Non-Linear Thermal Radiations and Mass Transfer Analysis on the Processes of Magnetite Carreau Fluid Flowing Past a Permeable Stretching/Shrinking Surface under Cross Diffusion and Hall Effect

Abstract

The flow of conducting Carreau fluid on a permeable stretching/shrinking surface is analytically investigated by considering the thermal radiation, mass transfer, and cross diffusion effects. A uniform external magnetic field is employed which gives rise to Hall current. The nonlinear PDEs are converted to a set of ODEs using similarity transformations. The developed ODEs are solved using the well established mathematical procedure of Homotopy Analysis Method (HAM). The influence of associated parameters over the state variables of the Carreau fluid are analytically studied and discussed through different graphs. It is found that fluid velocity augments (drops) with the rising power law index and Hall parameter (velocity slip and material parameters). The temperature field increases with the higher Dufour number and radiation parameter values, and decreases with larger Prandtl number. The concentration field augments with the larger Soret number and velocity slip parameter values whereas drops with the rising Schmidt number. The variations in skin friction, local Nusselt and Sherwood numbers are discussed using tables and it is noticed that the mass and heat energy transfer rates are controlled by the varying values of Dufour and Soret parameters. The comparison between present and published work shows complete agreement.

1. Introduction

The heat energy transfer and boundary layer fluid flow on a stretching and/or shrinking surfaces are the topics of intensive investigations since the basic work performed by Crane [1], because of its immense technological applications. Some of them are: electronic chips and metallic sheets cooling, preparation of plastic sheets, crystal growth, paper production, materials manufacturing and so forth [2,3]. Some important aspects of flowing fluid on stretching surface are addressed by Andersson et al. [4], and Vajravelu [5]. We know that the existence of gradients are necessary for the development of various fluxes which then results in different flows. The heat energy transfer is mainly governed by the Soret effect, in which the temperature gradient causes thermal-diffusion. Cross diffusion is a processes in which a gradient in the concentration of one species produces a flux of another chemical species. In other words, cross diffusion is normally the combined effect of the mass and thermal diffusion. The mass transfer analysis is mainly concerned with the Dufour effect, which causes due to the diffusion-thermo effect. These two effects play a vital role in the natural convection flow. The heat exchangers, steel manufacturing and other cooling phenomena are the prime areas where the convective heat energy transfer flow plays an important and basic role. Liu et al. [6] examined the impact due to convective heat energy transfer over a three-dimensional exponential stretchable surface. The Carreau fluid boundary layer flow has studied by Hayat et al. [7] and concluded that suction enhances (reduces) the thickness (speed) of the fluid. A detailed study on the boundary layer theory can be found in References [8,9].

The study of the fluid dynamics in the magnetic field presence in order to measure the various macroscopic properties of the fluid is called Magneto Hydro Dynamics (MHD). MHD has its wide applications in Plasma Physics, cooling of metallic blankets in reactors, in engineering and technology, in the theoretical explanation of various astrophysical phenomena, and so on. The transfer of heat energy above a vertical and stretching surface during the magnetized flow is examined by Nazar et al. [10] and noticed that the increasing magnetic field strength results in the reduction of the heat energy loss and coefficient of local skin friction. Ishak et al. [11] examined the stagnation flow in the magnetic field presence towards an extending surface. Xu et al. [12] analytically examined heat transformation during the 3-dimensional magnetized flow on a stretching plate by using series solution technique. Vajravelu et al. [13] studied the convective heat energy transformation over an extendable surface during a magnetized fluid flow. Pop and Na [14] worked on fluid motion over a porous and stretching surface by applying an external magnetic field. For the more recent studies over MHD boundary layer flow, the interested readers are referred to References [15,16].

The analysis of thermal energy radiations is of basic importance in solar energy technology, nuclear energy production, combustion engines and chambers, propulsion engines for high speed aircraft, and chemical process at high operating temperatures. The thermal radiation boundary layer MHD nanofluid flow over an extending surface is examined by Gnaneswara Reddy [17]. Emad [18] examined the effects produced due to the presence of radiations during the flow of electrically conducting fluid. Gnaneswara Reddy [19] investigated the magnetized and mixed convective flow of a boundary layer in a permeable medium by considering the impacts of heat energy source, Ohmic effect, and chemical reaction. The effect of radiation on the heat energy transformation due to convection in conducting (electrically) fluid over an extendable surface having varying viscosity is investigated by Abo-Eldahab and Elgendy [20]. Gnaneswara Reddy [21] examined the effects produced due to Joule heating, thermophoresis and viscous dissipation during a steady and magnetized fluid flow on an inclined, isothermal and permeable surface. Yulin et al. [22] studied numerically the natural convective nanofluid flow inside an inclined enclosure. They studied the impacts of constant temperature and heat source. Zhe et al. [23] studied experimentally the ethylene glycol mixture with water and Copper oxides by using statistical technique for the MWCNTs. Recently, Dat et al. [24] numerically analyzed the $\gamma$-AlOOH nanofluids by considering nanoparticles of various shapes in a wavy channel. The more recent survey on the nanaofluids with applications can be found in References [25,26,27,28,29].

Fluids can be broadly classified as Newtonian and non-Newtonian. The Newton law of viscosity which states that there is a direct relation between shear stress and strain is valid in the first type of fluid. Whereas in non-Newtonian fluid this simple direct relationship does not exist. The non-Newtonian fluids are ubiquitous in this industrialized world, for example structured as well as genetic liquid organisms, human blood, polymeric solutions and exotic liquids and so forth. Due to non-linearity, the non-Newtonian liquids are difficult to handle both analytically as well as computationally, as compared to Newtonian liquids. Thanks to Carreau [30], who introduced a constitutive relation which can effectively describe the nonlinear and viscoelastic characteristics of non-Newtonian fluids. Ali and Hayat [31] examined the peristaltic flow of Carreau fluid through a non-symmetrical channel. The effect produced due to the inclusion of induced magnetic force on the Carreau fluid transportation is explained by Hayat et al. [32]. The Carreau fluid motion through an inclined surface is presented by Tshehla [33]. Elahi et al. [34] discussed the 3-dimensional Carreau fluid flow through a duct. The Ohmic heating effect of the magnetized nanofluid viscous flow on a nonlinear porous and extendable surface is analyzed by Gnaneswara Reddy et al. [35]. Jiaqiang et al. [36] used the wetting models by explaining the working mechanism of different surfaces exist in nature. The different aspects due to thermal radiations by considering suction (injection) on the magnetized flow are examined by various researchers [37,38,39].

The magnetic field application to a conducting fluid results in the production of potential difference, the phenomena is called Hall effect. The effects produced by Hall current in a fluid is investigated by many investigators due to large number of technological applications. Datta and Janna [40] examined the MHD oscillatory flow on a flat surface by taking into account the phenomenon of Hall effect. The detail description of Hall effect in the fluid dynamics on the magnetized flow over a vertical and semi-infinite plate is explained by Aboeldahab and Elbarbary [41]. Biswal and Sahoo [42] studied the Hall current effects during the magnetized flow on a perpendicular and porous oscillatory surface. Raju et al. [43] analyzed the impacts of Hall current over a magnetized flow on a stretching and oscillatory surface with permeable upper wall. The temperature and mass diffusion variations during magnetized flow in the Hall effect presence is explained by Rajput and Kanaujia [44]. Similar study is undertaken by Shah et al. [45,46,47] using semi-analytical techniques. The MHD peristaltic Carreau–Yasuda fluid dynamics in a curved channel is numerically tackled by Abbasi et al. [48] in the presence of Hall effect.

This study aims to analytically investigate the impact of Hall current and cross diffusion over the heat energy and mass transfer characteristics of magnetized Carreau fluid on a porous stretching (shrinking) surface. This work has potential technological applications in different fields like food processing, polymers preparation, micro-circulatory blood flow and magma flows, and so forth. The novelty of the present research is the analytical exploration and the inclusion of the Hall current over the mass and heat energy transfer properties of the magnetized Carreau fluid flow. In Section 2, the geometry and governing mathematical model of the problem is presented. The basic idea and mechanism of HAM is explained in Section 3. The analytical results are obtained and explained through various graphs in Section 4. The variations of primary quantities of engineering interest are tabulated and explained in Section 5. The conclusion is given in Section 6.

2. Mathematical Model of the Problem

Consider a 2-dimensional, laminar, steady, and in-compressible flow of Carreau fluid over a permeable and stretching surface in the presence of nonlinear thermal radiation and Hall effect. An ambient magnetic field of strength $B_0$ is utilized along the horizontal (x-axis) direction, and the fluid under consideration is electrically conducting. The thermal and mass diffusion due to temperature and concentration gradients are also considered. The geometry of the problem is selected in such a manner that the sheet moves along the x-axis with velocity $U_w$, and the flow is assumed to be along $y\ge 0$ as depicted through Figure 1.

Figure 1. Geometrical description of the study.

The basic relations which governs the Carreau fluid flow is [30,49]:

$$\tau =\left[{\eta }_{\infty }+({\eta }_0-{\eta }_{\infty }){\left(1+{(\lambda \dot{\gamma })}^2\right)}^{\frac{n-1}{2}}\right]\dot{\gamma }$$

(1)

here, ${\eta }_{\infty }$ (${\eta }_0$) is the infinite (zero) shear rate viscosity, $\tau$ is the extra stress tensor, n is the index of the power law, $\lambda$ the time constant, and ${\gamma }^{.}$ is defined as below [49]:

$${\gamma }^{.}=\sqrt{\frac{1}{2}\sum _i\sum _j{\gamma }_i^{.}j{\gamma }_j^{.}i}=\sqrt{\frac{1}{2}\prod }$$

(2)

where, ∏ is the strain - rate tensor second invariant. Assume ${\eta }_{\infty }=0$, Equation (1) becomes

$$\tau =\left[{\eta }_0{\left(1+{(\lambda {\gamma }^{.})}^2\right)}^{\frac{n-1}{2}}\right]\gamma \dot{.}$$

(3)

The magnetic field application to the conducting fluid produces Hall current, that further affect the fluid flow. This phenomenon is analyzed with the generalized Ohm’s law [50,51]

$$\overrightarrow{j}+\frac{{\omega }_e}{B_0{t}_e}\times (\overrightarrow{j}\times \overrightarrow{B})+\frac{\sigma P_e}{e{n}_e}=\sigma (\overrightarrow{E}+\overrightarrow{V}\times \overrightarrow{B})$$

(4)

here $\overrightarrow{j}$ and $\sigma$ denote the electrical current density and conductivity, $n_e$ and e are the number density and charge of electron respectively. The components of the current density vector in the specified geometry take the forms [52]:

$$j_x=\frac{\sigma B_0^2(mu-w)}{1+m^2}$$

(5)

$$j_z=\frac{\sigma B_0^2(mw+u)}{1+m^2}$$

(6)

here, $m={\omega }_e{t}_e$ denotes the Hall parameter.

Using Equations (3)–(6), the continuity, momentum, energy and concentration equations are presented as respectively [53,54,55]:

$$\frac{\partial u}{\partial x}+\frac{\partial v}{\partial y}=0$$

(7)

$$\begin{array}{c}\hfill u\frac{\partial u}{\partial x}+v\frac{\partial u}{\partial y}-\nu \frac{{\partial }^{2}u}{\partial y^2}\left(1+\left(\frac{n-1}{2}\right){\lambda }^2{\left(\frac{\partial u}{\partial y}\right)}^2\right)=\nu (n-1){\lambda }^2\frac{{\partial }^{2}u}{\partial y^2}{(\frac{\partial u}{\partial y})}^2\times \left(1+(\frac{n-3}{2}){\lambda }^2{(\frac{\partial u}{\partial y})}^2\right)\\ \hfill -\frac{\sigma B_0^{2}u}{\rho }-\frac{{\sigma }_{n}f{B}_0^2(mw+u)}{\rho (1+m^2)}-\frac{\nu u}{k}\end{array}$$

(8)

$$u\frac{\partial T}{\partial x}+v\frac{\partial T}{\partial y}=-\frac{1}{\rho c_p}\frac{\partial q_r}{\partial y}+\alpha \frac{{\partial }^{2}T}{\partial y^2}+\frac{D_m{K}_T}{c_s{c}_p}\frac{{\partial }^{2}C}{\partial y^2}$$

(9)

$$u\frac{\partial C}{\partial x}+v\frac{\partial C}{\partial y}=\frac{D_m{K}_T}{T_m}\frac{{\partial }^{2}T}{\partial y^2}+D_m\frac{{\partial }^{2}C}{\partial y^2}$$

(10)

The boundary restrictions on the system are given by:

$$\begin{array}{c}\hfill u=u_w(x)+L\frac{\partial u}{\partial y},v=v_w,\frac{\partial T}{\partial y}=-\frac{h_1}{k}(T_f-T),\frac{\partial T}{\partial y}=-\frac{h_2}{D_m}(C_f-C)\mathrm{at}y=0,\\ \hfill u\to 0T\to T_{\infty },C\to C_{\infty }\mathrm{as}y\to \infty \end{array}$$

(11)

where $B_0$ is the magnetic field strength, T is the temperature, $\rho$ is the density, k is the thermal conductivity, $c_s$ is the susceptibility of concentration, $u_w(x)=ax$ (v) is the velocity x (y) component, respectively. Further, $v_w$ is the mass transfer velocity, $h_1$ and $h_2$ are convective heat and mass transfer coefficients, $T_f$ ($C_f$) is temperature (concentration) of the convective fluid.

The heat flux of radiations $q_r$ can be given as [56,57]:

$$q_r=-\frac{4{\sigma }^s}{3k_1}\frac{\partial T^4}{\partial y}$$

(12)

where, ${\sigma }^s$ is the Stefan Boltzmann law constant and $k_1$ is the the average absorption coefficient. After Taylor expanding $T^4$ about the fixed temperature $T_0$, and ignoring $T_0^4$ and higher terms, we obtain

$$T^4=4T_0^{3}T.$$

(13)

Using Equations (12) and (13), we write

$$\frac{\partial q_r}{\partial y}=-\frac{16{\sigma }^s{T}_0^3}{3k_1}\frac{{\partial }^{2}T}{\partial y^2}$$

(14)

From Equations (9) and (14), we get

$$u\frac{\partial T}{\partial x}+v\frac{\partial T}{\partial y}-\frac{D_m{K}_T}{c_s{c}_p}\frac{{\partial }^{2}C}{\partial y^2}=\frac{\partial }{\partial y}\left[\left(\alpha +\frac{16{\sigma }^s}{3k_1}{T}_{\infty }^3\right)\frac{\partial T}{\partial y}\right]$$

(15)

Introducing the following similarity variable [58]:

$$\begin{array}{c}\hfill \psi =\sqrt{av}f(\eta )x,\eta =\sqrt{\frac{a}{v}}y,T-T_{\infty }=(T_f-T_{\infty })\theta (\eta ),\\ \hfill C-C_{\infty }=(C_f-C_{\infty })\varphi (\eta )T-T_{\infty }=T_{\infty }({\theta }_w-1)\theta ,{\theta }_w=\frac{T_f}{T_{\infty }}\end{array}$$

(16)

where a is constant, $\varphi$, f and $\theta$ are the dimensionless concentration, velocity and temperature, respectively and $\psi$ is the stream function given by $u=\frac{\partial \psi }{\partial y}$ and $v=-\frac{\partial \psi }{\partial x}$.

Using the similarity transformations in Equations (7), (8), (12), (15) and (16), we have

$$\begin{array}{c}\hfill f^{‴}\left[1+\left(\frac{n-1}{2}\right){\lambda }_1{f}^{″2}\right]+2f^{‴}\left[\left(\frac{n-1}{2}\right){\lambda }_1{f}^{″2}\right]\left[1+\left(\frac{n-3}{2}\right){\lambda }_1{f}^{″2}\right]\\ \hfill +f{f}^{″}-f^{\prime 2}-M{f}^{\prime }-\frac{M}{1+m^2}{f}^{\prime }-r{f}^{\prime }=0\end{array}$$

(17)

$${\theta }^{″}\left(1+R{(1+({\theta }_w-1)\theta )}^3\right)+\left(3({\theta }_w-1){\theta }^{\prime 2}(1+{\theta }_w-1){\theta )}^2\right)+Prf\theta \prime +PrDu\varphi ″=0$$

(18)

$$\varphi ″+Scf\varphi \prime +ScSr{\theta }^{″}=0$$

(19)

With the B.Cs.:

$$\begin{array}{c}\hfill f^{\prime }=1+{\gamma }_1,f=S,f{(0)}^{″},\theta \prime =-{\gamma }_2(1-\theta (0)){\varphi }^{\prime }=-{\gamma }_3(1-\varphi (0))\mathrm{at}\eta =0,\\ \hfill f^{\prime }\to 0,\theta \to ,\varphi \to 0\mathrm{as}\eta \to \infty \end{array}$$

(20)

Here, ${\lambda }_1$ is the parameter of the material, S is the parameter of the mass transfer that demonstrates the suction and injection cases for $S>0$ and $S<0$, respectively. R is the radiation parameter, $Pr$, $S_c$ and $Du$ are the Prandtl, Soret, and Dufour numbers, and ${\gamma }_2$, ${\gamma }_3$ denote the slip parameters of the thermal and concentration profiles, respectively. These parameters are respectively defined as [59,60]:

$$\begin{array}{c}\hfill {\lambda }_1=\frac{{\lambda }^2{x}^2{a}^3}{\nu },S_c=\frac{\nu }{D_m},P_r=\frac{\nu }{a},R=\frac{16\sigma \ast T_{\infty }^3}{3k{k}_e},D_u=\frac{D_m{K}_T(C_f-C_{\infty })}{c_s{c}_p\nu (T_f-T_{\infty })},r=-\frac{-\nu }{ak},\\ \hfill {\gamma }_1=L\sqrt{\frac{a}{v}},{\gamma }_2=\frac{h_1}{k}\sqrt{\frac{a}{v}},{\gamma }_3=\frac{h_2}{D_m}\sqrt{\frac{a}{v}}\end{array}$$

(21)

To compute the basic engineering parameters of interest, the local Sherwood and Nusselt numbers and skin friction are given by [7,58]:

$$S{h}_x=k^{-1}{(C_f-C_{\infty })}^{-1}x{m}_s$$

(22)

$$N{u}_x=k^{-1}{(T_f-T_{\infty })}^{-1}x{q}_s$$

(23)

$$C_f=2{\tau }_s{(\rho u_w^2)}^{-1}$$

(24)

where, $m_s$ and $q_s$ are the mass and heat transfers from the surface of the plate, and ${\tau }_s$ is the skin friction, which are defined as [17,58]:

$$m_s=-k{\left(\frac{\partial C}{\partial y}\right)}_{y=0}$$

(25)

$$q_s={(q_r)}_w-k{\left(\frac{\partial T}{\partial y}\right)}_{y=0}=\theta {(0)}^{\prime }\left(1+\frac{1}{R}{\theta }_{(w)}^3\right)\sqrt{\frac{a}{\nu }}(T_{\infty }-T_w)$$

(26)

$${\tau }_s=[{\lambda }^2\left(\frac{n-1}{2}\right){\left(\frac{\partial u}{\partial y}{\left(\frac{\partial u}{\partial y}\right)}^2+3\frac{\partial v}{\partial x}{\left(\frac{\partial u}{\partial y}\right)}^2\right]}_{y=0}{\eta }_0$$

(27)

Using Equations (25)–(27) in Equations (22)–(24), we get:

$$Sh{(R{e}_x)}^{-1/2}=-\varphi {(0)}^{\prime }$$

(28)

$$Nu{(R{e}_x)}^{-1/2}=-\left(1+\frac{1}{R}{\theta }_{(w)}^3\right)\theta {(0)}^{\prime }$$

(29)

$$C_f{(R{e}_x)}^{1/2}=1+f{(0)}^{″}{\lambda }_1\left(\frac{n-1}{2}\right)$$

(30)

where $R{e}_x=\frac{u_w}{\nu }$ demonstrates the local Reynolds number.

3. Solution by HAM

Nowadays, the numerical techniques which are used for the solution of the non-linear equations normally uses approximations for the non-linear terms or uses discretization or linearization approaches. Problems occur in engineering and technology can not always be tackled with the standard numerical techniques. In the last few decades researcher took an immense interest in the analytical solution of these types of non-linear problems. The basic idea behind the Homotopy Analysis Method is given by Liao [61]. He used a topological concept known as “Homotopy”. He used two different continuous functions ${\zeta }_1(\tilde{x})$ and ${\zeta }_2(\tilde{x})$ defined over the two spaces $\widehat{X}$ and $\widehat{Y}$. The basic theory of the transformation is based on linking the closed unit interval with the topological spaces defined, as given below:

$$\tilde{\mathsf{\Psi }}:\widehat{X}\times [0,1]\to \widehat{Y}$$

(31)

where $\tilde{\mathsf{\Psi }}[\widehat{x},0]={\zeta }_1(\widehat{x})$ and $\tilde{\mathsf{\Psi }}[\widehat{x},1]={\zeta }_2(\widehat{x})$ holds $\forall \widehat{x}\in \widehat{X}$. The transformation given in Equation (31) is called homotopic transformation. The set of Equations (17)–(19) with the boundary restrictions (20) are solved with HAM, by choosing suitable initial guesses $f_0$, ${\theta }_0$ and ${\varphi }_0$ with the corresponding liner operators defined as:

$$L_{\overline{f}}(\overline{f})={\overline{f}}^{‴},L_{\overline{\theta }}(\overline{\theta })={\overline{\theta }}^{″},\mathrm{and}{L}_{\overline{\varphi }}(\overline{\varphi })={\overline{\varphi }}^{″}$$

(32)

that satisfy

$$L_{\overline{f}}(c_1+c_2\eta +c_3{\eta }^2)=0,L_{\overline{\theta }}(c_4+c_5\eta )=0,\mathrm{and}{L}_{\overline{\varphi }}(c_6+c_7\eta )=0$$

(33)

4. Results and Discussion

The basic mechanism of homotopy analysis method (HAM) is described in Section 3. Since 1992, HAM is widely used for solving system of non-linear DEs. The uses and applications of this approach are mainly due to its convergence and wide range for the choice of initial guess [45,62,63]. In this work, we used this technique in order to solve the set of Equations (17)–(20). The results are plotted through various graphs to show the influence of various pertinent parameters over the state variables. Furthermore, the obtained and published results are compared, which shows the efficiency of our employed technique.

The effect of the varying values of M $=1,2,3,4$ over the velocity field is described in Figure 2. From the figure it is found that there exists an inverse relation between the fluid velocity and $\eta$ at fixed M. Due to the applied magnetic field, Lorentz force appears. The Lorentz force and magnetic parameter are directly related with each other. The Lorentz force acts perpendicular to both the fluid velocity and the external magnetic field, hence retards its motion, as a result the velocity declines. The decline in velocity is much faster for smaller values of $\eta$. By increasing M to higher values, a reduction in the velocity profiles occurs. Therefore, higher value of M reduces the boundary layer thickness, which results a decline in the velocity profile. This decline is almost uniform at higher values of $\eta$.

Figure 2. Influence of M on $f^{\prime }(\eta )$.

The variations in the fluid velocity are depicted in Figure 3 for changing the Hall parameter values, that is, (m $=0.1,0.2,0.3,0.4$). The velocity of the fluid varies inversely with increasing $\eta$ at a fixed Hall parameter m. The applied magnetic force produces a self induced current, which affect the velocity of the moving fluid. This effect is more stronger at higher values of m. The induced effect is in the direction of the flow. Thus, when the Hall parameter increases, the velocity profile augments accordingly. These variations are very effective at larger values of $\eta$.

Figure 3. Influence of m over $f^{\prime }(\eta )$.

Figure 4 depicts the fluid velocity ($f^{\prime }(\eta )$) for varying ${\gamma }_1$ (velocity slip parameter). From the figure it is seen that, at a given ${\gamma }_1$, the velocity drops as $\eta$ varies from 0 to 1. The rate at which the velocity drops is larger at smaller $\eta$. By enhancing the parameter ${\gamma }_1$ from $0.1$ to $0.3$, $0.5$ and to $0.7$, the $f^{\prime }(\eta )$ profile drops gradually. The rate at which the velocity profile drops reduces with the rising ${\gamma }_1$. The increasing ${\gamma }_1$ results in higher frictional force which causes the fluid velocity to drop.

Figure 4. Dependence of $f^{\prime }(\eta )$ over ${\gamma }_1$

The effect of variation of n (power law index) on ($f^{\prime }(\eta )$) is plotted in Figure 5. It is observed that the velocity drops almost exponentially at fixed n. By varying n from 1 to $5,10$, and finally to 15, the velocity profile increases almost at the same rate. The non-Newtonian aspects decreases with the rising values of n, which causes the enhancement of the fluid velocity.

Figure 5. Variation of $f^{\prime }(\eta )$ with n.

Figure 6 depicts $f^{\prime }(\eta )$ for changing values of ${\lambda }_1$ (material parameter). $f^{\prime }(\eta )$ decreases with the increasing $\eta$ at constant ${\lambda }_1$. The profile of $f^{\prime }(\eta )$ drops with the enhancing ${\lambda }_1$ values. The rate at which the velocity profile drops with the increasing ${\lambda }_1$ is larger as we go from ${\lambda }_1=1.0$ to ${\lambda }_1=1.5$ in comparison with the higher values of ${\lambda }_1$.

Figure 6. Impact of ${\lambda }_1$ over $f^{\prime }(\eta )$.

The dependence of the temperature field ($\theta (\eta )$) on Dufour number $(Du)$ is depicted in Figure 7. At given $(Du)$ value, the temperature field varies inversely with higher $\eta$ as cleared from the figure. We observe almost the similar increasing trend for the temperature distribution of the fluid with the ascending values of Du as displayed by $f^{\prime }(\eta )$ with the higher power law index $(n)$ values in Figure 5. The spacing between different temperature curves is small at smaller $\eta$ as compared to the spacing at larger $\eta$. The increasing value of $Du$ causes to accumulate the fluid particles, which results in enhancing the fluid temperature due to the increasing probability of inter-particles collisions.

Figure 7. Dependence of $\theta (\eta )$ on $Du$.

The impact of variation of the Prandtl number $(Pr)$ on the fluid temperature ($\theta (\eta )$) is plotted in Figure 8. The temperature of the fluid drops with increasing $\eta$ at fixed Prandtl number. The fluid temperature ($\theta (\eta )$) drops with the higher Prandtl number values as can be seen from Figure 8. The rate at which $\theta (\eta )$ drops increases with higher Prandtl number and is largest for $Pr=2.0$. The larger $Pr$ is equivalent to the smaller fluid diffusity, which results reduction in the fluid temperature.

Figure 8. Variatiosn in $\theta (\eta )$ with differnt Pr.

The temperature of the fluid ($\theta (\eta )$) variation with augmenting values of R (radiation parameter) is plotted in Figure 9. The temperature field varies inversely with $\eta$ at a constant R. The changing of R to higher values augments the fluid temperature. The spacing between temperature curves at different R values almost remains constant. The higher radiation parameter resembles a stronger heat source, which causes the enhancement of the fluid temperature.

Figure 9. Impact of R over $\theta (\eta )$.

Figure 10 displays the concentration field ($\varphi (\eta )$) as a function of $\eta$ for the changing Schmidt number $(Sc)$ values. From the figure we see that $\varphi (\eta )$ is inversely proportional to $\eta$ at specified value of $Sc$. As $Sc$ values increase from $0.3$ to $0.5,0.7$ and finally to $0.9$, a reducing trend in the concentration profile is observed. The rate of decrease is larger for the highest $Sc$. The larger values of Schmidt number are equivalent to smaller mass diffusivity, which results in a reduction in the fluid concentration as is obvious from the figure.

Figure 10. $\varphi (\eta )$ versus $Sc$.

The variation of the concentration filed ($\varphi (\eta )$) of the fluid with various values of $Sr$ (Soret number) is displayed in Figure 11. The concentration of the fluid decreases with the higher $\eta$ at a given $Sr$ value. We observe a rise with almost uniform rate in the $\varphi (\eta )$ profile with the rising $Sr$ values. As $Sr$ is associated with the temperature gradient, therefore higher $Sr$ means larger temperature difference, which causes the concentration profile of the fluid to enhance.

Figure 11. Dependence of $\varphi (\eta )$ on $Sr$.

Figure 12 displays the relation between the fluid concentration ($\varphi (\eta )$) and $\eta$ for rising ${\gamma }_1$ (velocity slip parameter) values. An inverse association exists between $\varphi (\eta )$ and $\eta$ at constant ${\gamma }_1$. The concentration profile augments with the higher ${\gamma }_1$ values. The profile enhances almost uniformly with the higher values of ${\gamma }_1$. This means that the larger frictional force drops the fluid velocity which results an enhancement in the concentration profile of the fluid.

Figure 12. Influence of ${\gamma }_1$ over $\varphi (\eta )$.

5. Tables Discussion

The comparison of the analytical computations in this research study with the already published results in References [7,58] is displayed through various tables as below.

The comparison of our work with the already published work for the skin friction coefficient for varying values of S and ${\lambda }_1$ is presented in Table 1. The values of the other parameters $R,Sr,Du,M$, and $Sc$ are taken 0. From the table we note that both results are in complete agreement.

Table 1. Variations in $C_f$, for $R=Sr=M=Du=Sc=Du=0$.

S	${\mathit{\lambda }}_1$	Reference [7]	Present Results
0.0	0.4	0.991339	0.9913393
0.3	0.4	1.15760	1.157602
0.6	0.4	1.34872	1.348724
0.6	0.0	1.34403	1.344032
0.6	0.2	1.34872	1.348725
0.6	0.4	1.33304	1.333041

Table 2 describes the comparison for $N{u}_x$ (Nusselt number) for the changing values of, ${\lambda }_1$, n, S and $Pr$, while the values of $R,Sr,Du,M$, and $Sc$ are considered equal to 0. Again both computations are in good agreement.

Table 2. Variations in $N{u}_x$ $R=Sr=M=Sc=Du=0$.

${\mathit{\lambda }}_1$	n	S	$\mathit{Pr}$	$\mathit{\gamma }$	Reference [7]	Present Results
0.0	0.6	0.6	0.2	0.2	0.166837	0.1668374
0.1	0.6	0.6	0.2	0.2	0.1666775	0.1666775
0.2	0.6	0.6	0.2	0.2	0.474120	0.4741203
0.2	0.3	0.7	1.3	0.2	0.166631	0.1666314
0.2	0.5	0.7	1.3	0.2	0.166691	0.1666914
0.2	0.7	0.7	1.3	0.2	0.166750	0.1667505

In Table 3 compares the results for $S{h}_x$ (local Sherwood number) for varying $Sr$. We have used $Du={\lambda }_1=0$. The table shows that the results obtained through both computations are in complete agreement.

Table 3. Comparison of the $S{h}_x$ results, for $Du=\lambda =0$.

$\mathit{Sr}$	n	R	$\mathit{Pr}$	M	Reference [58]	Present Results
0.5	0.6	0.5	0.75	0.75	1.21108	1.2110832
1.0	0.6	0.5	0.75	0.75	1.0581	1.058124
1.5	0.6	0.5	0.75	0.75	0.9053	0.905314
0.2	0.6	0.5	0.75	0.75	0.7525	0.752515

Variations in $C_f$, $N{u}_x$ and $S{h}_x$ with the increasing values oM, n, Sr, Du, R and ${\gamma }_1$ for suction are displayed in Table 4. These quantities enhance with the increasing values of n (power law index) and drop with augmenting M. The skin friction coefficient first augments and then reduces, while the Nusselt and Sherwood numbers drop with augmenting $Sr$ values. The higher values of diffusion coefficient augment and then drop the Skin friction and Sherwood number, while reduces the Nusselt number. The augmenting values of R reduce both the $C_f$ coefficient and $N{u}_x$, whereas enhances $S{h}_x$. The exact opposite behavior is seen for the higher ${\gamma }_1$ values.

Table 4. Variations in $C_f$, $N{u}_x$ and $S{h}_x$ for the suction case.

M	n	$\mathit{Sr}$	$\mathit{Du}$	R	${\mathit{\gamma }}_1$	${\mathit{Re}}_{\mathit{x}}^{\frac{1}{2}}$${\mathit{C}}_{\mathit{f}}$	$\mathit{Nu}$/${\mathit{Re}}_{\mathit{x}}^{\frac{-1}{2}}$	$\mathit{Sh}$/${\mathit{Re}}_{\mathit{x}}^{\frac{-1}{2}}$
1	−	−	−	−	−	−0.950678	0.125518	0.150193
2	−	−	−	−	−	−1.069653	0.120818	0.147393
3	−	−	−	−	−	−1.168544	0.116819	0.144993
−	1	−	−	−	−	−1.085312	0.120461	0.147167
−	5	−	−	−	−	−0.970058	0.123213	0.148882
−	10	−	−	−	−	−0.853761	0.126262	0.150757
−	−	0.2	−	−	−	−1.069652	0.127662	0.155867
−	−	0.4	−	−	−	−1.069651	0.122989	0.150090
−	−	0.6	−	−	−	−1.069653	0.118758	0.143891
−	−	−	0.2	−	−	−1.069652	0.139853	0.146271
−	−	−	0.4	−	−	−1.069651	0.126867	0.148472
−	−	−	0.6	−	−	−1.069654	0.115051	0.146580
−	−	−	−	0.5	−	−1.069651	0.125799	0.147390
−	−	−	−	1.0	−	−1.069651	0.120819	0.148126
−	−	−	−	1.5	−	−1.069653	0.116279	0.149515
−	−	−	−	−	0.1	−1.220020	0.124010	0.145515
−	−	−	−	−	0.3	−0.954323	0.118002	0.143293
−	−	−	−	−	0.5	−0.788011	0.113204	0.142297

The variation of these three quantities ($C_f$, $N{u}_x$ and $S{h}_x$) with the augmenting $n,Sr,M,R,Du$ and ${\gamma }_1$ for the blowing case displayed in Table 5. It is observed that these three quantities, namely, the skin friction, local Nusselt and Sherwood numbers, drop (enhance) with the increasing values of magnetic parameter M (n). The $C_f$ coefficient remains constant, $N{u}_x$ decreases and $S{h}_x$ decreases (augments) with the higher values of both $Sr$ and $Du$, respectively. The higher values of R reduce both the $C_f$ coefficient and $N{u}_x$, whereas enhances $S{h}_x$. An exactly opposite trend is seen for the higher ${\gamma }_1$ values.

Table 5. $C_f$, $N{u}_x$, and $S{h}_x$ for the blowing case.

M	n	$\mathit{Sr}$	$\mathit{Du}$	R	${\mathit{\gamma }}_1$	${\mathit{Re}}_{\mathit{x}}^{\frac{1}{2}}$${\mathit{C}}_{\mathit{f}}$	$\mathit{Nu}$/${\mathit{Re}}_{\mathit{x}}^{\frac{-1}{2}}$	$\mathit{Sh}$/${\mathit{Re}}_{\mathit{x}}^{\frac{-1}{2}}$
1	−	−	−	−	−	−0.889776	0.114028	0.139181
2	−	−	−	−	−	−1.011871	0.106677	0.134409
3	−	−	−	−	−	−1.113430	0.100334	0.130193
−	1	−	−	−	−	−1.025844	0.106198	0.134071
−	5	−	−	−	−	−0.922493	0.109861	0.136627
−	10	−	−	−	−	−0.817218	0.113931	0.139391
−	−	0.2	−	−	−	−1.011874	0.113041	0.142802
−	−	0.4	−	−	−	−1.011874	0.108654	0.137044
−	−	0.6	−	−	−	−1.011874	0.104832	0.131925
−	−	−	0.2	−	−	−1.011874	0.125738	0.130361
−	−	−	0.4	−	−	−1.011874	0.112658	0.133111
−	−	−	0.6	−	−	−1.011874	0.101036	0.135657
−	−	−	−	0.5	−	−1.011872	0.111641	0.133395
−	−	−	−	1.0	−	−1.011874	0.106677	0.134407
−	−	−	−	1.5	−	−1.011874	0.102281	0.135322
−	−	−	−	−	0.1	−1.147816	0.110879	0.137607
−	−	−	−	−	0.3	−0.906699	0.102933	0.131509
−	−	−	−	−	0.5	−0.753593	0.096511	0.126388

6. Conclusions

The work is concluded in this section. The heat and mass transfer characteristics of magnetized Carreu fluid over a permeable and stretching (shrinking) surface are carried out by considering the nonlinear thermal radiations, cross diffusion and Hall effects. The system of given PDEs is converted to ODEs through suitable similarity transformations. The developed ODEs are analytically solved through HAM. The influence of pertinent parameters of interest on the velocity, temperature and concentration fields are investigated and explained graphically. The dependence of skin friction coefficient, local Nusselt and Sherwood numbers on these parameters is described in the tables. The following facts are observed during this investigation.

• The velocity field ($f^{\prime }(\eta )$) drops with the ascending values of M, ${\gamma }_1$ and ${\lambda }_1$, while it is enhanced with the Hall effect parameter and n (power law index).
• The temperature of the Carreu fluid is augmented with the rising values of $Du$ and R, whereas it drops with rising Prandtl number values.
• The fluid concentration rises with increasing values of $Sr$ and ${\gamma }_1$, and drops with the larger values of $Sc$.
• The skin friction coefficient, local Nusselt Number and Sherwood number depreciate (augment) with the larger values of the magnetic parameter (index of the power law, n) in both cases.
• The Soret number and diffusion coefficient control the heat energy and mass transfer flow rates.
• The augmenting values of radiation parameter reduce both the $C_f$ and $N{u}_x$, whereas they enhance $S{h}_x$ in both cases. The rising values of the velocity slip parameter affect these quantities in the opposite manner.
• The agreement between our results and published results confirms the accuracy of the employed procedure.