[picture] | Fluid Dynamics & Materials Processing | [picture]

DOI: 10.32604/fdmp.2022.020508

REVIEW

Numerical Analysis of the Mixed Flow of a Non-Newtonian Fluid over a Stretching Sheet with Thermal Radiation

Nourhan I. Ghoneim¹,* and Ahmed M. Megahed²

1 Maritime Department-Marine Engineering, International Maritime College Oman (IMCO), Suhar, 322, Sultanate of Oman
2 Department of Mathematics, Faculty of Science, Benha University, Benha, 13518, Egypt
Corresponding Author: Nourhan I. Ghoneim. Email: norhan@imco.edu.om
Received: 27 November 2021; Accepted: 07 March 2022

Abstract: A mathematical model is elaborated for the laminar flow of an Eyring-Powell fluid over a stretching sheet. The considered non-Newtonian fluid has Prandtl number larger than one. The effects of variable fluid properties and heat generation/absorption are also discussed. The balance equations for fluid flow are reduced to a set of ordinary differential equations through a similarity transformation and solved numerically using a Chebyshev spectral scheme. The effect of various parameters on the rate of heat transfer in the thermal boundary regime is investigated, i.e., thermal conductivity, the heat generation/absorption ratio and the mixed convection parameter. Good agreement appears to exist between theoretical predictions and the existing published results.

Keywords: Porous medium; Eyring-Powell fluid; Chebyshev spectral method; mixed convection; thermal stratification

List of symbols

u | Component of velocity in the x-direction
v | Component of velocity in the y-direction
T0 | The reference temperature
T∞ | The temperature in the surroundings
β,C | The characteristics of Powell-Eyring Model
k | The permeability of the porous medium
g | The gravitational acceleration
ρ∞ | The ambient fluid density
ψ | The stream function
T | The fluid temperature
Q | The heat sources coefficient
qr | The radiative heat flux
cp | The specific heat at constant pressure
b1,b2 | The positive dimensional constants
σ∗ | The Stefan-Boltzman constant
k∗ | The absorption coefficient
f | The non-dimensional stream function
η | The similarity variable
θ | The dimensionless fluid temperature
α,δ | The dimensionless Powell-Eyring fluid parameters
Δ | The porous parameter
Γ | The heat generation (absorption) parameter
e1 | The thermal stratification parameter
Pr | The Prandtl number
Cfx | The local skin-friction
Nux | The local Nusselt number
Re | The local Reynolds number

1  Introduction

Many neoteric engineering applications require control of both the cooling mechanism and the high-speed transfer of fluid flow, particularly the flow produced by stretching the sheet. Abundant examples can be cited in chemical engineering and particularly in the manufacturing of plastic and rubber sheets, crystal growing, food processing, solidification of liquid crystals, glass blowing, hot rolling, continuous cooling, fiber spinning, exotic lubricants, and several other areas of technology. Many assumptions regarding the nature of fluid flow over a stretching sheet, along with properly chosen boundary conditions, result in accurate and numerical solutions to the conservation equations that describe flow velocity, heat transfer mechanisms, and mass transfer processes [1–6]. While the prediction of cooling phenomena is extremely useful, certain other information such as suction or injection, thermal radiation and heat flux is also valuable [7–10]. A reasonably straightforward correlation between proper physical circumstances and some physical assumptions, in particular, becomes useful in predicting model performance or setting cooling parameters [11–13]. Because of its biological, geological, and engineering applications in purification processes, liquid film evaporation, filtration processes, petroleum industries, and subsurface water resources, the topic of fluid flow within a porous medium has recently gotten a lot of interest. As shown in the diagram, the porous medium can be classified into two types based on its porosity: porous medium with high porosity and porous medium with low porosity (Fig. 1).

Figure 1: (a) Porous medium with low porosity (b) Porous medium with high porosity

The flow and temperature fields are considered over linear and non-linear stretching sheets in all of the preceding investigations. Theoreticians have been less enthusiastic to study the non-Newtonian Powell-Eyring fluid because they believe that this sort of boundary-layer fluid is unsuitable for industrial use. However, they observed that non-Newtonian fluids caused by stretching sheets provide a significant engineering and technological problem because of their widespread engineering and technological applications in a variety of industrial and engineering processes [14–19]. In references [20–38], you can find some additional interesting contributions on Newtonian and non-Newtonian nanofluid flow and its applications in manufacturing.

The fundamental purpose of this research is to look at the heat transfer properties of an Eyring-Powell fluid flow caused by a stretching sheet immersed in a porous media and influenced by thermal radiation. Our focus here is on two fundamental physical phenomena: mixed convection and thermal stratification, both of which have significant effects on cooling rates. The results of the current analysis were obtained after employing the efficient Chebyshev spectral method.

2  Formulation of the Problem

A layer of finite thickness is constrained on one side by a stretched wall in the physical model. This surface is assumed to has a temperature Tw and it is stretching with a velocity Uw=ax in the vertical direction toward the x-axis (Fig. 2).

Figure 2: A schematic representation of the model

In order to be as precise as possible, the number of governing parameters for this physical model is introduced by assuming that there are heat sources with a coefficient Q and thermal radiation phenomenon with radiative heat flux qr and that the steady-state exists. Steady mixed convection flow for the Powell-Eyring fluid with density ρ is assumed to move over a stratified sheet and some of fluid properties are taken to be dependent of temperature such as viscosity μ and thermal conductivity κ .

The temperature distribution and energy transfer across the thermal layer can be predicted using the thermal characteristics and boundary conditions. The shear stress relation, which describes the Powell-Eyring model, is [39]:

τij=μ∂ui∂xj+1βsinh−1(1C∂ui∂xj) (1)

where β,C are the characteristics of Powell-Eyring Model.

Considering sinh−1(1C∂ui∂xj)≅1C∂ui∂xj−16(1C∂ui∂xj)3 , |1C∂ui∂xj|≤1 .

For the above physical situation, basic equations for mass, momentum and energy after using the appropriate boundary layer approximations are thus:

∂u∂x+∂v∂y=0 (2)

u∂u∂x+v∂u∂y=1ρ∞∂∂y(μ∂u∂y+1βC∂u∂y−16βC3(∂u∂y)3)+gβ∗(T−T∞)−μρ∞ku, (3)

ρ∞cp(u∂T∂x+v∂T∂y)=∂∂y(κ∂T∂y)−∂qr∂y+Q(T−T∞), (4)

where u and v are the velocity components along x and y directions, respectively. g denotes the gravitational acceleration, ρ∞ is the fluid density away from the sheet, k is the permeability of the porous medium, T is the temperature of the fluid, β∗ is the coefficient of thermal expansion and cp is the specific heat at constant pressure. Likewise, qr is then given by [40]:

qr=−4σ∗3k∗∂T4∂y, (5)

with the band of physical model and application of simplification for T4 about T0 , the expression for T4 becomes [41]:

T4≅4T03T−3T04, (6)

where T0 is the reference temperature. It is required to supply the relevant boundary conditions in order to complete the formulation of the suggested problem. As a result, the current problem’s boundary conditions are as follows:

u=Uw=ax,v=0,T=Tw=T0+b1x,y=0, (7)

u→0,T→T∞=T0+b2x,y→∞, (8)

in which T1 and b2 are positive dimensional constants and T∞ is the ambient temperature. The following non-dimensional variables are now used to simplify the governing equations for the suggested physical problem:

ψ=aν∞xf(η),η=aν∞y (9)

θ=T−T∞Tw−T0 (10)

For mathematical convenience, viscosity of the fluid μ can be represented as μ=μ∞e−γθ [42] which is a nonlinear function of dimensionless temperature θ alone, whereas the fluid thermal conductivity κ can be taken as κ=κ∞(1+εθ) [42] which is a linear function of θ alone, where μ∞ is the dynamic viscosity away from the sheet, γ is the non-dimensional viscosity parameter, κ∞ is the fluid conductivity at the free surface and ε is the fluid thermal conductivity parameter.

The following rigorous transformation for both the flow and heat transfer fields (3) and (4) could be obtained by using Eqs. (9) and (10) along with the boundary conditions (7) and (8) as follows:

f′′′(e−γθ+α(1−δf′′2))−γf′′θ′e−γθ−f′2+ff′′+λθ−Δf′e−γθ=0 (11)

1Pr((1+R+εθ)θ″+εθ′2)+fθ′−f′θ−e1f′+Γθ=0 (12)

f(0)=0,f′(0)=1,θ(0)=1−e1, (13)

f′→0,θ→0,η→∞ (14)

where α=1μ∞βC and δ=aρ∞Uw22μ∞C2 are the dimensionless Powell-Eyring fluid parameters, Δ=ν∞ak is the porous parameter, λ=gβ∗b1a2 is the mixed convection parameter, R=16σ∗T033κ∞k∗ is the radiation parameter, e1=b2b1 is the thermal stratification parameter, Γ=Qρ∞cpa is the heat generation/absorption parameter and Pr=μ∞cpκ∞ is the Prandtl number. Here, it is very necessary to mention that our physical model is furnished previously by Bilal et al. [43]. In other words, when Δ=γ=R=ε=0 , our present model can be reduced to the previously base model of Bilal et al. [43].

Apart from the preceding system that governs our physical problem and allows us to quickly recognize flow features and heat transfer mechanisms, it is very serious to study the following significant physical quantities, the local skin-friction coefficient ( Cfx ) and the local Nusselt number ( Nux ) which take the following form:

CfxRe12=−[(e−γ+α)f′′(0)−αδ3f′′3(0)],NuxRe−121+R=−θ′(0) (15)

where Re=Uwxν∞ is the local Reynolds number.

3  Results and Discussion

To validate the reliability and precision of the numerical process utilized here via the Chebyshev spectral method, calculations for the values of the skin-friction coefficient are done below. The data obtained is compared to Bilal and Ashbar’s previously published findings [43]. From our observations of the tabular data in Table 1, we have found that our results are in good accord.

The preceding considerations and assumptions lead to the current results and discussion section. As a result, while describing the physical problem of hydrodynamics, a system of ordinary differential equations with novel governing parameters emerges, giving us the opportunity to choose which of them is required to develop the suggested model. The Chebyshev spectral approach [44] is appealing because it achieves more precision than other numerical methods for solving the system that regulates our situation. It is also worth noting that all of the results produced utilizing the Chebyshev spectral approach, as well as other associated published results, are mutually supportive. The results of the fully developed velocity and temperature profiles for governing parameter runs in the laminar flow region are plotted in Figs. 3–11. Fig. 3 depicts the numerical result of the present analysis, which offers a close examination of the impact of the porous parameter Δ on the non-Newtonian fluid flow and heat transfer characteristics. A startling result shown in Fig. 3a is that the presence of a porous media in a fluid flow causes a significant resistance force that slows the fluid velocity. As a result, the induced warming heat inside the fluid layers is caused by this resistive force. As shown in Fig. 3b, the porosity parameter can be used as a warming factor for the fluid within the thermal boundary layer.

Figure 3: (a) f′(η) for assorted values of Δ (b) θ(η) for assorted values of Δ

Figure 4: (a) f′(η) for assorted values of α (b) θ(η) for assorted values of α

Figure 5: (a) f′(η) for assorted values of δ (b) θ(η) for assorted values of δ

Figure 6: (a) f′(η) for assorted values of γ (b) θ(η) for assorted values of γ

Figure 7: (a) f′(η) for assorted values of λ (b) θ(η) for assorted values of λ

Figure 8: (a) f′(η) for assorted values of R (b) θ(η) for assorted values of R

Figure 9: (a) f′(η) for assorted values of ε (b) θ(η) for assorted values of ε

Figure 10: (a) f′(η) for assorted values of Γ (b) θ(η) for assorted values of Γ

Figure 11: (a) f′(η) for assorted values of e1 (b) θ(η) for assorted values of e1

Figs. 4a and 4b show how the velocity and temperature fields vary as the α value increases. The velocity field and the thickness of the boundary layer are increased as the α value increases in these pictures, whereas the temperature field decreases.

The velocity and temperature profiles in Figs. 5a and 5b indicate the impact of the dimensionless Powell-Eyring parameter δ on the flow and heat transfer mechanism. The existence of the δ parameter imposes an additional viscous force on the fluid layers, resulting in a decrease in velocity distribution across the boundary layer and a modest improvement in the temperature field mechanism.

The curves in Figs. 6a and 6b show that for low viscosity parameter γ the velocity distribution was slightly increased only near the sheet surface, whereas near the ambient, there was no effect of altering in viscosity on the velocity distribution. Similarly, changing the viscosity parameter causes a backflow for heat distribution, which was clearly established as shown in Fig. 6b.

Regarding the mixed convection parameter λ and its influence on both the velocity and temperature distribution, there are curves on Figs. 7a and 7b. It can be seen from these figures that the high distribution of the velocity can be achieved with great mixed convection parameters, while we reach the reverse for the distribution of the temperature.

Figs. 8a and 8b show the effect of the radiation parameter R as defined previously on both the velocity and the temperature fields. It is clear that the temperature field is strikingly affected by the radiation mechanism due to the increased importance of the thermal radiation mechanism in faster heat flow. The same trend is observed for the velocity field but with slightly different behavior.

Further, a typical steady flow and heat transfer pattern for different values of the thermal conductivity parameter ε are shown in Figs. 9a and 9b. Thus, the influence of the thermal conductivity parameter ε might be strong enough to cause more velocity fluid flow and more heat distribution, resulting in a thicker thermal boundary layer.

Figs. 10a and 10b show the variations in velocity f′(η) and temperature θ(η) as a function of the space coordinate η for various values of the heat generation parameter Γ . For relatively high temperature distribution, the primary mechanism for this mission was the great heat generation parameter Γ . In general, the heat generation parameter Γ has a small effect on the velocity field in comparison with the results given for the heating field.

In order to illustrate the effect of the thermal stratification parameter e1 on the velocity field clearly, the curves in Fig. 11a are drawn on an expanded scale. During the fluid flow, the flow process was discovered to be essentially laminar, with a slight retarding effect on the velocity distribution as the thermal stratification parameter e1 increased. One qualitative observation of some importance is the influence of the same parameter, e1 on the temperature field as obtained from Fig. 11b. A very interesting feature of the stratification parameter e1 is that it can achieve and govern the cooling process for the sheet surface.

Now, both the physical quantities Cfx and Nux according to Eq. (15), which describes the drag force and the heat transfer at the sheet surface; respectively, are shown in Table 2 for different values of governing parameters α,δ,ε,γ,R,Δ,e1 and λ with Pr=1.5 . The increase in local Nusselt number due to large dimensionless Powell-Eyring parameter α and the mixed convection parameter λ can be attributed to the increase in heat capacity or decrease in resistance to heat flow. It is seen from this table that an increase in the parameters δ,γ,λ,R,ε and Δ decreases the local skin-friction coefficient while the reverse trend is observed for parameters δ , α and e1 . On the other hand, the porous parameter δ , the variable viscosity parameter γ and the radiation parameter R can have a significant influence on the rate of heat transfer as clearly noticed from Table 2.

4  Conclusions

The current investigation’s overall goal is to determine the velocity distribution, temperature distribution, heat transfer rate, and drag properties of Powell-Eyring fluid flow in the boundary layer region. The material presented in this research is limited to the measurement of the flow and heat transfer of the Powell-Eyring fluid with mixed convection and heat generation and the determination of their effect on the cooling mechanism through a porous medium. This data would contribute considerably to the understanding of the mixed-convection heat transfer phenomena. Numerically, a solution to the present physical problem using the Chebyshev spectral method was introduced. The main findings of our study are summarized as follows:

1.    It is even possible that with large values of the first Powell-Eyring parameter and smaller values of the porous parameter, the boundary layer thickness will be totally increased.

2.    Another interesting situation is that in which both the porous parameter and the thermal conductivity parameter increase significantly, the temperature distribution may be regarded as being enhanced uniformly.

3.    Thermal radiation and heat generation have another important effect insofar as they can establish a thicker thermal layer with the thermal stratification phenomenon.

4.    It is interesting to note that the thickness of the fluid layer depends very little on the second Powell-Eyring parameter, the thermal conductivity parameter, and the thermal stratification parameter.

5.    A strong relationship between the cooling mechanism and both of the thermal stratification parameters and the radiation parameter is found.

Acknowledgement: The authors wish to express their sincere thanks to the editor and referees for their valuable time spent reading this paper and for their valuable comments and suggestions, which improved the quality of this paper.

Funding Statement: The authors received no specific funding for this study.

Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.

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