15
Investigation of Viscoelastic Magnetohydrodynamics (MHD) Flow Over an Expanded Lamina Surrounded in a Permeable Media

Hiranmoy Mondal1, Arindam Sarkar2 and Raj Nandkeolyar2

1Department of Applied Science, Maulana Abul Kalam Azad University of Technology, West Bengal, Kolkata, India

2Department of Mathematics, National Institute of Technology Jamshedpur, Jamshedpur, India

Abstract

The results of the boundary value problem of MHD nanofluid micropolar fluid flow have been carried out throughout this study. Using the spectral quasi-linearization method (SQLM), the mass as well as heat transfer effects of fluid have been investigated. A stream consists of viscous dissipation, bouncy force, thermal radiation, and Joule heating. It has been scrutinized that the existence of magnetic parameter Mn enhances concentration and temperature gradient, whereas the appearance of permeable media turns down the velocity profile.

Keywords: Stretching surface, MHD flow, darcy dissipation, viscoelastic liquid, nanofluids, chemical reaction, spectral quasi linearization method

15.1 Introduction

15.1.1 Literature Review

Viscoelastic Magneto-hydrodynamic nanofluids through a stretching sheet have a broad range of practical applications in industries such as paper production, metal spinning, relegation of plastic lamina, continuous welding of metals, production of synthetic sheets, removal of heat from metallic sheets, etc.

The study of magnetohydrodynamics (MHD) takes place as an essential part in thermodynamics, especially during the determination of boundary layer flow for cooling of nuclear reactors, high-temperature plasmas, etc. [1]. Pal and Mondal [2] reported that the stretching parameter and velocity profile are inversely related. Baag et al. [3] investigated the entropy generation through an electrically-conducting viscoelastic MHD fluid stream upon an exponentially expanded porous lamina. The boundary layer equations have been solved via Kummer’s function. The viscoelastic and magnetic parameters were shown to be inversely related to velocity, whereas the elastic parameter was linearly proportional to velocity. Furthermore, porous matrix and the inverse of the Prandtl number were found to be directly proportional to temperature [3]. Also, Pal and Mondal [4] studied laminar, unwavering, and convective boundary layer Newtonian fluid streams. They examined the heat absorbing/producing effect of the fluid which is passing through a non-isothermal along with the thermal radiation immersed in a permeable surface.

15.1.2 Nomenclature

B0Strength of uniform magnetic field
CpSpecific heat of the fluid
fStream function
KThermal conductivity of the fluid
MnMagnetic parameter
RRadiation parameter
TNon-dimensional temperature
TAmbient temperature/temperature far from sheet
ρDensity of the fluid
KpPorosity parameter
k0Dimensionless elastic parameter
imagePorosity parameter
sPlate concentration parameter
rPlate temperature parameter
DMolecular diffusivity
DBBrownian motion coefficient
DTThermophoretic diffusion coefficient
μDynamic viscosity
νKinematic coefficient of viscosity
σElectrical conductivity
RcElastic parameter
PrPrandtl number
NtThermophoresis parameter
NbBrownian motion parameter
LeLewis number

At present, nanofluids are very significant in engineering applications as well as biomedical science, as it increases heat transfer and energy efficiency in various kinds of thermal systems. Nanofluid is a special kind of heat transfer medium containing oxides or metals, e.g., zinc oxide, copper oxide, alumina or iron oxide having a radius less than 100 nm, which are equally and stably spread out in a base fluid like water, oil, acetone, etc. Over the last few years, nanofluids have drawn a substantial amount of attention for their unique properties which are very beneficial in the chemical and metallurgical area, cooling, ventilation, thermal therapy for cancer treatment, power generation, micro-manufacturing, and air conditioning. The literature survey shows that during the past few decades, curiosity around fluid flowing through a stretching surface has grown. Crane [5] investigated constant stretching surface temperature problems. Later on, a small number of researchers investigated the outcomes of chemical repercussions, heat and mass alternation, thermal slip conditions of various non-Newtonian fluids, or probable combined effects of the above [6–11].

Due to countless industrial applications like power generation system and modern metallurgical processes, many researches have been attracted to the MHD electrically conducting fluid flow. Hayat et al. [12] considered an unperturbed incompressible MHD Walter-B nanofluid flow that is passing through a nonlinear stretching surface. Using homotopy analysis they deciphered their mathematical model, whereas Daniel et al. [13] did his research in the heat alternation effect of MHD nanofluid stream take across a porous stretching surface. Hayat et al. [14] studied the heat transmission of a nanofluid stream with various dissipation and Joule heating along a permeable stretched cylinder and the stream was subjected to nonlinear thermal diffusion with homogeneous-heterogeneous reactions. They used an Explicit Euler formula to resolve their fluid model. Hayat et al. [15] calculated the effect of melting heat distribution of a MHD nanofluid genre with nonlinear thermal diffusion in regards to the stagnation point along an expanded lamina. Using homotopy analysis they deciphered their flow equations. Kishan and Maripala [16] presented a mathematical model of the Darcy Forchheimer MHD boundary layer stream by a permeable expanded lamina. They also calculated the thermophoresis and viscous dissipation. The perusal of a hydromagnetic stream of an electrically conducting fluid has drawn a significant observation due to its applications in recent metallurgical and metal-working processes. The effect of a magnetic field is an important part to manage the momentum as well as heat conduction in the boundary layer stream of various kind of fluids. Several researchers (Ibrahim et al. [17], Turkyilmazoglu [18], Farooq et al. [19], Sheikholeslami et al. [20], Baag et al. [21], Sheikholeslami et al. [22], Abdul Hakeem et al. [23]) studied about the impact of magnetic field on MHD fluid.

It is immensely important to scrutinize the behavior of heat absorption/production on account of several kinds of physical models in modern days. Eldahab and Aziz [24] have investigated the results of uneven heat exploitation/whiff effect of viscous fluid with thermal radiation. Abel et al. [25] examined the non-Newtonian MHD viscoelastic fluid upon a flat lamina. Ganga et al. [26] investigated the entropy generation on nanofluid flow through an expanded lamina by considering velocity slip condition and nonlinear thermal radiation. The study of heat distribution analysis for multiphase magnetic fluid passing through a flat lamina with heat exploitation/production and thermal diffusion was scrutinized by Zeeshan et al. [27]. The spectral quasi-linearization method (SQLM) is an important numerical method to solve highly nonlinear differential equation in fluid dynamics. Mondal et al. [28] and Motsa [29] used this method to solved the mathematical problem of the fluid flow.

The originality of the recent perusal is to consider the chemical reaction and thermophoresis effect on the viscoelastic MHD nanofluid flow. The values of (Cf), (Nu), and (Sh) for different parameters has been discussed numerically. The outcome of this study will provide useful information for applications in several engineering processes along with a complement to the prior perusal.

15.2 Formulation of the Problem

Along the way of the main stream of the lamina, the xaxis has been considered and the direction of the yaxis is perpendicular to the lamina with velocity components u, v along the xaxis and yaxis, respectively as demonstrated in Figure 15.1.

The ruling equations of two-dimensional stream considering the boundary layer approximation are presented in this fashion:

(15.1)image
Image

Figure 15.1 Schematic diagram.

The relevant boundary conditions are

(15.5)image

15.2.1 Analytical Solution

The stream function Ψ(x, y) is worthwhile for the continuity equation

(15.6)image

Considering the similarity conversion

image

Substituting all the above values, Equations (15.2), (15.3), and (15.4) are transformed as follows:

Wherein f′(η) stand for the differentiation of f with respect to η, image represents Brownian motion parameter, image represents the thermophoresis parameter, image is the Prandtl number, image is the Lewis number, and image.

15.2.2 Numerical Methods (Spectral Quasi-Linearization Methods)

Amalgamated with boundary condition (15.10), the nonlinear-coupled ordinary differential Equations (15.7), (15.8), and (15.9) are solved numerically, applying the spectral quasi-linearization method (SQLM).

image

The linear term is as follows:

image

The nonlinear term of the energy equation is:

image

The converted linear term is as follows:

image

The nonlinear term of the concentration equation is:

image

The converted linear term is as follows:

image

15.3 Result and Argument

The effect of ruling parameters on the skin-friction coefficient, Nusselt number, and Sherwood number has been presented in the following, Table 15.1 from tabular data we observe that (Cf) enhances with a rise in both magnetic parameter and thermophoresis parameter, whereas (Cf) reduces with enhancement in Soret number, chemical repercussion, and Brownian motion parameter. Nu reduces monotonically with enhancement in Soret number and rises with enhancement in magnetic, Brownian, and thermophoresis parameters and chemical reaction. Further, it has been audited that the sequel of magnetic parameter, thermophoresis parameter, and Soret number is to enhance the Sherwood number and reverse the effects of chemical reactions. The Brownian motion parameter has been observed on the Sherwood number.

Table 15.1 Values (Cf), (Nu), and (Sh) for different parameters.

MnSrR1NbNtf″(0)θ′(0)−Ø′(0)
0.00.70.20.50.26.47747836-1.24792674-0.16130247
0.26.68965205-1.23881769-0.15872752
0.67.09600494-1.22067600-0.15482334
0.20.70.20.50.26.68965205-1.23881769-0.15872752
1.66.68959350-2.068339850.15987681
5.06.69009405-4.339456431.04495979
0.20.70.00.50.26.68959327-1.570624050.21775166
0.46.69037312-1.09209497-0.36582335
0.66.69002619-1.00077201-0.51685468
0.20.70.20.20.26.68988106-1.670462860.80664545
0.66.68993581-1.12522670-0.25586930
0.86.69012545-0.93800745-0.36733042
0.20.70.20.50.16.68959286-1.32703668-0.32973517
0.46.68990575-1.093558040.11126215
0.76.69039059-0.937320320.40484395

Figures 15.2 and 15.3 show a graph of Mn on f′(η) and f(η), respectively. Through Figure 15.4 it can be audited that the result of Mn enhances the concentration at all points.

Figures 15.5 and 15.6 portray the temperature gradient θ(η) for several values of the magnetic parameter Mn and Prandtl number Pr. It has been audited that in Figure 15.5, θ(η) increases with η and it does not depend on the value of the Prandtl number, thermophoresis parameter, Lewis parameter, etc., whereas Figure 15.7 portrays an enhancement in the elastic parameter Rc, which decreases the transverse velocity f(η) for Mn = 2.

Image

Figure 15.2 Result of Mn on f′(η) for Rc = 0.1, Pr = 8.

Image

Figure 15.3 Results of Mn on f(η) for Rc = 0.1, Pr = 8.

Image

Figure 15.4 Results of Mn on Ø(η) for Rc = 0.1, Pr = 8.

Image

Figure 15.5 Results of Mn on θ(η) for Rc = 0.1, Pr = 8.

Image

Figure 15.6 Results of Pr on θ(η) for Mn = 2.

Image

Figure 15.7 Results of Rc on f(η) for Mn = 2.

The concentration profiles Ø(η) for various values of chemical repercussion parameter Che are portrayed in Figure 15.8. The temperature and chemical reaction parameters are inversely related.

The influence of the plate concentration parameter S, Lewis parameter Le, and Porosity parameter Kp on the concentration profile is shown in Figure 15.9, 15.10, and 15.11. From Figures 15.8 and 15.9, it is audited that concentration gradient parameter Ø(η) diminishes with η for Mn keeping constant, Mn = 2, i.e., the plate concentration parameter and Lewis parameter are inversely proportional with concentration gradient. It is also audited that with the enhancement on η, after a certain time there will be no effect of plate concentration parameters on concentration gradient. Figure 15.11 illustrates the result of porosity parameter on velocity gradient and it is seen that appearance of porous matrix increases the velocity at each point and after a certain time, transverse velocity becomes parallel to the axis of η.

Image

Figure 15.8 Results of chemical reaction on Ø(η) for Mn = 2, Rc = 0.1, S = 0.5, Pr = 8.

Image

Figure 15.9 Results of plate concentration on Ø(η) for Mn = 2, Rc = 0.1, Che = 0.5.

Image

Figure 15.10 Results of Lewis parameter Le on Ø(η) for Mn = 2, Rc = 0.1, Che = 0.5.

Image

Figure 15.11 Results of Kp on f(η) for Mn = 2, Rc = 0.1, Che = 0.5.

15.4 Conclusion

The solutions for a steady boundary layer stream and heat distribution for a nanofluid throughout an exponentially expanded lamina in the presence of a chemical reaction is analysed. Results of the magnetic parameter and the viscoelastic parameter on various velocities are discussed. The impression of the magnetic parameter, Prandtl number, and the heat sink/source parameter on the temperature profiles are presented. The main findings of this research may be shortened as follows:

  1. Concentration and temperature are directly proportional to the magnetic parameter
  2. Elastic parameter decreases the temperature at every point
  3. Plate concentration parameter and Lewis parameter are inversely proportional with concentration profile
  4. Presence of magnetic parameter and porous matrix decreases the velocity at all points

References

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Note

  1. Corresponding author: [email protected]
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