite element model from (20) by substituting finite element approximations of the form
(21)f=∑j=12fjψj,h=∑j=12hjψj,θ=∑j=12θjψj,ϕ=∑j=12ϕjψj
with w1=w2=w3=w4=ψi, (i=1,2), where ψi are the shape functions for a two-noded linear element (ηe,ηe+1) and are taken as
(22)ψ1(e)=ηe+1-ηηe+1-ηe,ψ2(e)=η-ηeηe+1-ηe,ηe≤η≤ηe+1.
The finite element model of the equations thus formed is given by
(23)K11K12K13K14K21K22K23K24K31K32K33K34K41K42K43K44fhθϕ=b1b2b3b4,
where [Kmn] and [bm](m=1,2) are defined as
(24)Kij11=∫ηeηe+1ψidψjdηdη,Kij12=-∫ηeηe+1ψiψjdη,Kij13=Kij14=Kij21=0,Kij22=∫ηeηe+1-nh′¯n-1dψidηdψjdη+2nn+1f¯ψidψjdη-h¯ψiψj-Mψiψjdη,Kij23=Λ∫ηeηe+1ψiψjdη,Kij24=NΛ∫ηeηe+1ψiψjdη,Kij31=Kij32=0,Kij33=∫ηeηe+1-1Pr1+4Rd3dψidηdψjdη+2nn+1f¯ψidψjdη+Nbϕ′¯ψidψjdη+Ntθ′¯ψidψjdη+Qψiψjdη,Kij34=Kij41=Kij42=0,Kij43=-NtNb∫ηeηe+1dψidηdψjdηdη,Kij44=∫ηeηe+1-dψidηdψjdη+Le2nn+1f¯ψidψjdηdη,bi1=0,bi2=-ac2+Mac·∫ηeηe+1ψidη-nh′¯n-1ψidhdηηeηe+1,bi3=-1Pr1+4Rd3ψidθdηηeηe+1,bi4=-ψidϕdηηeηe+1-NtNbψidθdηηeηe+1,
where
(25)f¯=∑i=12fi¯ψi,h¯=∑i=12hi¯ψi,h′¯=∑i=12hi′¯ψi,θ′¯=∑i=12θi′¯ψi,ϕ¯=∑i=12ϕi′¯ψi.
Each element matrix is of the order 8×8. The whole domain is divided into 100 linear elements of equal size; after assembly of all the elements equations, we obtain a matrix of the order 404×404. This system of equations as obtained after assembly of the element equations is nonlinear. Therefore, an iterative scheme must be utilized in the solution. After imposing the boundary conditions only a system of 397 equations remains for the solution, which is solved by the Gauss elimination method maintaining an accuracy of 0.0005.
4. Result and Discussion
The numerical solutions of governing equations (11) with boundary conditions (12a) and (12b) have been solved by using the variational finite element method. To validate our results, the numerical computations of these skin friction coefficients, Nusselt number, and Sherwood number which are, respectively, proportional to f′′(0), -1+4Rd/3θ′(0), and -ϕ′(0) are presented in tabular form and one result is compared with Mahapatra et al. [38]. The validation of present results has been verified with the classical case of Newtonian fluid (n=1) and there is a good agreement between present and Mahapatra et al. (Table 1) [38].
Comparison of f′′(0) for various values of M at n=1, between analytical solutions obtained by homotopy analysis method and finite element method in the present work in the absence of heat and mass transfer.
M
Mahapatra et al. [38]
Present results
Analytical results
0.0
2.0175
2.01753
0.5
2.1363
2.136374
1.0
2.2491
2.249134
1.5
2.3567
2.356684
2.0
2.4597
2.459658
3.0
2.6540
2.65378
5.0
3.0058
3.00392
To analyse the results, numerical computations have been carried out for the dimensionless velocity, temperature, and nanoparticle volume fraction distributions for the flow under considerations and are obtained and their behaviour has been discussed for various governing parameters such as magnetic parameter M, dimensionless mixed convection parameter Λ, concentration to thermal buoyancy ratio N, Prandtl number Pr, radiation parameter Rd, heat source/sink parameter Q, Brownian motion Nb, thermophoresis parameter Nt, and Lewis number Le. Tables 2–5 show the effect of magnetic parameter M, power-law index n, dimensionless mixed convection parameter Λ, Prandtl number Pr, radiation parameter Rd, Brownian motion Nb, thermophoresis parameter Nt, and Lewis number Le on the coefficient of skin friction coefficient f′′(0), Nusselt number -1+4Rd/3θ′(0), and Sherwood number -ϕ′(0), respectively. It can be seen that the effect of magnetic field parameter M is to decrease the values of f′′(0), -1+4Rd/3θ′(0), and -ϕ′(0). The skin friction coefficient f′′(0) decreases with the increase of power-law index n. It is also observed that Nusselt number -1+4Rd/3θ′(0) and Sherwood number -ϕ′(0) increase with the increase of power-law index n. The skin friction coefficient f′′(0) value increases with the increase of thermophoresis parameter Nt. Nusselt number -1+4Rd/3θ′(0) and Sherwood number -ϕ′(0) decrease with the increase of thermophoresis parameter Nt. The effect of Brownian motion parameter Nb is to decrease with f′′(0) values in case of n<1 and it does not have any effect in case of n=1 and n>1. The effect of Brownian motion parameter (Nb) is to decrease the Nusselt number -1+4Rd/3θ′(0) and increase Sherwood number -ϕ′(0) for Newtonian and non-Newtonian fluids.
Computations of the Nusselt number, skin friction coefficient, and the Sherwood number for various values of n and M.
n
M
f′′(0)
-1+4Rd/3θ′(0)
-ϕ′(0)
0.6
0
3.67583
2.1486
2.5703
2
3.43416
2.1039
2.5378
5
3.30083
2.0674
2.5167
1.0
0
2.48416
2.417
2.8058
2
2.3783
2.3856
2.7928
5
2.3458
2.3511
2.7822
1.6
0
1.5779
2.5715
2.9596
2
1.5685
2.5454
2.9584
5
1.5042
2.5239
2.9573
Computations of the Nusselt number, skin friction coefficient, and the Sherwood number for various values of n and Nt.
n
Nt
f′′(0)
-1+4Rd/3θ′(0)
-ϕ′(0)
0.6
0.1
3.4350
2.1045
2.5381
0.4
3.4652
2.0815
2.4863
0.7
3.4933
2.0591
2.4399
1.0
0.1
2.3783
2.3856
2.7928
0.4
2.3957
2.3594
2.7357
0.7
2.4142
2.3332
2.6843
1.6
0.1
1.4992
2.5811
2.9845
0.4
1.5387
2.5511
2.8973
0.7
1.5408
2.5217
2.8453
Computations of the Nusselt number, skin friction coefficient, and the Sherwood number for various values of n and Nb.
n
Nb
f′′(0)
-1+4Rd/3θ′(0)
-ϕ′(0)
0.6
0.2
3.4308
2.0872
2.5483
0.6
3.4300
2.0219
2.5551
1.0
0.2
2.3758
2.3684
2.8038
0.6
2.3758
2.3619
2.8114
1.6
0.2
1.4333
2.5683
2.9810
0.6
1.4333
2.4981
2.9846
Computations of the Nusselt number, skin friction coefficient, and the Sherwood number for various values of Λ, a/c, Le, Pr, and Rd.
Λ
a/c
Le
Pr
Rd
f′′(0)
-1+4Rd/3θ′(0)
-ϕ′(0)
-1
1.5
10
0.71
5
0.5400
2.1505
2.5521
0
1.5
10
0.71
5
1.0258
2.2182
2.6209
1
1.5
10
0.71
5
1.4925
2.2776
2.6832
3
1.5
10
0.71
5
2.3873
2.3856
2.7928
3
1.8
10
0.71
5
3.0008
2.5332
2.8682
3
2.0
10
0.71
5
3.4425
2.6278
2.9193
3
1.5
20
0.71
5
1.542
0.9756
1.6267
3
1.5
30
0.71
5
1.0333
0.9756
1.9603
3
1.5
10
1
5
2.3475
2.7862
2.7804
3
1.5
10
10
5
2.0817
7.2348
2.5987
3
1.5
10
100
5
1.8883
10.2348
2.5387
3
1.5
10
0.71
10
2.4258
3.3600
2.8093
3
1.5
10
0.71
15
2.4500
4.1597
2.8163
From Table 5 it can be seen that skin friction coefficient f′′(0) is to increase with the increase of Λ, a/c, and Rd whereas skin friction coefficient f′′(0) values decrease with the increase of Le, Pr. The Nusselt number -1+4Rd/3θ′(0) and Sherwood number -ϕ′(0) values increase with the increase of Λ, a/c, and Rd. As Le increases, Sherwood number -ϕ′(0) increases. The effect of Pr is to increase Nusselt number -1+4Rd/3θ′(0) and decrease the Sherwood number -ϕ′(0).
Figures 1(a)–1(c) illustrate the variation of velocity, temperature, and nanoparticles volume fraction profiles, respectively, for different values of power-law index n. The velocity, temperature and nanoparticles volume fraction profiles decrease with the increase of power-law index n from 0.6 to 1.6. The effect of the increased values of n is to reduce the boundary layer thickness. It can be observed from Figure 1(b) that the effect of power-law index n increases from 0.6 to 1.6; the temperature profiles decrease with an increasing viscosity of nanofluid, and thermal diffusion is depressed in the resume which cools the boundary layer and decreases the boundary layer thickness. It can also be seen from Figure 1(c) that the increase of power-law index n from 0.6 to 1.6 decreases the nanoparticle volume fraction which decreases diffusion of nanoparticle volume fraction (concentration) boundary layer thickness.
Effect of power-law index n on velocity, temperature, and concentration profiles.
Velocity
Temperature
Concentration
Figures 2(a)–2(c) are drawn for the velocity, temperature, and concentration profiles for different values of Prandtl number Pr for the cases shear-thinning n<1, Newtonian n=1, and shear-thickening n>1 fluids. The effect of Prandtl number Pr is to reduce the velocity and temperature profiles for both Newtonian and non-Newtonian fluids. Physically, fluids with smaller Prandtl number Pr have larger thermal diffusivity. Figure 2(c) indicated that increasing Prandtl number Pr leads to increase of the concentration profile for both Newtonian and non-Newtonian fluids.
Effect of Pr on velocity, temperature, and concentration profiles for pseudoplastic, Newtonian, and dilatant fluids.
Velocity
Temperature
Concentration
The effect of thermophoresis parameter Nt is to increase velocity, temperature, and concentration profiles for both Newtonian and non-Newtonian fluids are noticed in Figure 3.
Effect of Nt on velocity, temperature, and concentration profiles for pseudoplastic, Newtonian, and dilatant fluids.
Velocity
Temperature
Concentration
Figure 4 exhibits dimensionless temperature and concentration profiles for various values of Brownian motion parameter Nb. It can be seen that the temperature profile slightly increases with an increase in the value of Brownian motion parameter Nb. The concentration profiles decrease with the value of Brownian motion parameter Nb which is noticed from these Figures 4(a) and 4(b).
Effect of Nb on temperature and concentration profiles for pseudoplastic, Newtonian, and dilatant fluids.
Temperature
Concentration
Figure 5 shows the effect of thermal buoyancy ratio N on velocity profiles for shear-thinning n<1, Newtonian n=1, and shear-thickening n>1 fluids, respectively. It is noticed that the increase of N values has a tendency to increase the buoyancy effects changing more induced flow along the stretching sheet in the vertical direction reflected by the increase in the fluid velocity. This enhancement in the fluid velocity has more in shear-thinning fluid n<1 than shear-thickening fluid n>1.
Effect of N on velocity profiles for pseudoplastic, Newtonian, and dilatant fluids.
Figure 6(a) shows the effect of radiation parameter Rd on the velocity profiles for both Newtonian and non-Newtonian fluids. It is noticed from the figure that the velocity of the fluid increases with the increase of radiation parameter Rd values. It can be shown from Figure 6(b) that temperature of the fluid increases with the increase of radiation parameter Rd. As expected, an increase of the radiation parameter Rd has the tendency to increase the effect of conduction as well as increasing the temperature at each point away from the surface. Hence, higher values of radiation parameter Rd imply a higher surface heat flux.
Effect of Rd on velocity and temperature profiles for pseudoplastic, Newtonian, and dilatant fluids.
Velocity
Temperature
The variations in heat source/sink parameter Q on velocity and temperature profiles are given in Figure 7; from the figure it can be seen that the velocity as well as temperature profiles increases with the increase of heat source/sink parameter Q. A gradually increasing heat source/sink parameter increases the thermal boundary layer thickness which physically reveals the fact that an increase in the heat source/sink parameter means an increase in the heat generated inside the boundary layer which leads to higher temperature field. It is noted that the temperature profiles decrease for increasing strength of heat sink and due to increase of heat source strength the temperature increases. So the thickness of the thermal boundary layer reduces for increase with heat source parameter. These results are very much significant for the flow where heat transfer is given prime importance.
Effect of Q on velocity and temperature profiles for pseudoplastic, Newtonian, and dilatant fluids.
Velocity
Temperature
Figures 8(a)–8(c) present the changes in the velocity profiles with the effect of magnetic parameter M for shear-thinning n<1, Newtonian n=1, and shear-thickening n>1 fluids, respectively. The velocity profiles f′ decrease with the raising of magnetic parameter M. This is due to magnetic field opposing the transport phenomena, since the variation of magnetic parameter M causes the variation of Lorentz forces. The Lorentz force is a drag like force that produces more resistance to transport phenomena and that causes reduction in the fluid velocity. The effect of magnetic field is more in shear-thinning fluids than shear-thickening fluids. The effect of magnetic fields is very meager on temperature profiles; hence, it is not shown.
Effect of M on velocity profiles for pseudoplastic, Newtonian and dilatant fluids.
Figures 9(a)–9(c) show the effect of dimensionless mixed convection parameter Λ on velocity, temperature, and concentration profiles, respectively. The velocity profiles are increasing with increasing values of Λ whereas temperature and concentration profiles are decreasing with increasing values of Λ. The presence of the thermal buoyancy effects represented by finite values of the mixed parameter has the tendency to induce more flow along the surface at the expense of small reductions in the temperature and concentration. Distinctive peaks in the velocity profiles which are characteristics of free convection flows are also observed as Λ increases.
Effect of Λ on the velocity, temperature, and concentration profiles for n=0.6.
Velocity
Temperature
Concerntration
Figure 10 depicts the variation of nanoparticle concentration profiles for Newtonian and non-Newtonian fluids with different values of Lewis number Le. The concentration profile is decreased due to the increase of Lewis number Le. Increase in the Lewis number Le reduces the nanoparticle volume fraction and its boundary layer thickness.
Effect of Le on concentration profiles for pseudoplastic, Newtonian, and dilatant fluids.
Figures 11(a)–11(c) present the velocity, temperature, and concentration profiles for various values of ratio of velocity parameter a/c. It can be observed that an increase in a/c causes increase in velocity profiles and significant decrease on the temperature and concentration profiles. These behaviours are clearly shown in Figure 11.
Effect of a/c on the velocity, temperature, and concentration profiles for n=0.6.
Velocity
Temperature
Concentration
5. Conclusions
The influence of Brownian motion and thermophoresis on mixed convection magneto hydrodynamic boundary layer flow of heat and mass transfer stagnation-point flow of power-law non-Newtonian nanofluid towards a stretching surface is investigated. Various thermal radiation and heat source/sink parameters have been considered for the flow, temperature, and nanoparticle volume fraction as well as the skin friction coefficient, Nusselt number, and Sherwood number. The main findings of the present study can be summarised as follows.
The effect of Magnetic field parameter M reduces the velocity profiles.
The influence of thermophoresis Nt increases the velocity, temperature, and concentration profiles for the cases of pseudoplastic, Newtonian, and dilatant fluids. The effect of Brownian motion Nb is to increase the temperature profiles and decrease the concentration profiles.
The velocity and concentration profiles increase with the increase of radiation parameter Rd and heat source/sink parameter Q for both Newtonian and non-Newtonian fluids.
The effect of mixed convection parameter Λ and velocity ratio parameter a/c is to increase the velocity profiles and reduces the temperature and concentration profiles.
The skin friction coefficient f′′(0) increases with the increase of thermophoresis parameter Nt and it decreases with the increase of Brownian motion parameter Nb and the power-law index n. The coefficient of Nusselt number and Sherwood number decreases with the increase of Nt.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
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