Stability Analysis of Darcy-Forchheimer Flow of Casson Type Nanofluid Over an Exponential Sheet : Investigation of Critical Points

In this paper, steady two-dimensional laminar incompressible magnetohydrodynamic flow over an exponentially shrinking sheet with the effects of slip conditions and viscous dissipation is examined. An extended Darcy Forchheimer model was considered to observe the porous medium embedded in a non-Newtonian-Casson-type nanofluid. The governing equations were converted into nonlinear ordinary differential equations using an exponential similarity transformation. The resultant equations for the boundary values problem (BVPs) were reduced to initial values problems (IVPs) and then shooting and Fourth Order Runge-Kutta method (RK-4th method) were applied to obtain numerical solutions. The results reveal that multiple solutions occur only for the high suction case. The results of the stability analysis showed that the first (second) solution is physically reliable (unreliable) and stable (unstable).


Introduction
Many environmental and industrial systems, including geothermal energy system, catalytic reactors, fibrous insulation, heat exchanger designs, and geophysics, involve the convective flow of through porous surfaces.The classical Darcian model extended into the non-Darcian porous medium model includes tortuosity inertial drag, vorticity diffusion effects, as well as combinations of both effects [1].The Darcy-Forchheimer (DF) model is the extension or modification of Darcian flow, which is used similarly to inertia effects.To determine the inertia effect, the velocity square term in the momentum equation must be added, and the resultant term is known as a Forchheimer's extension.
Flow over a porous surface is encountered in several applications, such as nuclear and gas waste storage, hydrocarbon recovery, hydrology, soil physics, transfer in living tissues, transfer in food products, soil mechanics, drying of the wood, and many others.Flow phenomena in the porous surfaces are complex given the interaction between the fluid and the packing particles, fluid and the column wall, and the particles and column wall.Muskat [2] called this interaction a Forchheimer factor.Some of the studies involving the Darcy-Forchheimer flow have been published [3][4][5][6][7].Hayat et Symmetry 2019, 11, 412 2 of 17 al.[8] considered Darcy-Forchheimer flow over a curve stretching surface and found that the porosity parameter produced high temperatures.Seth and Mandal [9] studied the Casson fluid in the presence of Darcy-Forchheimer, and observed the effect of the Casson and rotation parameter on the primary velocity.The behavior of primary velocity is reverse to the secondary velocity and close to that of the stretching surface.Ganesh et al. [10] considered a hydro-magnetic nanofluid under Darcy-Forchheimer flow on stretching and shrinking surfaces.
The investigation of the magnetic field impacts has many applications in the engineering, chemistry, and physics sectors.Industrial instruments, like bearings and pumps, boundary layer control, and magnetohydrodynamic generators are mostly affected due to interactions between a magnetic field and an electrically conducting fluid [10][11][12].Viscous dissipation is usually an ignorable effect, but that contribution can be significant at very high fluid viscosity.The energy source usually changes temperature distributions, which affects the rates of heat transfer.Hsiao [13] investigated magnetohydrodynamic (MHD) flow and the effect of thermal radiation and viscous dissipation.Sheikholeslami et al. [14] examined MHD nanofluid flow as well as heat transfer in the presence of viscous dissipation.
Various researchers considered viscous dissipation effects in their studies [15][16][17][18].Due to the importance of viscous dissipation, we also considered its effect in our considered model.At a microscopic level, in the boundary conditions, no-slip conditions are important when the flowing fluid layer adjacent to the solid boundary reaches the velocity of the solid boundary.Yet, no-slip conditions are not based on physical principles [19].No-slip conditions occur in many macroscopic flows that have been proven experimentally.Nearly two centuries ago, Navier presented the general boundary conditions that cover the situation of slippery boundaries, where the velocity of the fluid is proportional to the shear stress on the surface [20].In general, velocity slip occurs when the velocity of the fluid flow and the surface are different, indicating that different slip conditions exist when velocity, temperature, and concentration in the fluid and surface are different from each other.Hence, slip boundary conditions are of great importance due to their applications in the various fields of science and the technology, such as in microchannels or nanochannels as well as in applications where the surface is coated by a thick monolayer of hydrophobic octadecyl trichlorosilane, or when oil-moving plates are considered [19].Wall slip occurs in working fluids with concentrated suspensions [21].Non-Newtonian fluids, such as polymer melts, usually show wall slip.Many researchers studied different slip effects on fluid flow [22][23][24][25][26][27].Motivated from the above-mentioned investigations, in this work, we focused on the velocity, thermal, and concentration slip effects on Casson fluid flow with Extended-Darcy-Forchheimer porous medium and viscous dissipation.
Unlike the flow over a stretching sheet, which received the attention of numerous researchers since it was first presented by Crane [28], the flow on the shrinking surface was viewed almost 50 years ago, in 1970, when Miklavčič and Wang [29] considered viscous flow on a shrinking sheet for the first time.Since flow is probably not going to occur on a shrinking surface, they added sufficient suction at a boundary to create vorticity in the boundary layer.Many researchers have considered a shrinking surface, including Naveed et al. [30], Jusoh et al. [31], Othman et al. [32], Khan and Hafeez [33], Naganthran et al. [34], and Qing et al. [35].Rahman et al. [36,37] investigated Buongiorno's model on exponentially shrinking surfaces and found dual solutions.Some other interesting studies are given in [38][39][40][41][42][43][44].In this study, we extend the work of Rahman et al. [36,37] to a permeable shrinking surface embedded in an Extended-Darcy-Forchheimer porous medium in the presence of viscous dissipation and velocity, and thermal and concentration slip effects over a shrinking surface, where the occurrence of dual solutions is possible.To produce a stable and physically reliable solution, we performed a stability analysis.Notably, shrinking sheet flow is basically a backward flow [38] that defines physical phenomena relatively differently from a stretching sheet.

Mathematical Description of the Problem
We considered the steady incompressible two-dimensional flow of a Casson electrically conductive nanofluid over an exponentially shrinking surface in Extended Darcy Forchheimer porous medium along with the effects of viscous dissipations and slip conditions, as shown in Figure 1.According to Nakamura and Sawada [39], the rheological equation of the state for isotropic and incompressible flow of a Casson fluid are: where µ B denotes the plastic dynamic viscosity, P y denotes the yield stress of the fluid, π denotes the product of deformation rate component, where π = e ij .e ij is the (i, j)th deformation rate component and π c is a critical value of π, which is based on the non-Newtonian model.A Cartesian coordinate system is considered, where the x-axis is assumed along with a shrinking sheet and the y-axis is perpendicular to it.The uniform magnetic field of strength B 0 was applied normal to a shrinking sheet.The induced magnetic field was ignored due to the small value of the magnetic Reynolds number.According to these conditions, the governing equations for steady Casson nanofluid flow can be written as: Symmetry 2019, 11, x FOR PEER REVIEW 3 of 17 porous medium along with the effects of viscous dissipations and slip conditions, as shown in Figure 1.According to Nakamura and Sawada [39], the rheological equation of the state for isotropic and incompressible flow of a Casson fluid are: where  denotes the plastic dynamic viscosity,  denotes the yield stress of the fluid,  denotes the product of deformation rate component, where π =  . is the (i, j)th deformation rate component and  is a critical value of , which is based on the non-Newtonian model.A Cartesian coordinate system is considered, where the x-axis is assumed along with a shrinking sheet and the y-axis is perpendicular to it.The uniform magnetic field of strength  was applied normal to a shrinking sheet.The induced magnetic field was ignored due to the small value of the magnetic Reynolds number.According to these conditions, the governing equations for steady Casson nanofluid flow can be written as: The associated boundary conditions related to Equations (2)-( 5) are: where u and v represent velocity components in the xand the y-directions, respectively; To obtain the similarity solutions, the following similarity transformations are used: The stream function ψ is written as a velocity component as: The permeability of porous medium is taken as K = 2K 0 e −x l .Note, the similarity transformation is mostly used to reduce the number of variables; the resultant equations are reduced to simple form.The similarity transformation is used to obtain the similarity solution.From a physical point of view, the meaning of similarity solutions is that "the velocity, temperature, and concentration profiles of the flow remain geometrically similar in each transversal section of the surface".By applying Equations ( 7) and ( 8) into Equations ( 2)-( 6), the continuity equation is satisfied and momentum, energy, and the concentration equations can be expressed as: along the boundary conditions where M (range 0 to 0.5), K 1 (0-0.2),F S (range 0.05-1.15),Pr, (0.7-2.5), N b , (0.05-0.5),N t , (0-0.5),Ec, (0-0.7) and Sc (0-1) denote the Hartmann number, permeability parameter, Forchheimer parameter, Prandtl number, Brownian motion parameter, thermophoresis parameter, Eckert number, and Schmidt number, respectively; δ (range 0-0.5), δ T (0-0.5), and δ C (0-0.5) are the velocity, thermal, and concentration slip parameters, respectively.The dimensionless quantities are defined as: Symmetry 2019, 11, 412 5 of 17 Physical quantities of interest include coefficient of skin friction, the local Nusselt number, and local Sherwood number, which are given by:

Linear Stability Analysis
Recently, many authors [39][40][41] investigated multiple solutions for different types of fluids under various fluid flow conditions.From an experimental point of view, it is worth investigating if the solutions are physically reliable.Therefore, linear stability is required to check the reliability of the solutions.To perform stability analysis, the governing boundary layer in Equations ( 3)-( 5) were reduced to the following unsteady form, as suggested by Merkin [43] and Yasin et al. [38]: where t denotes the time.A new similarity transformation is introduced: Using Equation (18), Equations ( 15)-( 17) can be written as: along with new boundary conditions: To check the stability of the steady flow solutions, where f (η) = f 0 (η), θ(η) = θ 0 (η) and satisfy the boundary value problem in Equations ( 9)-( 12), we write: where F(η), G(η), and H(η) are small relative values of f 0 (η), θ 0 (η), and ∅ 0 (η) respectively; and ε is the unknown eigenvalues.When we solve the eigenvalue problem in Equations ( 19)-( 22), we have an infinite set of eigenvalues.From that set, we chose the smallest eigenvalue.If the smallest eigenvalue (ε) is negative, the flow is unstable and the disturbances grow, which is physically not possible.If the smallest eigenvalue is positive, it suggests that the solution is stable and physically reliable.Applying the relations in Equation (23) into Equations ( 19)-( 22), the following equations are obtained: 1 subject to boundary condition: According to Haris et al. [41], to determine the stability of Equations ( 24)-( 27), we need to relax one boundary condition on F 0 (η), G 0 (η), and H 0 (η).We relaxed F 0 (η) → 0 as η → ∞ into F 0 (0) = 1 in this problem.We fixed the all parameters to:

Result and Discussion
With the help of the shooting method, the transformed ordinary differential equations (BVPs) in Equations ( 9)- (11) along with the boundary conditions in Equation (12) were converted to initial value problems (IVPs).Equations of IVPs were solved via the Runge Kutta (RK) method.Another method, the three-stage Lobatto IIIa formula, was developed in bvp4c with the help of finite difference code.Later, stability analysis was conducted using the bvp4c solver function.According to Rehman et al. [36], "this collocation formula and the collocation polynomial provides a C 1 continuous solution that is fourth-order accurate uniformly in [a,b].Mesh selection and error control are based on the residual of the continuous solution".The impacts of various physical parameters, such as Forchheimer parameter, thermal slip parameter, Casson parameter, magnetic parameter, permeability parameter, Prandtl number, Brownian motion, and thermophoresis parameter, on the flow and heat transfer characteristics were explored.Figure 1 shows the physical model of the problem.
Figure 2 illustrates the existence of multiple solutions for the variation of suction parameter S for three different values of the Forchheimmer parameter F S .For all three values of the Forchheimmer parameter F S = 0.2, 0.7, 1.15, there were critical points S ci , i = 1, 2, 3, where multiple solutions exist.From a mathematical point of view, we know that the second solution cannot be produced experimentally, but the second solution is a part of the solution to the system of differential equations and therefore should be considered.Overall, we focused on the investigation of the occurrence of multiple solutions for the considered problem.From this profile, we concluded that there are only dual solutions if suction parameter S satisfies this relation S ≥ S ci , i = 1, 2, 3.For the case of the first solution, the skin friction coefficient decreases strictly monotonically as the Forchheimer parameter F S increases.However, the opposite trend was observed for the second solution.Figure 3 depicts the occurrence of multiple solutions against the values of suction parameter S for two values of thermal slip parameter δ T on heat transfer rate −θ (0).Multiple solutions exist for the variation in the thermal slip parameter δ T = 0.1, 0.5 only when the suction parameter S ≥ S c1 = 2.19377 and S ≥ S c2 = 2.19358.The heat transfer coefficient declines gradually for the variation in the thermal slip parameter δ T against the values of suction parameter S. The occurrence of multiple solutions for the values of mass slip parameter δ C against suction parameter can be seen in the concentration profile in Figure 4. From this profile, the critical point where multiple solutions exist is the same for the two different values of mass slip parameter δ C .The influence of Casson parameter β on velocity profile f (η) for the variation in different physical parameters is shown in Figure 5. From this profile, the velocity profile and its thickness of boundary layer increase with increasing values of the Casson parameter for the first solution.However, the momentum boundary layer decreases for 0 ≤ η < 3, due to the increase in a β plastic dynamic, and the viscosity increased, causing resistance to the fluid motion.The opposite behavior was observed for the second solution.The effect of the magnetic parameter  on velocity profile is shown in Figure 6.The thickness of the boundary layer and the velocity of the nanofluid flow are enhanced for the first solution and reduced for the second solution by increasing the strength of the magnetic parameter.Physically, the thickness of boundary layer decreases by increasing the values of the magnetic parameter for the second solution because the fluid particle motion diffuses quickly into the neighboring fluid layers as the values of  increase.Figures 7-9 depict the effect of permeability parameter  , velocity slip parameter, and Forchheimmer parameter  on the velocity profile for fixed values of various physical parameters.These profiles show that the hydrodynamic boundary layer increases in the first solution and decreases in the second solution by increasing the strength of the porosity.However the opposite trend was observed by increasing the Forchheimmer parameter  .With increasing the velocity slip parameter δ, the velocity profile for both cases (first and second solutions) increases   The effect of the magnetic parameter  on velocity profile is shown in Figure 6.The thickness of the boundary layer and the velocity of the nanofluid flow are enhanced for the first solution and reduced for the second solution by increasing the strength of the magnetic parameter.Physically, the thickness of boundary layer decreases by increasing the values of the magnetic parameter for the second solution because the fluid particle motion diffuses quickly into the neighboring fluid layers as the values of  increase.Figures 7-9 depict the effect of permeability parameter  , velocity slip parameter, and Forchheimmer parameter  on the velocity profile for fixed values of various physical parameters.These profiles show that the hydrodynamic boundary layer increases in the first solution and decreases in the second solution by increasing the strength of the porosity.However the opposite trend was observed by increasing the Forchheimmer parameter  .With increasing the velocity slip parameter δ, the velocity profile for both cases (first and second solutions) increases The effect of the magnetic parameter M on velocity profile is shown in Figure 6.The thickness of the boundary layer and the velocity of the nanofluid flow are enhanced for the first solution and reduced for the second solution by increasing the strength of the magnetic parameter.Physically, the thickness of boundary layer decreases by increasing the values of the magnetic parameter for the second solution because the fluid particle motion diffuses quickly into the neighboring fluid layers as the values of M increase.Figures 7-9 depict the effect of permeability parameter K 1 , velocity slip parameter, and Forchheimmer parameter F S on the velocity profile for fixed values of various physical parameters.These profiles show that the hydrodynamic boundary layer increases in the first solution and decreases in the second solution by increasing the strength of the porosity.However the opposite trend was observed by increasing the Forchheimmer parameter F S .With increasing the velocity slip parameter δ, the velocity profile for both cases (first and second solutions) increases gradually.Figure 10 depicts the effects of the Casson parameter on temperature profile.The temperature and boundary layer thickness of the nanofluid flow decrease for the first solution and increase for the second solution.We concluded that, according to the physical point of view, due to an increase in elasticity, stress parameter thickening of the thermal boundary layer occurred.The Prandtl number Pr effects on the temperature profile are exhibited in Figure 11.The temperature of the Casson nanofluid decreases with increasing Pr and the thermal boundary layer thickness decreases.The Prandtl number can be defined as "the ratio of momentum diffusivity to thermal diffusivity", which means a Casson nanofluid with a higher Prandtl number decreases thermal conductivity, which causes the reduction in the thermal boundary layer thickness.
Symmetry 2019, 11, x FOR PEER REVIEW 9 of 17 gradually.Figure 10 depicts the effects of the Casson parameter on temperature profile.The temperature and boundary layer thickness of the nanofluid flow decrease for the first solution and increase for the second solution.We concluded that, according to the physical point of view, due to an increase in elasticity, stress parameter thickening of the thermal boundary layer occurred.The Prandtl number  effects on the temperature profile are exhibited in Figure 11.The temperature of the Casson nanofluid decreases with increasing  and the thermal boundary layer thickness decreases.The Prandtl number can be defined as "the ratio of momentum diffusivity to thermal diffusivity", which means a Casson nanofluid with a higher Prandtl number decreases thermal conductivity, which causes the reduction in the thermal boundary layer thickness.Symmetry 2019, 11, x FOR PEER REVIEW 9 of 17 gradually.Figure 10 depicts the effects of the Casson parameter on temperature profile.The temperature and boundary layer thickness of the nanofluid flow decrease for the first solution and increase for the second solution.We concluded that, according to the physical point of view, due to an increase in elasticity, stress parameter thickening of the thermal boundary layer occurred.The Prandtl number  effects on the temperature profile are exhibited in Figure 11.The temperature of the Casson nanofluid decreases with increasing  and the thermal boundary layer thickness decreases.The Prandtl number can be defined as "the ratio of momentum diffusivity to thermal diffusivity", which means a Casson nanofluid with a higher Prandtl number decreases thermal conductivity, which causes the reduction in the thermal boundary layer thickness.Due to the increase in the thermophoresis parameter, the temperature profile and the thermal boundary layer of the nanofluid for the first and second solutions increase gradually (Figure 12).With the increase in thermophoresis parameter  thermophoresis force increased, which helped nanoparticles to travel from hot to cold areas.Subsequently, the temperature of the nanofluid increased.Figure 13 shows the effects of the Brownian motion parameter  on the temperature profile.This profile shows that temperature increased due to the increase in the Brownian motion parameter; therefore, thermal boundary layer thickness increased.Temperature profile increases as Eckert number increases; therefore, the thermal boundary layer increases gradually because an  Due to the increase in the thermophoresis parameter, the temperature profile and the thermal boundary layer of the nanofluid for the first and second solutions increase gradually (Figure 12).With the increase in thermophoresis parameter  thermophoresis force increased, which helped nanoparticles to travel from hot to cold areas.Subsequently, the temperature of the nanofluid increased.Figure 13 shows the effects of the Brownian motion parameter  on the temperature profile.This profile shows that temperature increased due to the increase in the Brownian motion parameter; therefore, thermal boundary layer thickness increased.Temperature profile increases as Eckert number increases; therefore, the thermal boundary layer increases gradually because an Due to the increase in the thermophoresis parameter, the temperature profile and the thermal boundary layer of the nanofluid for the first and second solutions increase gradually (Figure 12).With the increase in thermophoresis parameter N t thermophoresis force increased, which helped nanoparticles to travel from hot to cold areas.Subsequently, the temperature of the nanofluid increased.Figure 13 shows the effects of the Brownian motion parameter N b on the temperature profile.This profile shows that temperature increased due to the increase in the Brownian motion parameter; therefore, thermal boundary layer thickness increased.Temperature profile increases as Eckert number increases; therefore, the thermal boundary layer increases gradually because an expansion in dissipation enhances the thermal conductivity of the flow, which upgrades the thermal boundary layers (Figure 14).The impact of thermophoresis parameter N t on the nanoparticle volume fraction ϕ(η) is depicted in Figure 15.The profile of the nanoparticle volume fraction increases with increasing values of the thermophoresis parameter N t .Figure 16 presents the effects of the Brownian motion parameter N b on the nanoparticle volume fraction.This profile shows that the nanoparticle volume boundary layer thickness decreases as N b increases gradually.Figure 17 shows the effects of Schmidt number on concentration profile.Concentration profiles decrease as Sc increases.The comparison of the numerical results of our problem drawn from bvp4c and the shooting method is outlined in Table 1; the results from both methods showed an excellent agreement.The smallest eigenvalue ε for some values of M and δ T are shown in Table 2.These values show that all values of ε are positive for the first solution and negative for the second solution.Therefore, we concluded that the first solution is stable while the second solution is unstable.expansion in dissipation enhances the thermal conductivity of the flow, which upgrades the thermal boundary layers (Figure 14).The impact of thermophoresis parameter  on the nanoparticle volume fraction () is depicted in Figure 15.The profile of the nanoparticle volume fraction increases with increasing values of the thermophoresis parameter  .Figure 16 presents the effects of the Brownian motion parameter  on the nanoparticle volume fraction.This profile shows that the nanoparticle volume boundary layer thickness decreases as  increases gradually.Figure 17 shows the effects of Schmidt number on concentration profile.Concentration profiles decrease as Sc increases.The comparison of the numerical results of our problem drawn from bvp4c and the shooting method is outlined in Table 1; the results from both methods showed an excellent agreement.The smallest eigenvalue  for some values of  and  are shown in Table 2.These values show that all values of  are positive for the first solution and negative for the second solution.Therefore, we concluded that the first solution is stable while the second solution is unstable.expansion in dissipation enhances the thermal conductivity of the flow, which upgrades the thermal boundary layers (Figure 14).The impact of thermophoresis parameter  on the nanoparticle volume fraction () is depicted in Figure 15.The profile of the nanoparticle volume fraction increases with increasing values of the thermophoresis parameter  .Figure 16 presents the effects of the Brownian motion parameter  on the nanoparticle volume fraction.This profile shows that the nanoparticle volume boundary layer thickness decreases as  increases gradually.Figure 17 shows the effects of Schmidt number on concentration profile.Concentration profiles decrease as Sc increases.The comparison of the numerical results of our problem drawn from bvp4c and the shooting method is outlined in Table 1; the results from both methods showed an excellent agreement.The smallest eigenvalue  for some values of  and  are shown in Table 2.These values show that all values of  are positive for the first solution and negative for the second solution.Therefore, we concluded that the first solution is stable while the second solution is unstable.

Conclusions
Two-dimensional MHD flow of a Casson nanofluid over a shrinking surface in an Extended Darcy Forchheimer porous medium with the effects of viscous dissipation, velocity, thermal, and concentration slip were examined numerically in this study.The governing boundary layer equations were converted into ordinary differential equations before solving them using the shooting method with the Runge Kutta method.The numerical results showed the existence of dual solutions.To determine which solutions were stable and unstable, stability analysis was conducted.The values of the smallest eigenvalues indicated that only first solution was stable.We found ranges of dual solutions, solutions that depended on a suction parameter, and no solution.Notably, as the Forchheimmer parameter F S increased, strong mass suction was required to obtain solutions.We found that the velocity profile is indirectly proportional to the velocity slip parameter in the first solution, and that the hydrodynamic boundary layer increases in the first solution and decreases in the second solution by increasing the strength of the porosity.(UUM) for the moral and financial support in conducting this research.

Conflicts of Interest:
The authors declare no conflict of interest.

Figure 1 .
Figure 1.Physical model of flow.

Figure 1 .
Figure 1.Physical model of flow.
ρ, β, ϑ, σ, ϕ, b, K, T, and α are the density of the fluid, Casson fluid parameter, kinematic viscosity, Symmetry 2019, 11, 412 4 of 17 the electrical conductivity of fluid, porosity, the local inertia coefficient, porosity, permeability of the porous medium, fluid temperature, and the thermal diffusivity of the Casson nanofluid, respectively; and B = B 0 e x 2l is the magnetic field by the constant magnetic strength B 0 .τ 1 = (ρc) p (ρc) f is the ratio between the effective heat capacity of the nanoparticle material and the capacity of the fluid; and D T are the coefficients of Brownian diffusion and thermophoretic diffusion, respectively; T w = T ∞ + T 0 e x 2 and C w = C ∞ + C 0 e x 2 are the temperature and concentration of the wall, respectively; where T ∞ and C ∞ are the ambient temperature and concentration, respectively.v w = − ϑa 2l e x 2l S, where S is the suction and blowing parameter, u w = −a e x l is the shrinking velocity of surface, A = A 1 e −x 2l is the velocity slip factor, D = D 1 e −x 2l is the thermal slip factor, and N = N 1 e −x 2l is the concentration slip factor.
1, and δ C = 0.1, and varied the values of M and δ T .

Symmetry 2019 ,
11,  x FOR PEER REVIEW 7 of 17 slip parameter  on heat transfer rate −′(0).Multiple solutions exist for the variation in the thermal slip parameter  = 0.1, 0.5 only when the suction parameter  ≥  = 2.19377 and  ≥  = 2.19358 .The heat transfer coefficient declines gradually for the variation in the thermal slip parameter  against the values of suction parameter .The occurrence of multiple solutions for the values of mass slip parameter  against suction parameter can be seen in the concentration profile in Figure4.From this profile, the critical point where multiple solutions exist is the same for the two different values of mass slip parameter  .The influence of Casson parameter  on velocity profile ′() for the variation in different physical parameters is shown in Figure5.From this profile, the velocity profile and its thickness of boundary layer increase with increasing values of the Casson parameter for the first solution.However, the momentum boundary layer decreases for 0  3, due to the increase in a  plastic dynamic, and the viscosity increased, causing resistance to the fluid motion.The opposite behavior was observed for the second solution.

Figure 2 .
Figure 2. Skin-friction coefficient f″(0) against suction for three values of the Forchheimer parameter FS.

Figure 3 .
Figure 3. Heat transfer rate −′(0) against suction for two values of the thermal slip parameter  .

Figure 2 .
Figure 2. Skin-friction coefficient f"(0) against suction for three values of the Forchheimer parameter F S .

Figure 2 .
Figure 2. Skin-friction coefficient f″(0) against suction for three values of the Forchheimer parameter FS.

Figure 3 .
Figure 3. Heat transfer rate −′(0) against suction for two values of the thermal slip parameter  .Figure 3. Heat transfer rate −θ (0) against suction for two values of the thermal slip parameter δ T .

Figure 3 .
Figure 3. Heat transfer rate −′(0) against suction for two values of the thermal slip parameter  .Figure 3. Heat transfer rate −θ (0) against suction for two values of the thermal slip parameter δ T .

Figure 5 .
Figure 5. Variation of velocity ′() with  for several values of the Casson parameter .

Figure 4 .
Figure 4. −∅ (0) against suction for two values of the mass slip parameter δ C .

Figure 5 .
Figure 5. Variation of velocity ′() with  for several values of the Casson parameter .

Figure 5 .
Figure 5. Variation of velocity f (η) with η for several values of the Casson parameter β.

Figure 6 .
Figure 6.Variation of velocity ′() with  for several values of magnetic parameter M.

Figure 7 .
Figure 7. Variation of velocity ′() with  for several values of porosity parameter  .

Figure 6 .
Figure 6.Variation of velocity f (η) with η for several values of magnetic parameter M.

Figure 6 .
Figure 6.Variation of velocity ′() with  for several values of magnetic parameter M.

Figure 7 .
Figure 7. Variation of velocity ′() with  for several values of porosity parameter  .Figure 7. Variation of velocity f (η) with η for several values of porosity parameter K 1 .

Figure 7 .
Figure 7. Variation of velocity ′() with  for several values of porosity parameter  .Figure 7. Variation of velocity f (η) with η for several values of porosity parameter K 1 .

Figure 8 .
Figure 8. Variation of velocity ′() with  for several values of velocity slip parameter δ.

Figure 9 .
Figure 9. Variation of velocity ′() with  for several values of the Forchheimmer parameter  .

Figure 9 .
Figure 9. Variation of velocity ′() with  for several values of the Forchheimmer parameter  .Figure 9. Variation of velocity f (η) with η for several values of the Forchheimmer parameter F S .

Figure 9 .
Figure 9. Variation of velocity ′() with  for several values of the Forchheimmer parameter  .Figure 9. Variation of velocity f (η) with η for several values of the Forchheimmer parameter F S .

Figure 10 .
Figure 10.Variation of temperature () with  for several values of the Casson parameter .

Figure 11 .
Figure 11.Variation of temperature () with  for several values of Prandtl number Pr.

Figure 11 .
Figure 11.Variation of temperature () with  for several values of Prandtl number Pr.

Figure 11 .
Figure 11.Variation of temperature θ(η) with η for several values of Prandtl number Pr.

Figure 12 .
Figure 12.Variation of temperature () with  for several values of thermophoresis parameter  .

Figure 13 .
Figure 13.Variation of temperature () with  for several values of the Brownian motion parameter  .

Figure 12 .
Figure 12.Variation of temperature θ(η) with η for several values of thermophoresis parameter N t .

Figure 12 .
Figure 12.Variation of temperature () with  for several values of thermophoresis parameter  .

Figure 13 .
Figure 13.Variation of temperature () with  for several values of the Brownian motion parameter  .Figure 13.Variation of temperature θ(η) with η for several values of the Brownian motion parameter N b .

Figure 13 .
Figure 13.Variation of temperature () with  for several values of the Brownian motion parameter  .Figure 13.Variation of temperature θ(η) with η for several values of the Brownian motion parameter N b .

Figure 14 .
Figure 14.Variation of temperature () with  for several values of the Eckert number  .

Figure 15 .
Figure 15.Variation of nanoparticle volume fraction () with  for several values of thermophoresis parameter  .

Figure 14 . 17 Figure 14 .
Figure 14.Variation of temperature θ(η) with η for several values of the Eckert number E c .

Figure 15 .
Figure 15.Variation of nanoparticle volume fraction () with  for several values of thermophoresis parameter  .

Figure 15 .
Figure 15.Variation of nanoparticle volume fraction ϕ(η) with η for several values of thermophoresis parameter N t .

Figure 16 .
Figure 16.Variation of concentration () with  for several values of Brownian motion parameter  .

Figure 17 .
Figure 17.Variation of concentration () with  for several values of Schmitt number Sc.

Figure 16 . 17 Figure 16 .
Figure 16.Variation of concentration θ(η) with η for several values of Brownian motion parameter N b .

Figure 17 .
Figure 17.Variation of concentration () with  for several values of Schmitt number Sc.

Table 2 .
Smallest eigenvalues for different values of M and δ T .