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Fluid Dynamics & Materials Processing
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DOI: 10.32604/fdmp.2023.021590

ARTICLE

The Effects of Thermal Radiation and Viscous Dissipation on the Stagnation Point Flow of a Micropolar Fluid over a Permeable Stretching Sheet in the Presence of Porous Dissipation

Muhammad Salman Kausar1, H.A.M. Al-Sharifi2, Abid Hussanan3,* and Mustafa Mamat1

1Faculty of Informatics and Computing, University Sultan Zainal Abidin (Kampus Gong Badak), Kuala Terengganu, Terengganu, Malaysia
2Department of Mathematics, College of Education for Pure Sciences, University of Kerbala, Kerbala, Iraq
3Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan
*Corresponding Author: Abid Hussanan. Email: abid.hussanan@ue.edu.pk
Received: 22 January 2022; Accepted: 07 April 2022

Abstract: In this paper, the effects of thermal radiation and viscous dissipation on the stagnation–point flow of a micropolar fluid over a permeable stretching sheet with suction and injection are analyzed and discussed. A suitable similarity transformation is used to convert the governing nonlinear partial differential equations into a system of nonlinear ordinary differential equations, which are then solved numerically by a fourth–order Runge–Kutta method. It is found that the linear fluid velocity decreases with the enhancement of the porosity, boundary, and suction parameters. Conversely, it increases with the micropolar and injection parameters. The angular velocity grows with the boundary, porosity, and suction parameters, whereas it is reduced if the micropolar and injection parameters become larger. It is concluded that the thermal boundary layer extension increases with the injection parameter and decreases with the suction parameter.

Keywords: Micropolar fluid; viscous dissipation; stagnation point; stretching sheet; porous media; thermal radiation

1  Introduction

Micropolar fluids are solutions based on microstructures. They occur in a non–symmetrical stress tensor class of fluid called polar liquids. The developed classical fluid Navier–Stokes pattern will classify ordinary liquids in this circumstance. Physically, solid fluids have arbitrarily guided particle suspension in a dense medium where fluid particulate deformations can be ignored and can reflect micropolitan fluids themselves. More recently, the study of the movement and heat transmission of micropolar liquids in voids has been of considerable and ever-growing concern, as Newtonian liquids cannot efficaciously explain the suspended particle liquid characteristics. Compared to other fluids, non–Newtonian liquids composed of moronic particles or short, stiff components, fluid suspension, polymer liquids, and more can be defined as micropolar fluids. A micro–rotation trajectory and a revolution function are added to the micropolar liquid pattern with the traditional velocity region to analyze the micro–rotation kinematics.

The non–Newtonian behavior of certain liquids includes colloidal liquids, liquefied quartzes, deformable living organism plasma, iron solutions, clouds of smoke, suspension, liquids with polymer additives, and slurry may also have successfully been identified in theory as micropolar fluids. Eringen [1,2] is worth investigating, as their micropolar fluids model is well–equilibrated. In the first place, the classical Navier Stokes model is well known and broadly generalized, addressing a more significant number of manifestations than the classical one in both theory and application. The fluid and heat transfer flow can be estimated with the necessary boundary conditions employing the mass, momentum, and energy conservation equation. For more complicated industrial applications, a thorough inquiry of liquid motion and heat transference structures is essentially basic geometry, including regarding the buoyancy–driven space, which is an essential prerequisite to assessing efficient products. Many engineering applications, such as ventilation and heating, energy transport, electronic packaging, natural convection of cavities, and cooling in nuclear reactors, are important. Hussanan et al. [3] exhibited certain initiation trials with a micropolar nanofluid model moving above a shrinking/stretching pane with suction/injection parameters. Mishra et al. [4] discussed micropolar fluid flow and heat transfer over a shrinking sheet via the Runge–Kutta scheme, followed by the shooting technique. Bhat et al. [5] performed experiments on the laminar movement of micropolar liquid with a porous and a non–porous disk by applying the Keller–box method. Shehzad et al. [6] examined the micropolar liquid motion with titanium and ferromagnetic alloy due to viscous dissipation and moving over a porous sheet. Ali et al. [7] presented a gravity modulation with a non–Newtonian micropolar fluid under the consequences of thermal radiation, suction/injection, magnetic fields, and mixed convection. Siddiqa et al. [8] contemplated that micropolar fluid of heat transfer and thermal radiation flow is driven by a finite vertical plate. The second-order Gauge Uzawa scheme for the governing equations of an incompressible micropolar fluid flow is introduced by Slayi et al. [9]. Siddiqui et al. [10] investigated heat and mass traansfer flow of micropolar fluid in a rectangular channel with permeable slits. Other prominent works on the micropolar fluid include those by [11–18].

Stagnation point flow is a significant factor; interactions among the liquid motion and rigid constructions have been attributed to the stagnation point’s motion properties. It is essential in current applications to determine the physical parameters’ variance across the flow environment. The maximum heat transfer and high pressure in the stagnation motion, followed by a velocity decrease, occur all over the flow region. Owing to its abundant submission in manufacturing, for example, within wire design, in the prominence of polymer in a melting phase, fibers, and plastic film processing, attention is focused on the heat transport dynamics in a stagnation–point flow of micropolar fluid above a stretch shallow. Academic and experimental researchers are very interested in focus heat transference and fluid movement within the porous medium because of their use in many fields of engineering like surface catalysis of chemical reactions, groundwater movement, nuclear waste disposal, oil and gas production, reliable matrix heat exchanges, geothermal energy extraction, adsorption, regenerative heat exchange, and current padding ventilation of porous objects, etc. Nazar et al. [19] provided a numerical method of the stagnation point movement with micropolar liquid moving over a stretching sheet using the Keller–Box method.

Abbas et al. [20] studied the stagnation point flow of micropolar nanofluid in a porous media. Soomro et al. [21] inspected the numerical solution of stagnation point boundary layer flow towards a stretching surface by using the finite difference method. Their results specified that, due to the growth in Brownian motion and thermophoresis, the Nusselt number declines although the Sherwood number increases. The boundary layer flow with the combined effects of thermal radiation and magnetohydrodynamics (MHD) over a nonlinear stretching surface under the Casson nanofluid and stagnation point region was presented by Besthapu et al. [22]. Khan et al. [23] inspected the two-dimensional boundary layer movement of Carreau and Cattaneo–Christov liquid with stagnation point movement through a stretching/shrinking cylinder. Abbas et al. [24] also discussed the three-dimensional stagnation point motion with hybrid nanofluid associated with slip conditions. Recently, Abbasi et al. [25] reported the numerical solution of the incompressible Maxwell nanofluid through non–orthogonal stagnation point flow moving over a stretching cylinder. Arani et al. [26] analyzed the stagnation point movement with nanoparticles through a porous sheet using the Runge–Kutta Fehlberg method. The microorganisms analysis for Williamson nanofluid flow past a horizontal linearly stretching/shrinking sheet under the stagnation point region and similarity transformations were studied by Muthtamilselvan et al. [27]. Renuka et al. [28] examined unsteady stagnation point flow and the heat transfer of nanofluid towards a flat plate with Brownian diffusion and thermophoresis. Furthermore, stagnation–point flow and heat transfer over stretchable plates and cylinders with an oncoming flow were all examined by Turkyilmazoglu [29]. Some observations on stagnation point flow are recently addressed for numerous hypotheses by [30–38].

The influence of viscous dissipation and thermal radioactivity composes a significant property in the fluid’s temperature distribution, which causes the fluid’s internal friction. Fluid viscosity transforms dynamic energy into updraft energy due to the drive of liquid units. The viscosity property leads to the reversible process, and this phenomenon is known as viscous dissipation. In manufacturing industries such as food manufacturing, cooling nuclear reactors, oil discovery, bioengineering, and others, this impact has substantially greater importance. Moreover, Abd El-Aziz [39] reported the impact of viscous dissipation and mixed convection flow over the heat transfer mechanisms with micropolar fluid. Mixed Convection radiative with viscous dissipation and stagnation point flow past over a porous stretching/shrinking sheet has been described by Pal et al. [40]. Fatunmbi et al. [41] numerically investigated the effects of thermal radiation and viscous dissipation over a permeable stretching plate in a porous medium through the 4th order Runge–Kutta integration procedure. A concise analysis of the literature on the influence of viscous dissipation and thermal radioactivity can be found in several relevant references [42–52]. Most recently, Mishra et al. [53] investigated thermal radioactivity, viscous dissipation, and Joule heating with the nanofluid movement in the occurrence of a porous sheet. Aziz et al. [54] studied the thermal radiation and viscous dissipation with Powell–Eyring hybrid nanofluid through the Keller–Box finite difference method.

Heat transfer flow over a stretching sheet has several engineering applications, such as aerodynamic extrusion of polymer, petroleum processing, efficiency improvement of paints and aeration, chemical particle beds, rubber sheets, glass manufacturing, transpiration cooling, and plastic shaping and paper production. Since the pioneering work on the stretching sheet, several studies have been carried out on the various aspects of heat transfer in different fluid flows. Yusuf et al. [55] studied three-dimensional hybrid–nanofluid flow over a stretching sheet in a porous medium. The frictional heating properties of Casson nanofluid over a stretching sheet with Brinkmann Forcheiemerr porous medium are addressed by Sharanappa et al. [56]. Kausar et al. [57] reported Darcy–Brinkman fluid flow over a stretching sheet using the Runge–Kutta BVP4C scheme with shooting techniques. Irfan et al. [58] extended the pioneering work of porous media and stretching sheets with stream flow and variable fluid characteristics. Goud [59] recently analyzed the influence of heat generation/absorption through a permeable stretching plate with suction/injection.

This current research aims to investigate 2–D thermal radiation and viscous dissipation on stagnation point flow towards a permeable stretching sheet in the presence of porous dissipation. We have tinted the impacts of suction/injection to examine the flow behaviour under the assumption of stagnation point flow over a permeable stretching sheet. We also thought about the influences of the porosity parameter. The micropolar fluid flow has been in steady and laminar flow cases. The dimensionless structure has access to flow by the Runge–Kutta procedure of the 4th order of the numerical scheme. Graphs and tables indicate the spatial dimension parameters used in the flow assumptions. The skin friction and heat transfer rate (Nusselt number) were explored at the surface. Some significant findings may contribute to further innovations in engineering and research regarding these concepts and this specific topic.

2  Mathematical Formulation

The steady force convection stagnation point flow of a micropolar fluid over a non–isothermal stretching sheet is considered. The x− axis is taken along the sheet and the y− axis perpendicular to the sheet, as seen in Fig. 1. Additionally, it is considered that the sheet has temperature Ts(x)=T∞+T0x2 and the fluid has ambient temperature T∞(x) where Ts>T∞ . Under the aforementioned assumptions, the related basic equations and boundary conditions are stated as [13,19]

∂u∂x+∂v∂y=0, (1)

u∂u∂x+v∂u∂y=uedue∂x+(ν+MRρ)∂2u∂y2+MRρ∂N∂y−νϕK∗(u−ue), (2)

u∂N∂x+v∂N∂y=γ∗ρj∂2N∂y2−MRρj(2N+∂u∂y), (3)

u∂T∂x+v∂T∂y=κρCp∂2T∂y2−1ρCp∂qr∂y+μ+MRρCp[u2k1+(∂u∂y)2], (4)

The corresponding boundary conditions are (see, Turkyilmazoglu [60])

u=uw(x)=cx,v=−V0,N=−n∂u∂y,T=Ts(x)=T∞+T0x2 at y=0,u→ue(x)=ax,N→0,T→T∞ as y→∞, (5)

where u and v are the velocity components parallel to the x− axes and y− axes, respectively, ρ is the fluid density, ν is the kinematic viscosity, N is the micro–rotation or angular velocity, K∗ is the permeability of the porous medium, T∞ is the ambient temperature at the temperature at x=0 , Cp is the specific heat, κ is the thermal conductivity of the fluid, qr is the radioactive heat flux, j=(νc) is micro inertia per unit mass, γ∗=(μ2+κ)j and MR are the spin gradient viscosity and vortex viscosity, respectively.

Here MR=0 resembles the situation of viscous fluid, and the boundary parameter n varies in the range 0≤n≤1. In this case n=0 , the condition is that microelements on the sheet of stretch are not capable of rotating and indicate low microelement concentrations on the sheet. The case n=12 is the depletion of the antisymmetric segment of the stress tensor, which indicates the weak microelement concentration, and the case n=1 is for turbulent boundary layer fluctuations (Hussanan et al. [61]).

By the Rosseland approximation, we have qr=−4σ∗3k∗∂T4∂y, where σ∗ is the Stefan Boltzmann constant and k∗ the mean absorption coefficient. Expending Taylor’s series expanding T4 about T∞ one can write as T4=T∞4+4T∞3(T−T∞)+6T∞2(T−T∞)2+.... , after neglecting higher-order terms, we get T4=4T∞3T−3T∞4. Now utilizing qr and T4 results from we obtain the subsequent equation

∂qr∂y=−16σ∗T∞33k∗∂2T∂y2, (6)

and thus Eqs. (4) and (6) leads

u∂T∂x+v∂T∂y=1ρCp∂∂y[(16σ∗T∞33k∗+κ)∂T∂y]+μ+MRρCp[u2K∗+(∂u∂y)2]. (7)

Figure 1: Physical interpretation of stagnation point flow

The following similarity transformations are introduced to resolve the partial differential equations

ξ=(cν)12y,u=cxf′(ξ),v=−(cν)1/2f(ξ),N=cx(cν)12g(ξ),θ=T−T∞Ts−T∞. (8)

Here ξ expressed the independent dimensionless similarity variable. Thus, by substituting variables (8) into Eqs. (2), (3), and (7), we obtain

(1+M)f′′′+ff′′−(f′)2+Mg′−Pm(f′−∈)+∈2=0, (9)

(1+M2)g′′+fg′−f′g−2Mg−Mf′′=0, (10)

θ′′+Preff(fθ′−2f′θ)+Preff Ec(1+M)(Pmf′2+f′′2)=0, (11)

Subject to the boundary conditions, (5) which become

f(0)=S,f′(0)=1,g(0)=−nf′′(0),θ(0)=1,f′(∞)=∈=ac,g(∞)=θ(∞)=0, (12)

In the above equations, the prime signifies the derivative with respect to ξ , ∈ is the ratio of constant a and c , M is the micropolar parameter, Pr is the Prandtl number, Nr is the radiation parameter, Preff is the effective Prandtl number, and Ec is the Eckert number as follows:

M=MRμ,Pr=μcpκ,Nr=16σ∗T∞33κk∗,Preff=Pr1+Nr, Pm=νϕK∗c, S=V0cν.

Note that the effective Prandtl number Preff=Pr1+Nr is the combination of radiation parameter and Prandtl number.

The skin friction coefficients Cfx and local Nusselt number Nux are

Cfx=[(μ+Mp)∂u∂y+MpN]y=0ρuw2,Nux=−x[(16σ∗T∞33k∗+κ)∂T∂y]y=0(Tw−T∞). (13)

In the dimensionless form, the above expression is written as

Rex12Cfx=[1+(1−n)M]f′′(0),NuRex−12=−(1+Nr)θ′(0), (14)

where Rex=ax2ν denotes the local Reynolds number.

3  Solution Methodology

The Runge–Kutta 4th order approach is used to resolve the nonlinear ordinary differential Eqs. (9)–(11) associated boundary conditions (12). The nonlinear ordinary differential equations are in third-order linear velocity, second in angular momentum, and temperature reduced in a simultaneous ordinary equation system. We need two other skipped initial conditions to resolve this scheme by Runge–Kutta 4th order process. But, the values of f′(ξ) , g(ξ) , and θ(ξ) are established when ξ→∞ . These final conditions are applied with the support of the Runge–Kutta 4th order method to achieve uncertain initial conditions ξ→0 . In the 4th order Runge–Kutta technique, the boundary layer value problem is transformed into an initial value problem by obsequious initial values. The estimated boundary values must be compared to the actual boundary values. One must be testing and finding mistakes to get as near as possible to the boundary value. The critical step of this process is to pick the required similarity transformation for the associated boundary conditions. Furthermore, an exact solution to some special cases of the present problem can be obtained by considering Pm=0 and ∈=0 and fellow the similar procedure as used by Turkyilmazoglu [62].

4  Results and Discussion

This article studied two–dimensional force convection micropolar boundary layer stagnation point flow over a stretching sheet embedded in a porous medium viscous dissipation. We evaluate the range of linear momentum parameters, angular momentum, and thermal boundary layers in simulated results, the nonlinear governing Eqs. (9)–(11) associated boundary conditions (12) are solved with the 4th order Runge–Kutta method. The computational approximation has been carried out. The steady flow is obtainable with different parameter values like constant ratio parameter (∈) , micropolar parameter (M) , boundary parameter (n) , Porosity parameter (Pm) , suction/injection parameter (S) , Prandtl number (Pr) , and the Eckert number (Ec) one by one. In contrast, other parameters are kept constant in different graphs. The study’s primary objective is to evaluate the numerical results of linear velocity f′(ξ) , angular velocity g(ξ) , temperature distribution θ(ξ) , skin friction (Cfx) , and Nusselt numbers (Nux) . Furthermore, the numerical results of skin friction are shown and compared with Mahapatra and Gupta [36] and Ishak et al. [37] in Table 1 at various values when considering the micropolar parameter (M=0) . An excellent comparison is seen in the numerical values, and we concluded that the skin friction is increased by enhancing the constant ratio parameter (∈) values. Tables 2 and 3 provide the coefficient of skin friction when we assumed the boundary parameter (n=0) , and (n=12) respectively at alternative values of constant ratio parameter (∈) in different cases of micropolar parameter values (M = 0, 1, 2) and compared with Nazar et al. [19] numerical results. It can be seen that all the numerical results are matched with the pub data, and it is verified that the coefficient of skin friction is directly proportional to the constant ratio parameter in all cases. Furthermore, skin friction is decreased by enhancing the constant ratio parameter for small values (∈ <1) . However, skin friction increases with increasing larger values of the constant ratio parameter (∈ >1) .

The set of parameters turned out to be the most fascinating as either a function of synchronized distance, physical profiles, and behavior are observed. The linear velocity profiles f′(ξ) are defined in Figs. 2 to 6. In Fig. 2, the linear velocity f′(ξ) is a function ξ of the constant ratio parameter (∈) , where ∈ is a ratio of two constant a and c . The velocity profile is depicted for various values of ∈ when Pm=M=1.0 , Ec=n=S=0.5 , and Pr=1.2 are kept constant. From Fig. 2, it is apparent that, for higher values of the constant ratio parameter (∈>1) , the velocity rises on the stretching sheet, and the boundary layer breadth also increased with rising ∈ , while velocity declines for constant ratio parameter (∈) , when (∈<1) the velocity and boundary layer breadth reduction with the decrease values of ∈ . In Fig. 3, the linear velocity f′(ξ) is plotted for changed values of the micropolar parameter (M) against the parameter ξ , while the other vital parameters are assumed as ∈ =0.2 , Pm=1.0 , Ec=n=S=0.5 , and Pr=1.2 . It is confirmed from the graph the linear velocity of the fluid on the stretching surface is boosted due to rising the values of M . Moreover, the boundary layer exceeds by enhancing the micropolar parameter M at the edge of the streamflow. In calculating the above evidence from Fig. 4, it is fascinating to notice that the graphical results of boundary parameter (n) , the linear velocity f′(ξ) demolished for higher values of n while Ec=S=0.5,Pm=M=1.0,Pr=1.2, and ∈=0.2 are considered a constant. Fig. 5 represents the linear velocity profile for several porosity parameter (Pm) values in the boundary layer when Ec=n=S=1.0,Pr=1.2,∈=0.2 and M=1.0 , respectively. The graph demonstrates that the porosity parameter affects the linear velocity significantly and falls from the 1 to 0 as the distance varies from the stretching sheet; also, the breadth of the boundary layer becomes thinner with rising Pm . Fig. 6 represents the linear velocity profile for multiple values of suction/injection parameter (S) , when n=0.5 , ∈ =0.2 , Pr=1.2 , Pm=M=1.0, and Ec=0.5 are kept as constant. The graph figure shows that the linear velocity f′(ξ) has a definite flow structure for injection (S<0) , and the boundary layer depth is enhanced with rising injection (S<0) parameter values. From Fig. 6, it is exciting to indicate that during injection, the buoyancy disparate flows lead the supplementary flows for all the values of (S<0) while the linear velocity has a contrary trend for the suction (S>0) parameter. The linear velocity rapidly falls for suction (S>0) at the stretching surface, and the boundary layer breadth also declines for the suction parameter.

Figure 2: Influence of constant ratio parameter (∈) on linear velocity f′(ξ)

Figure 3: Influence of micropolar parameter (M) on linear velocity f′(ξ)

Figure 4: Influence of boundary parameter (n) on linear velocity f′(ξ)

Figure 5: Influence of porosity parameter (Pm) on linear velocity f′(ξ)

Figure 6: Influence of suction/injection parameter (S) on linear velocity f′(ξ)

Figs. 7–11 demonstrate the impression of some governing parameters on the angular velocity g(ξ) . The curves of angular velocity g(ξ) for dissimilar values of the constant ratio parameter (∈) are included in Fig. 7. The numerical data is exhibited for the stretching sheet. It can be noted that the angular velocity g(ξ) reduces when the value of the constant ratio parameter (∈) becomes enlarger on the stretching plane.

Figure 7: Influence of constant ratio parameter (∈) on the angular velocity g(ξ)

Figure 8: Influence of micropolar parameter (M) on the angular velocity g(ξ)

Figure 9: Influence of boundary parameter (n) on the angular velocity g(ξ)

Figure 10: Influence of porosity parameter (Pm) on the angular velocity g(ξ)

Figure 11: Influence of suction/injection parameter (S) on the angular velocity g(ξ)

The boundary layer is also reduced by enhancing the values of ∈ . The graphical results show that the angular velocity touches the horizontal axes at ∈ =1 when the other parameters are fixed as S=n=0.5 , Pr=1.2 , Pm=M=1.0, and Ec=0.2 . The influence of a micropolar parameter (M) on the angular velocity g(ξ) for a viscous fluid flow on a stretching surface is depicted in Fig. 8. The microrotation leads to the contrary spin of the micro– features. Since M rises, microrotation velocity decline on the sheet plane. After that, the angular velocity increases in some small interval close to the bottom of the horizontal axis, which means that the micropolar parameter (M) controls the flow and may be engaged in material treatment, all the way to the regulators of the microstructural features and of the micropolar fluid as well as the other essential parameters; each contains fixed values like ∈ =0.2 , Pr=1.2 , Pm=1.0 , and n=S=Ec=0.5 . Further, the micro–rotation velocity distribution g(ξ) is shown in Fig. 9, which depicts the boundary parameter’s impact (n) on angular velocity distributions characteristic. The boundary parameter (n) enhances the angular velocity g(ξ) on the stretching sheet surface when M=Pm=1.0 , S=Ec=0.5 , ∈ =0.2, and Pr=1.2 is taken as constant. The boundary layer width also rises due to the growth of n . The porosity parameter effects (Pm) are significant on the micro–rotation velocity g(ξ) in the boundary layer regimen, while the other effective parameters are fixed n=Ec=S=0.5 , M=1.0, Pr=1.2 as shown in Fig. 10. The microrotation supply nearby the bottom plane cuts, then upsurges and rises throughout the sheet area’s flow arena. So, we assume that the porosity parameter (Pm) is to spin microelements in the micropolar fluid. The relevance of this characteristic is significant in numerous chemical reactor schemes. Fig. 11 characterizes the micro– roration velocity arena for several values of suction/injection parameter (S) , when Ec=n=0.5 , ∈=0.2 , Pr=1.2 , and Pm=M=1.0 are kept stable. The graph figure shows that the angular velocity g(ξ) has a definite flow structure for suction (S>0) , and the boundary layer breadth is developing with the growth of suction (S>0) parameter values. From Fig. 11, it is thrilling to show that through suction, the disparate buoyancy movements lead the supporting flows for all the values of (S>0) while the angular velocity has a contrary trend for injection (S<0) parameter. The angular velocity rapidly falls for injection (S<0) at the stretching surface, and the boundary layer breadth also declines for the injection parameter.

Figs. 12–16 demonstrate the impact of the several governing parameters on stagnation point flow for the dimensionless temperature θ(ξ) . In Fig. 12, the Eckert number (Ec) parameter on the profile of θ(ξ) is plotted; however the following parameters n=M=S=0.5 , Pr=0.7 , Pm=1.0 , and ∈=0.2 are fixed. The Eckert parameter (Ec) is an increasing function of θ(ξ) . The fluid temperature increases for enhancing Eckert number values (Ec) due to some heat energy which roots frictional heating and rising the fluid temperature. The temperature graph θ(ξ) is drawn verses ξ in Fig. 13 for altered values of a micropolar parameter (M) when n=Ec=S=0.5 , ∈ =0.2 , Pr=0.7 , and Pm=1.0 . It is clear from the shape that the thermal boundary layer width enhances with rising the micropolar parameter because the increased values boost the fluid particles’ internal energy on the stretching sheet the stimulus of the porosity parameter (Pm) on the profile of θ(ξ) portrayed in Fig. 14. The porosity parameter (Pm) affects the fluid particles’ internal flux and growing the temperature of the thermal boundary layer, and other parameters are considered as M=n=Ec=S=0.5 , ∈=0.2 , and Pr=0.7 . The interaction of the porous medium with thermal boundary layer fluid constructs frictional heating inside the fluid layers, leading to enhanced thermal transference. Fig. 15 demonstrates the temperature variations with various Prandtl number (Pr) values. It can be verified that the thermal boundary thickness falls by significant amounts of Pr while the other imperative parameters are assumed as M=n=Ec=S=0.5 , ∈=0.2 , and Pm=1.0 . It is owing to the reduction in thermal diffusion, thermal boundaries, and temperature profiles decrease. Fig. 16 portrays the stimulus of the suction/injection parameter (S) on the temperature profile, θ(ξ) and the other parameters are count as M=n=Ec=0.5 , ∈ =0.2 , Pm=1.0 , and Pr=0.7 . It can be observed from Fig. 16 that the temperature of the fluid particles is enhancing for the injection parameter (S) . The fluid particles’ internal energy is rising due to the injection parameter’s influence across the boundary layer of the fluid. In contrast, in the suction parameter (S) , the fluid particles’ internal energy gradually drops with rising the estimates of the suction parameter (S) . Moreover, it is concluded that the thermal boundary layer breadth increases with the injection parameter and decreases with the suction parameter.

Figure 12: Impact of Eckert number (Ec) on temperature θ(ξ)

Figure 13: Impact of micropolar parameter (M) on temperature θ(ξ)

Figure 14: Impact of porosity parameter (Pm) on temperature θ(ξ)

Figure 15: Impact of Prandtl number (Pr) on temperature θ(ξ)

Figure 16: Impact of suction/injection parameter (S) on temperature θ(ξ)

5  Concluding Remarks

Force convection in micropolar and stagnation point flow with thermal radiation and viscous dissipation adjacent to a permeable stretching sheet in porous dissipation is delivered numerically and examined. The core findings are outlined as follows:

•   The flow is intensified, and momentum slop diminishes with mounting values of constant ration parameter (less than unity), boundary parameter, porosity parameter, and suction parameter.

•   The flow is slackened, and momentum slop amplified with growing values of constant ration parameter (more significant than unity), micropolar parameter, and injection parameter.

•   The micro-rotation velocity (angular velocity) is stifled. The boundary slop is amplified with escalating boundary parameter, porosity parameter, suction parameter, and a small interval of the micropolar parameter. Contrariwise, the micro-rotation velocity is minor with intensifying values of the constant ratio parameter, a huge micropolar parameter, injection parameter, and a small interval of porosity parameter.

•   The growing amount of the Eckert number, micropolar parameter, porosity parameter, and injection parameter raises the temperature and improves thermal boundary depth. Conversely, the temperature and boundary layer decline by growing the Prandtl number and suction parameter values.

•   It is significant to notice that the skin friction coefficient rises as the constant ratio parameter is amplified.

Acknowledgement: The third author would like to thank University of Education, Lahore, Pakistan for the financial support.

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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