# Transient MHD Radiative Fluid Flow over an Inclined Porous Plate with Thermal and Mass Diffusion: An EFDM Numerical Approach

Transient MHD Radiative Fluid Flow over an Inclined Porous Plate with Thermal and Mass Diffusion: An EFDM Numerical Approach

Noor Alam Saykat Poddar M Enamul Karim Mohammad Sanjeed Hasan Giulio Lorenzini*

Department of Mathematics, Faculty of Basic Science, Primeasia University, Dhaka 1213, Bangladesh

Department of Mathematics, Faculty of Science, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh

Department of Mathematics, Comilla University, Cumilla 3506, Bangladesh

Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/A, Parma 43124, Italy

Corresponding Author Email:
giulio.lorenzini@unipr.it
Page:
739-749
|
DOI:
https://doi.org/10.18280/mmep.080508
3 July 2021
|
Revised:
10 September 2021
|
Accepted:
27 September 2021
|
Available online:
31 October 2021
| Citation

OPEN ACCESS

Abstract:

This research aims to delve into the transient MHD flow over a porous plate having an inclination, with heat and mass diffusion by taking the radiative phenomenon into consideration. The flow controlling equations of continuity, momentum, energy, and concentration are developed using the boundary layer approximations. The radiative flux is described using a differential approximation. The governing time-dependent equations are brought into a conversion to create a system of non-dimensional partial differential equations (PDEs). Numerical schemes approaching the explicit finite difference method (EFDM) are employed to discretize and reckon the equations in dimensional agreement. Stability and convergence checking are prepared to ensure the converging restrictions of pertinent parameters. The profiles of velocity, concentration, and temperature have been illustrated graphically and discussed comprehensively.

Keywords:

MHD, inclined porous plate, heat and mass diffusion, Soret effect, Dufour effect

1. Introduction

Investigating the magnetohydrodynamic flow of an electrical conduction fluid on a highly heated surface has sparked many investigators’ interest in some in-depth implementations in the fields of engineering, for instance, the petroleum industry and reactors. The foremost official use of the term magnetohydrodynamics has come from Alfvén [1]. Sheri and Modugula [2] explored mass and energy diffusion on transient MHD flow where the chemical reaction in the fluid has been taken into account. This finite element approach reported a salient impact of the Dufour-Soret pair on the characteristics of flow and transport. Makinde et al. [3] demonstrated and reckoned the EFDM result of an electrically and thermally responsive and viscous fluid where fluid passes through two parallel porous plates by maintaining a convective energy exchange within the surroundings. Subhas Abel and Begum [4] presented the large Prandtl number’s case on the flow of viscoelastic materials through a sheet of stretching property. The heat transfer criteria have been analytically counted by the conversion of the energy equation into the version of a hypergeometric differential equation. Chamkha et al. [5] considered tri-diagonal-based numerical schemes to analyze the steady-state situation of MHD flow containing non-isothermal property in the existence of radiation phenomenon. Raptis [6] investigated the vertically constrained flow under the action of relatively higher temperature and thermal radiation. Ahmed and Iqbal [7] employed an annular duct to investigate the power-law nanofluid flow for immutable pressure gradient. They have found a relatively higher hiking trend in the change of heat transfer rate for the shear thinning case. Kiyasatfar and Pourmahmoud [8] iteratively determined non-Newtonian flow within square-shaped microchannels by emphasizing the dissipation and joule heating phenomena. Ravikumar et al. [9] inspected the time-independent Couette flow with the suction velocity varying with periodicity by incorporating the perturbation technique.

Poddar et al. [29] investigated the suction case of MHD vertically constrained flow with magnetic field induction and responsive radiation as well as dissipating features. Both the thermal diffusion and diffusion-thermo impacts have been reported to point significant changes in fluid concentration. Ouaf [30] examined thermal radiation on the MHD steady flow which is asymmetric. Thermal radiation on flow nature has been mentioned on sundry studies as an energy-boosting fact and some studies are worth mentioning, as suggested in Refs. [31-34]. Further, the EFDM schemes have been taken by many researchers [35-38] to analyze multifarious geometries of flow under different circumstances.

This study motives to explore the transient MHD flow over a plate of inclination having porosity, with thermal and mass diffusion characteristics. The interaction of the imposed magnetic field and fluid conductivity induce a magnetic field which has been kept out from the current study for the insignificant estimation of magnetic Reynolds number. Here, the numerical results of the EFDM schemes have been calculated with the mixed impacts of thermal and mass diffusion in two-dimensional transient flow of an incompressible fluid. The behavior of flow properties for several pertinent parameters have been discussed graphically. Finally, a conclusion has been drawn focusing on the main theme of the current volume.

2. Mathematical Model of the Flow

Consider, a transient MHD laminar flow with the functionality of Dufour and Soret influences and the fluid is viscous and incompressible in nature. In Figure 1, X axis represents the direction of fluid motion and this axis is measured along the porous plate. An inclination $\alpha$ is considered between X and Y directions. The temperature and concentration variable are $T_{w}$ and $C_{w}$ respectively at the wall of the plate occupied with radiative fluid of uniform ambient temperature $T_{\infty}$ and uniform ambient concentration $C_{\infty}$.

The uniform magnetic field is denoted by B that is imposed to y = 0 along the Y axis and deemed to be electrically non- conducting. Let, the magnetic vector field is, $\mathbf{B}=$ $\left(B_{x}, B_{y}, B_{z}\right)=\left(0, B_{0}, 0\right)$ where the components are $B_{x}, B_{y}, B_{z}$ in the $X, Y, Z$-direction, respectively.

## 1.png

Figure 1. Configuration of the flow model

The governing equations for the two-dimensional transient flow problem are:

Continuity equation:

$\frac{\partial u}{\partial x}+\frac{\partial u}{\partial y}=0$          (1)

Momentum equation:

\begin{align} & \frac{\partial u}{\partial t}+u\frac{\partial u}{\partial x}+v\frac{\partial u}{\partial y}=~\vartheta \frac{{{\partial }^{2}}u}{\partial {{y}^{2}}}-\frac{1}{\rho }\sigma {{B}_{0}}^{2}u+g\beta \left( T-{{T}_{\infty }} \right) \\ & \cos \alpha +g{{\beta }^{*}}\left( C-{{C}_{\infty }} \right)cos\alpha \\ \end{align}                      (2)

Energy equation:

\begin{align} & \frac{\partial T}{\partial t}+u\frac{\partial T}{\partial x}+v\frac{\partial T}{\partial y}=\frac{k}{\rho {{c}_{p}}}\frac{{{\partial }^{2}}T}{\partial {{y}^{2}}}+\frac{1}{\rho {{c}_{p}}}\sigma {{B}_{0}}^{2}{{u}^{2}} \\ & +{{D}_{m}}\frac{{{\partial }^{2}}C}{\partial {{y}^{2}}}-\frac{1}{\rho {{c}_{p}}}\frac{\partial {{q}_{r}}}{\partial y} \\ \end{align}               (3)

Concentration equation:

$\frac{\partial C}{\partial t}+u\frac{\partial C}{\partial x}+v\frac{\partial C}{\partial y}={{D}_{m}}\frac{{{\partial }^{2}}C}{\partial {{y}^{2}}}+{{D}_{T}}\frac{{{\partial }^{2}}T}{\partial {{y}^{2}}}$              (4)

where, $D_{m}$ is the mass diffusivity, and $q_{r}$ is the radiative heat flux, $\vartheta$ is the kinematic viscosity, $\sigma$ is the electric conductivity, $\frac{k}{\rho c_{p}}$ is the thermal diffusivity, $\rho$ is the fluid density, $k$ is the thermal conductivity, and $c_{p}$ is the specific heat at constant pressure.

The boundary conditions are subjected as,

\text{ t 0,}\left. \begin{align} & \text{ u=}{{\text{U}}_{\text{0}}},v={{v}_{0}},T={{T}_{w}},C={{C}_{w}}\text{ at }y=0 \\ & \text{ u=0},T={{T}_{\infty }},C={{C}_{\infty }}\text{ at }y=\infty \\ \end{align} \right\}                 (5)

Rosseland approximation of radiative flux generates [29],

${{q}_{r}}=-\frac{4{{\sigma }_{1}}}{3{{k}_{1}}}\frac{\partial {{T}^{4}}}{\partial y}$                   (6)

where, $\sigma_{1}$ is the Stefan-Boltzmann constant. Expansion of $T^{4}$ in terms of $T_{\infty}$ by taking the Taylor series and avoiding the higher-orders, we have [38],

${{T}^{4}}\approx 4T_{\infty }^{3}T-3T_{\infty }^{4}$            (7)

The Eq. (3) has been refurnished as:

\left. \begin{align} & \frac{\partial T}{\partial t}+u\frac{\partial T}{\partial x}+v\frac{\partial T}{\partial y}=\frac{k}{\rho {{c}_{p}}}\frac{{{\partial }^{2}}T}{\partial {{y}^{2}}}+\frac{1}{\rho {{c}_{p}}}\sigma {{B}_{0}}^{2}{{u}^{2}} \\ & +{{D}_{m}}\frac{{{\partial }^{2}}C}{\partial {{y}^{2}}}+\frac{16{{\sigma }_{1}}T_{\infty }^{3}}{3\rho {{c}_{p}}{{k}_{1}}}\frac{{{\partial }^{2}}T}{\partial {{y}^{2}}} \\ \end{align} \right\}                    (8)

3. Mathematical Formulation

To discretized and reckon the flow governing equations by using the EFDM procedure, it is necessary to convert them into dimensionless form.

Now we take some dimensionless variables:

\begin{align} & X=\frac{x{{U}_{0}}}{\vartheta },Y=\frac{y{{U}_{0}}}{\vartheta },U=\frac{u}{{{U}_{0}}},V=\frac{v}{{{U}_{0}}},\tau =\frac{t{{U}_{0}}^{2}}{\vartheta }, \\ & \theta =\frac{T-{{T}_{\infty }}}{{{T}_{w}}-{{T}_{\infty }}},\varphi =\frac{C-{{C}_{\infty }}}{{{C}_{w}}-{{C}_{\infty }}} \\ \end{align}

The governing Eqns. (1), (2), (8), and (4) are transformed as follows:

$\frac{\partial U}{\partial X}+\frac{\partial V}{\partial Y}=0$                (9)

\begin{align} & \frac{\partial U}{\partial \tau }+U\frac{\partial U}{\partial X}+V\frac{\partial U}{\partial Y}=\frac{{{\partial }^{2}}U}{\partial {{Y}^{2}}}-MU \\ & +{{G}_{r}}\theta \cos \alpha +{{G}_{m}}\varphi cos\alpha \\ \end{align}                   (10)

$\frac{\partial \theta }{\partial \tau }+U\frac{\partial \theta }{\partial X}+V\frac{\partial \theta }{\partial Y}=\frac{1+{{N}_{r}}}{{{P}_{r}}}\frac{{{\partial }^{2}}\theta }{\partial {{Y}^{2}}}+M{{E}_{c}}{{U}^{2}}+{{D}_{u}}\frac{{{\partial }^{2}}\varphi }{\partial {{Y}^{2}}}$           (11)

$\frac{\partial \varphi }{\partial \tau }+U\frac{\partial \varphi }{\partial X}+V\frac{\partial \varphi }{\partial Y}=\frac{1}{{{S}_{c}}}\frac{{{\partial }^{2}}\varphi }{\partial {{Y}^{2}}}+{{S}_{r}}\frac{{{\partial }^{2}}\theta }{\partial {{Y}^{2}}}$             (12)

And boundary conditions:

$\left. \begin{matrix} \tau >0,\text{ }U=1,V=P,\theta =1,\varphi =1\text{ }at\text{ }Y=0 \\ U\to 0,V\to 0,\theta \to 0,\varphi \to 0\text{ }at\text{ }Y\to \infty . \\\end{matrix} \right\}$                          (13)

where,

$M=\frac{1}{\rho} \frac{\sigma B_{0}^{2} \vartheta}{U_{0}^{2}}$ is the magnetic Parameter;

$G_{r}=\frac{\vartheta g \beta\left(T_{w}-T_{\infty}\right)}{U_{0}{ }^{3}}$ is the Grashof number of heat transfer;

$G_{m}=\frac{\vartheta g \beta^{*}\left(C_{w}-C_{\infty}\right)}{U_{0}{ }^{3}}$ is the Grashof number of mass transfer;

$N_{r}=\frac{16 \sigma_{1} T_{\infty}^{3}}{3 k_{1} k}$ is the radiation parameter;

$P_{r}=\frac{\rho C_{p} \vartheta}{k}$ is the Prandtl number;

$E_{c}=\frac{U_{0}{ }^{2}}{C_{p}\left(T_{w}-T_{\infty}\right)}$ is the Eckert number;

$D_{u}=\frac{D_{m}\left(C_{w}-C_{\infty}\right)}{\vartheta\left(T_{w}-T_{\infty}\right)}$ is the Dufour number;

$S_{C}=\frac{\vartheta}{D_{m}}$ is the Schmidt number;

$S_{r}=\frac{D_{T}\left(T_{w}-T_{\infty}\right)}{\vartheta\left(C_{w}-C_{\infty}\right)}$ is the Soret number;

$P=\frac{v_{0}}{U_{0}}$ is the suction parameter.

4. Stability and Convergence

In this part, we discuss the stability and convergence analysis. Here the continuity equation is not considered as ∆τ does not seem. Fourier expansion for U, θ and φ at t=0 are:

\left. \begin{align} & U:\Psi \left( \tau \right){{e}^{i\alpha X}}{{e}^{i\beta Y}} \\ & \theta :\xi \left( \tau \right){{e}^{i\alpha X}}{{e}^{i\beta Y}} \\ & \varphi :\text{ }\!\!\eta\!\!\text{ }\left( \tau \right){{e}^{i\alpha X}}{{e}^{i\beta Y}} \\ \end{align} \right\}           (14)

And after the time-step,

\left. \begin{align} & U:{\Psi }'\left( \tau \right){{e}^{i\alpha X}}{{e}^{i\beta Y}} \\ & \theta :{\xi }'\left( \tau \right){{e}^{i\alpha X}}{{e}^{i\beta Y}} \\ & \varphi :\eta^{\prime}\left( \tau \right){{e}^{i\alpha X}}{{e}^{i\beta Y}} \\ \end{align} \right\}           (15)

Now substituting all the above Eqns. (14) and (15) into the Eqns. (10)-(12). Further, upon simplification, the governing equations have been obtained as:

\left. \begin{align} & \frac{{\Psi }'\left( \tau \right)-\Psi \left( \tau \right)}{\Delta \tau }+U\frac{\Psi \left( \tau \right)\left( 1-{{e}^{-i\alpha \Delta X}} \right)}{\Delta X}+V\frac{\Psi \left( \tau \right)\left( {{e}^{i\beta \Delta Y}}-1 \right)}{\Delta Y}= \\ & {{G}_{r}}{\xi }'\left( \tau \right)\cos \alpha +{{G}_{m}}{\eta }'\left( \tau \right)\cos \alpha -M\Psi \left( \tau \right)+\frac{2\Psi \left( \tau \right)(\cos \beta \Delta Y-1)}{{{\left( \Delta Y \right)}^{2}}} \\ \end{align} \right\}

\left. \begin{align} & \frac{{\xi }'\left( \tau \right)-\xi \left( \tau \right)}{\Delta \tau }+U\frac{\xi \left( \tau \right)\left( 1-{{e}^{-i\alpha \Delta X}} \right)}{\Delta X}+V\frac{\xi \left( \tau \right)\left( {{e}^{i\beta \Delta Y}}-1 \right)}{\Delta Y}=M{{E}_{c}} \\ & U\Psi \left( \tau \right)+\frac{1+{{N}_{r}}}{{{P}_{r}}}\frac{2\xi \left( \tau \right)(\cos \beta \Delta Y-1)}{{{\left( \Delta Y \right)}^{2}}}+{{D}_{u}}\frac{2\eta \left( \tau \right)(\cos \beta \Delta Y-1)}{{{\left( \Delta Y \right)}^{2}}} \\ \end{align} \right\}

\left. \begin{align} & \frac{{\eta }'\left( \tau \right)-\eta \left( \tau \right)}{\Delta \tau }+U\frac{\eta \left( \tau \right)\left( 1-{{e}^{-i\alpha \Delta X}} \right)}{\Delta X}+V\frac{\eta \left( \tau \right)\left( {{e}^{i\beta \Delta Y}}-1 \right)}{\Delta Y}=\frac{1}{{{S}_{c}}} \\ & \frac{2\eta \left( \tau \right)(\cos \beta \Delta Y-1)}{{{\left( \Delta Y \right)}^{2}}}+{{S}_{r}}\frac{2\xi \left( \tau \right)(\cos \beta \Delta Y-1)}{{{\left( \Delta Y \right)}^{2}}} \\ \end{align} \right\}

Now, the above system can be reduced as:

${\Psi }'\left( \tau \right)={{A}_{1}}\Psi \left( \tau \right)+{{A}_{2}}{\xi }'\left( \tau \right)+{{A}_{3}}{\eta }'\left( \tau \right)$              (16)

${\xi }'\left( \tau \right)={{A}_{4}}\xi \left( \tau \right)+{{A}_{5}}\Psi \left( \tau \right)+{{A}_{6}}\eta \left( \tau \right)$                 (17)

${\eta }'\left( \tau \right)={{A}_{7}}\eta \left( \tau \right)+{{A}_{8}}\xi \left( \tau \right)$                          (18)

where,

\begin{align} & {{A}_{1}}=1-U\frac{\Delta \tau }{\Delta X}\left( 1-{{e}^{-i\alpha \Delta X}} \right)-V\frac{\Delta \tau }{\Delta Y}\left( {{e}^{i\beta \Delta Y}}-1 \right)-M\Delta \tau \\ & +\frac{2\Delta \tau }{{{\left( \Delta Y \right)}^{2}}}(\cos \beta \Delta Y-1) \\ \end{align}

${{A}_{2}}={{G}_{r}}\Delta \tau \cos \alpha$

${{A}_{3}}={{G}_{m}}\Delta \tau \cos \alpha$

\begin{align} & {{A}_{4}}=1-U\frac{\Delta \tau }{\Delta X}\left( 1-{{e}^{-i\alpha \Delta X}} \right)-V\frac{\Delta \tau }{\Delta Y}\left( {{e}^{i\beta \Delta Y}}-1 \right)+ \\ & \frac{1+{{N}_{r}}}{{{P}_{r}}}\frac{2\Delta \tau }{{{\left( \Delta Y \right)}^{2}}}(\cos \beta \Delta Y-1) \\ \end{align}

${{A}_{5}}=M{{E}_{c}}U\Delta \tau$

${{A}_{6}}=\frac{2{{D}_{u}}\Delta \tau }{{{\left( \Delta Y \right)}^{2}}}(\cos \beta \Delta Y-1)$

\begin{align} & {{A}_{7}}=1-U\frac{\Delta \tau }{\Delta X}\left( 1-{{e}^{-i\alpha \Delta X}} \right)-V\frac{\Delta \tau }{\Delta Y}\left( {{e}^{i\beta \Delta Y}}-1 \right)+ \\ & \frac{2\Delta \tau }{{{S}_{c}}{{\left( \Delta Y \right)}^{2}}}(\cos \beta \Delta Y-1) \\ \end{align}

${{A}_{8}}=\frac{2{{S}_{r}}\Delta \tau }{{{\left( \Delta Y \right)}^{2}}}(\cos \beta \Delta Y-1)$

Putting Eqns. (17) and (18) in Eq. (16) the following equation has been obtained as:

${\Psi }'\left( \tau \right)={{A}_{9}}\Psi \left( \tau \right)+{{A}_{10}}\xi \left( \tau \right)+{{A}_{11}}\eta \left( \tau \right)$                 (19)

where, $A_{9}=A_{1}+A_{2} A_{5}, A_{10}=A_{2} A_{4}+A_{3} A_{8}$, and $A_{11}=$ $A_{2} A_{6}+A_{3} A_{7}$.

The Eqns. (19), (17) and (18) become:

${\Psi }'\left( \tau \right)={{A}_{9}}\Psi \left( \tau \right)+{{A}_{10}}\xi \left( \tau \right)+{{A}_{11}}\eta \left( \tau \right)$

${\xi }'\left( \tau \right)={{A}_{4}}\xi \left( \tau \right)+{{A}_{5}}\Psi \left( \tau \right)+{{A}_{6}}\eta \left( \tau \right)$

${\eta }'\left( \tau \right)={{A}_{7}}\eta \left( \tau \right)+{{A}_{8}}\xi \left( \tau \right)$

And these equations are expressed in matrix notation as:

$\left[ \begin{matrix} {{\Psi }'} \\ {{\xi }'} \\ {{\eta }'} \\\end{matrix} \right]=\left[ \begin{matrix} {{A}_{9}} & {{A}_{10}} & {{A}_{11}} \\ {{A}_{5}} & {{A}_{4}} & {{A}_{6}} \\ 0 & {{A}_{8}} & {{A}_{7}} \\\end{matrix} \right]\left[ \begin{matrix} \Psi \\ \xi \\ \eta \\\end{matrix} \right]$

That is, ω'=.

where,

${\omega }'=\left[ \begin{matrix} {{\Psi }'} \\ {{\xi }'} \\ {{\eta }'} \\\end{matrix} \right];T=\left[ \begin{matrix} {{A}_{9}} & {{A}_{10}} & {{A}_{11}} \\ {{A}_{5}} & {{A}_{4}} & {{A}_{6}} \\ 0 & {{A}_{8}} & {{A}_{7}} \\\end{matrix} \right];\omega =\left[ \begin{matrix} \Psi \\ \xi \\ \eta \\\end{matrix} \right]$

Now we determine the eigenvalues of T, but this is very hard since T is a third-order matrix. That is why we assume that $E_{c}$ and $D_{u}$ are very small which means tends to be zero. According to this condition $A_{9}=A_{1}, A_{5}=A_{6}=0$ and $A_{11}=A_{3} A_{7} . \mathrm{So}$,

$T=\left[ \begin{matrix} {{A}_{1}} & {{A}_{10}} & {{A}_{11}} \\ 0 & {{A}_{4}} & 0 \\ 0 & {{A}_{8}} & {{A}_{7}} \\\end{matrix} \right]$

From this above matrix, we get $\lambda_{1}=A_{1}, \lambda_{2}=A_{4}, \lambda_{3}=A_{7}$. For stability, $\lambda_{1}, \lambda_{2}$ and $\lambda_{3}$ are less than or equal to one in modulus. $\underline{\underline{S o}}$ the required condition is $\left|A_{1}\right| \leq 1,\left|A_{4}\right| \leq 1$ and $\left|A_{7}\right| \leq 1$.

Case-I: $\left|A_{1}\right| \leq 1$,

\begin{align} & {{A}_{1}}=\left( 1-a-b-2c-M\Delta \tau \right)+a(\cos \alpha \Delta X-i\sin \alpha \Delta X) \\ & +b(\cos \beta \Delta Y+i\sin \beta \Delta Y)+2c\cos \beta \Delta Y \\\end{align}

Let $a=U \frac{\Delta \tau}{\Delta X}, b=|-V| \frac{\Delta \tau}{\Delta Y}$ and $c=\frac{\Delta \tau}{(\Delta Y)^{2}}$, then $A_{1}=(1-$ $a-b-2 c-M \Delta \tau)-a-b-2 c=1-[2(a+b+2 c)+$ $M \Delta \tau]$.

We get the maximum modulus of $A_{1}$ as $\alpha \Delta X=m \pi, \beta \Delta Y=n \pi$, ( $m \& n$ are integers and $A_{1}$ is real).

When m&n are odd integers:

\begin{align} & {{A}_{1}}=\left( 1-a-b-2c-M\Delta \tau \right)-a-b-2c=1- \\ & \left[ 2\left( a+b+2c \right)+M\Delta \tau \right] \\ \end{align}

When m&n are even integers:

${{A}_{1}}=\left( 1-a-b-2c-M\Delta \tau \right)+a+b+2c=1-M\Delta \tau$

The condition requires that $\left|A_{1}\right| \leq 1$. For large $\Delta \tau$, the value of $A_{1}$ is relatively larger when $m \& n$ both are odd integers. So, $A_{1}=1-[2(a+b+2 c)+M \Delta \tau]$. To satisfy $\left|A_{1}\right| \leq 1$, where the least value is $A_{1}=-1$.

Thus, the condition is

$U\frac{\Delta \tau }{\Delta X}+\left| V \right|\frac{\Delta \tau }{\Delta Y}+2\frac{\Delta \tau }{{{\left( \Delta Y \right)}^{2}}}+\frac{M\Delta \tau }{2}\le 1$             (20)

Likewise, Case-II $\left(\left|A_{4}\right| \leq 1\right)$ gives,

$U\frac{\Delta \tau }{\Delta X}+\left| V \right|\frac{\Delta \tau }{\Delta Y}+\frac{1+{{N}_{r}}}{{{P}_{r}}}\frac{2\Delta \tau }{{{\left( \Delta Y \right)}^{2}}}\le 1$          (21)

Also, Case-III $\left(\left|A_{7}\right| \leq 1\right)$ gives

$U\frac{\Delta \tau }{\Delta X}+\left| V \right|\frac{\Delta \tau }{\Delta Y}+\frac{2}{{{S}_{c}}}\frac{\Delta \tau }{{{\left( \Delta Y \right)}^{2}}}\le 1$             (22)

Since from initial condition $U=V=0$ at $\tau=0$, the Eqns. (20), (21), (22) give $M \leq 336, P_{r} \geq 0.24$ for $N_{r}=0.5$, and $N_{r} \leq$ $3.44$ for $P_{r}=0.71, S_{c} \geq 0.16$ respectively.

Hence the convergence criteria are $M \leq 336, P_{r} \geq 0.24$ for $N_{x}=0.5, N_{x}<3.44$ for $P_{r}=0.71$, and $S_{\Omega}>0.16$

5. Numerical Solutions

Same number of finite difference equations have been determined from the previous non-dimensional equations. For this purpose, a rectangular region is chosen which has two axes $(X$ and $Y)$. Let $X_{\max }(=100)$ i.e. $X$ ranges from 0 to 100 and $Y_{\max }(=25)$ as corresponding to $Y \rightarrow \infty .$ Consider, $m=100$ and $n=100$ grids in the $X$ and $Y$-directions respectively as visualised in Figure 2. The flow zone has been discretized in backward difference for the terms in the first-order derivative along the X axis and forward difference along the Y axis while the central difference does the tasking of higher-order discretizations. The time value of a particular point is calculated by importing the time value of the preceding point. The mesh sizes of X and Y are ∆X, ∆Y where ∆X=1.0(0≤x≤100); ∆Y=0.25(0≤y≤25) with ∆τ=0.005.

## 2.png

Figure 2. Grid sheet

i and j refer the specific grid points with X and Y co-ordinates respectively while the time value, τ=nτ, where n=0, 1, 2, 3, 4….

6. Results and Discussion

The upshots of the two-dimensional transient flow have been understood and revealed in terms of sundry dimensionless parameters by solving the governing system of PDEs in an efficient EFDM procedure. The results have been determined for $\tau=40, m=100$ and $n=100$. The results are restricted to $P_{\mathrm{r}}=0.30\left(P_{\mathrm{r}}\right.$ around $0.16-0.70$ for gaseous mixtures), $\mathrm{P}_{\mathrm{r}}=0.63$ ( $\mathrm{P}_{\mathrm{r}}$ for Oxygen), $\mathrm{P}_{\mathrm{r}}=0.71\left(\mathrm{P}_{\mathrm{r}}\right.$ for air at $\left.20^{\circ} \mathrm{C}\right), \mathrm{P}_{\mathrm{r}}=1.0\left(\mathrm{P}_{\mathrm{r}}\right.$ for saltwater at $\left.20^{\circ} \mathrm{C}\right)$, and $\mathrm{P}_{\mathrm{r}}=1.38\left(\mathrm{P}_{\mathrm{r}}\right.$ for gaseous Ammonia). According to the convergence conditions the values of Schmidt number $\left(S_{c}\right)$ are taken $0.22$ (for Hydrogen), $0.30$ (for Helium), $0.60$ (for water vapor), $0.78$ (for Ammonia) and 1.0 (for Methanol at 25°C and 1atm). However, the arbitrary choices have been taken for the rest of the parameters accordingly with the converging criteria. The profiles of velocity, temperature, and concentration with the influence of various parameters have been illustrated pictorially in Figures 3-32.

The velocity, temperature, and concentration profiles against magnetic parameter M have been illustrated in Figures 3-5. In Figures 3-4, fluid velocity and temperature show the decreasing (for Y≤18 approximately) and increasing (for Y≤10 approximately) trends respectively near the porous wall with the rising values of M and thereafter start to fall. But fluid concentration seems to be increase with the rise of M as shown in Figure 5.

## 3.jpg

Figure 3. Velocity profiles for M

## 4.jpg

Figure 4. Temperature profiles for M

## 5.jpg

Figure 5. Concentration profiles for M

The features of Grashof number of heat transfer $G_{r}$ on flow profiles have been depicted in Figures 6-8. In Figures 6-7, flow velocity (for Y≤15 approximately) and temperature (for Y≤14 approximately) both demonstrate the rising trends contiguous to the plate with the intensification of the values of $G_{r}$ and thereafter for the rest of the boundary layer zone, those begin to suppress. In Figure 8, it is obvious that the boundary layer for concentration contracts in the flow tract for rising estimation of $G_{r}$.

## 6.jpg

Figure 6. Velocity profiles for $G_{r}$

## 7.jpg

Figure 7. Temperature profiles for $G_{r}$

## 8.jpg

Figure 8. Concentration profiles for $G_{r}$

In Figures 9-11, the impacts of Grashof number of mass transfer $G_{m}$ on flow profiles have been depicted. Concentration level is marked to diminish with the increase of $G_{m}$, while the flow velocity (for Y≤14 approximately) and temperature (for Y≤13 approximately) both rise and then for the rest of the boundary layer tract, they fall down for the rising estimations of $G_{m}$.

## 9.jpg

Figure 9. Velocity profiles for $G_{m}$

## 10.jpg

Figure 10. Temperature profiles for $G_{m}$

## 11.jpg

Figure 11. Concentration profiles for $G_{m}$

The graphical representations of thermal radiation parameter $N_{r}$ on the velocity of the fluid along with the temperature and concentration distributions have been demonstrated in Figures 12-14. It is observed from Figures 12-13 that both the velocity and temperature first decrease until Y≤17 (approximately) and Y≤18 (approximately) respectively, and then develops with the increase of $N_{r}$. A minor increasing effect has been noticed in concentration from Figure 14 with the increase of $N_{r}$.

## 12.jpg

Figure 12. Velocity profiles for $N_{r}$

## 13.jpg

Figure 13. Temperature profiles for $N_{r}$

## 14.jpg

Figure 14. Concentration profiles for $N_{r}$

The behavior of the Prandtl number $P_{r}$ on the velocity field, fluid temperature, and fluid concentration has been illustrated in Figures 15-17. In Figures 15-16, fluid velocity and temperature both show first increasing impact until Y≤16 (approximately) and Y≤19 (approximately) respectively and then reveal decreasing impact with the rise of $P_{r}$. In Figure 17, fluid concentration discloses marginal decrement with the increase of $P_{r}$.

In Figures 18-20, the behavior of Eckert number $E_{c}$ on fluid velocity, temperature, and concentration has been shown. The concentration boundary layer is found to decrease with the rise of $E_{c}$ from Figure 20, while the fluid velocity (for Y≤16 approximately) and temperature (for Y≤17 approximately) both increase and then decrease for the increasing values $E_{c}$.

## 15.jpg

Figure 15. Velocity profiles for $P_{r}$

## 16.jpg

Figure 16. Temperature profiles for $P_{r}$

## 17.jpg

Figure 17. Concentration profiles for $P_{r}$

## 18.jpg

Figure 18. Velocity profiles for $E_{c}$

## 19.jpg

Figure 19. Temperature profiles for $E_{c}$

## 20.jpg

Figure 20. Concentration profiles for $E_{c}$

## 21.jpg

Figure 21. Velocity profiles for $D_{u}$

## 22.jpg

Figure 22. Temperature profiles for $D_{u}$

## 23.jpg

Figure 23. Concentration profiles for $D_{u}$

## 24.jpg

Figure 24. Velocity profiles for $S_{c}$

## 25.jpg

Figure 25. Temperature profiles for $S_{c}$

## 26.jpg

Figure 26. Concentration profiles for $S_{c}$

## 27.jpg

Figure 27. Velocity profiles for $\alpha$

## 28.jpg

Figure 28. Temperature profiles for $\alpha$

## 29.jpg

Figure 29. Concentration profiles for $\alpha$

## 30.jpg

Figure 30. Velocity profiles for $S_{r}$

## 31.jpg

Figure 31. Temperature profiles for $S_{r}$

## 32.jpg

Figure 32. Concentration profiles for $S_{r}$

The velocity, temperature, and concentration profiles for different estimations of the Dufour number $D_{u}$ have been illustrated in Figures 21-23. In Figures 21-22, fluid velocity discloses a gradual increasing change, while temperature profile marginally decreases near the plate and then raises with the raise of $D_{u}$. The negligible changing behavior of fluid concentration has been counted in Figure 23 with the increase of $D_{u}$.

The graphical representation of Schmidt number $S_{c}$ on fluid velocity, temperature, and concentration have been depicted in Figures 24-26. From Figures 24-25, it is noted that the flow velocity decreases until Y≤11 (approximately) and then increases, while the temperature profile falls with the enhancement of $S_{c}$. The concentration near the wall hikes up and then after Y≤10 (approximately), it starts to decrease with the raise of $S_{c}$.

The influences of different inclined angles $\alpha$ on the flow velocity, temperature, and concentration are illustrated in Figures 27-29. Figures 27 and 28 disclose that both the flow velocity and temperature substantially suppress contiguous to the plate and then increasingly project through the rest of the boundary layer regime with the raise of $\alpha$. The fluid concentration in Figure 29 exhibits that it enhances with the raise of $\alpha$.

The velocity, temperature, and concentration have been illustrated in Figures 30-32 against Soret number $S_{r}$. In those figures, decrement in fluid concentration has been marked with the larger values of $S_{r}$. The velocity and the temperature both first fall down and then climb up with the increase of $S_{r}$.

7. Conclusion

The EFDM numerical reckoning on transient MHD radiative flow over a porous plate of an inclination with Soret and Dufour impacts has been presented in the current study. The salient upshots of flow phenomena are mentioned and discussed for different important parameters. The concluding remarks for the present numerical investigation are specified below:

1. Fluid velocity boosts up near the wall with the enhancement of $G_{r}, G_{m}, P_{r}, E_{c}$ and diminish for the increasing values of $M, N_{r}, \alpha$.

2. The fluid temperature has been reported to develop with the increase of $P_{r}$, and $E_{c}$ fall with the increase of $N_{r}$, and $S_{c}$, vicinity to the plate.

3. Fluid concentration has been marked to dense with the raise of $M$, and $\alpha$ and fall with the rise of $G_{r}, G_{m}, E_{c}$, and $S_{r} .$

4. A minor effect has been seen in fluid velocity for $D_{u}$ and in fluid concentration for $N_{r}, D_{u}$.

In general, it is identified that the velocity tends to increase or decrease consecutively towards the plate and then decrease or increase slowly off the plate. The same behavior has been seen for fluid temperature. Some parameters such as $N_{r}, D_{u}$  have minor effects on concentration.

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