Fazle Mabood1, Kalidas Das2. 1. School of Information Technology, Fanshawe College London, ON, Canada. 2. Department of Mathematics, Krishnagar Govt. College, Krishnagar, 741101, Nadia, WB, India.
Abstract
This article focused on framing the features of melting heat transfer on magnetohydrodynamic (MHD) Casson fluid flow in a porous medium influenced by thermal radiation. The present model is employed to simulate the viscoelastic behavior of fluid in the porous regime. Firstly, the governing partial differential equations are converted into ordinary differential equations via suitable similarity transformation and then solved the developed nonlinear equations by using Runge-Kutta Fehlberg-45 order method. A detailed analysis of certain parameters on the velocity, temperature, skin friction coefficient, and reduced Nusselt number are illustrated and examined. The results indicate that enlargement in M and Ω decline velocity profile but an opposite trend for temperature. Furthermore, an increment in R and M e results in uphill Nusselt number. The results of the present analysis are compared with the available works in particular situations and more agreement has been observed.
This article focused on framing the features of melting heat transfer on magnetohydrodynamic (MHD) Casson fluid flow in a porous medium influenced by thermal radiation. The present model is employed to simulate the viscoelastic behavior of fluid in the porous regime. Firstly, the governing partial differential equations are converted into ordinary differential equations via suitable similarity transformation and then solved the developed nonlinear equations by using Runge-Kutta Fehlberg-45 order method. A detailed analysis of certain parameters on the velocity, temperature, skin friction coefficient, and reduced Nusselt number are illustrated and examined. The results indicate that enlargement in M and Ω decline velocity profile but an opposite trend for temperature. Furthermore, an increment in R and M e results in uphill Nusselt number. The results of the present analysis are compared with the available works in particular situations and more agreement has been observed.
In view of specified feature of final products depending mainly upon the rate of heat transfer, the flow and heat transfer mechanism through stretching surfaces find many peer-to-peer applications such as manufacturing of fiber-glass, enhancement in efficiency of paints and lubrication, plastic-molding, glass blowing, paper production, crystal growing, aerodynamic extrusion of polymer and rubber sheets and many others. Crane [1] was the pioneer who analyzed beautifully the flow over a linear stretching plate and obtained successfully the analytical solution for the Navier-Stokes equations.Later, heat transfer characteristics of Newtonian and non-Newtonian fluids flow were well addressed by various researchers [2, 3, 4, 5]. Majeed et al. [6] prescribed the effect of suction over a stretching surface for ferromagnetic Non-Newtonian fluid flow. Several industrial manufacturing processes involve non-Newtonian fluids such as paints, lubricants, polymeric suspensions, biological fluids, animal blood, colloidal solutions, and liquid crystals with rigid molecules, which cannot be described by traditional Newtonian fluid behaviors. There are many non-Newtonian fluid models available in open literature [7, 8, 9, 10]. One such model is Casson fluid which has distinctive features. Recently, Mahdy [11] presented the effects of variable wall temperature for mixed Casson nanofluid flow for rotating sphere at stagnation point, Mabood et al. [12] analyzed the impact of radiation on a moving surface for Casson fluid in porous medium, Ibrahim et al. [13] addressed the characteristics of heat transmission on dissipative convective Casson nanofluid with chemical reaction, heat source and slip condition.Magnetohydrodynamic (MHD) is additionally a functioning zone of present day building sciences and includes the communication of magnetic fields and electrically conducting fluids. MHD pipe flows emerge in ionized quickening agents, MHD flow control in atomic reactors, MHD sidestep vitality generators, fluid metal manufacture forms, bubble levitation and so on [14]. Kumar et al. [15] numerically discussed MHD effects for non-Newtonian fluid over a stretching surface in porous regime under the influence of nonlinear radiation, Kumar and co-workers [16, 17] explored various aspects of MHD effects for non-Newtonian fluid such as: Carreau, Williamson, and Micropolar fluids.The problem of melting heat transfer has accomplished significantly by researchers due to its wider range of technological and industrial based applications in preparation of semiconductor substance thawing of frozen grounds and solidification of molten rock flows etc. Bachok et al. [18] investigated the steady flow over moving surface for the study of melting heat transfer, Yacob et al. [19] analyzed micropolar fluid for melting heat transfer on stagnation point over a stretching/shrinking surfaces. Mabood and Das [20] illustrated the effect of second-order slip and melting heat transfer with radiation for MHD nanofluid flow. Mustafa et al. [21] have been presented the effect of melting heat transfer on stagnation point flow of Jeffrey fluid. For the effect of external of the magnetic field, Das and Zheng [22] have further investigated the work of Mustafa et al. [21].Heat transfer determined by thermal radiation has vast application in different technological process, including missiles, nuclear power plant, satellites and space vehicles, gas turbines and the generate thrust device for aircraft engine. Makinde [23] studied vertical porous surface for free convection with radiation. Hayat et al. [24] examined MHD mixed convection of stagnation point flow past a vertical stretching sheet with radiation. Das [25] discussed slip and radiation effects on MHD flow over a flat plate. Hayat et al. [26] discussed the thermal radiation characteristics of Jeffrey fluid, Sandeep et al. [27] examined the effects of magnetic nanoparticles in MHD nanofluid flow, Ramadev et al. [28] have presented variable thickness melting on MHD Carreau fluid. More interesting investigations on heat transfer on natural convection, MHD and porous medium can be seen [29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40].Literature survey reveals that a lot of work has been done by various researchers to examine the characteristics of heat transfer due to melting in the fluid flows. The phenomenon of melting heat transfer is not investigated up to yet on stretching surface with radiation in porous surface. Hence our main objective is to fill such a gap. The effects of transverse magnetic field and melting effect are included in the presence of thermal radiation. Numerical results for flow equations are obtained and discussion is provided for several values of pertinent parameters governing the problem.
Model
We suppose two-dimensional steady flow of a Casson fluid over a horizontal linear stretching sheet in a porous medium of permeability, melting at a steady rate into a constant property as shown in Fig. 1. The fluid is electrically conducting in the presence of a uniform transverse magnetic field. The induced magnetic field is negligible. Consider external flow is and the velocity of the stretching sheet is, where and and c are positive constant andis the coordinate considered along the stretching sheet. We assumed that both and are the melting and free stream temperature of the fluid respectively, where . The rheological equation of the Casson fluid is given by:where plastic dynamic viscosity, and is the component of deformation rate, denotes deformation rate, is a critical value of non-Newtonian model, is the yield stress of fluid. Under these assumptions, the governing equations are [12, 13]:consider the boundary conditions of Eqs. (1), (2), (3), and (4) are the followingand
Fig. 1
Physical model and coordinate system.
Physical model and coordinate system.Here the thermal diffusivity of the fluid, permeability of the medium, velocity components along axes, thermal conductivity, Casson fluid parameter, electrical conductivity of fluid, latent heat of the fluid, kinematic viscosity of the fluid, heat capacity of the solid surface, the density of fluid, radiative heat flux and the specific heat at constant pressure.By the use of Rosseland approximation for radiation, we havewhere Stefan–Boltzmann constant, and the absorption coefficient and . Therefore, Eq. (4) turns to:The similarity variables are [14]:where is the stream function defined in such a way that and which automatically satisfies the continuity Eq. (1). By using this definition, we obtain:substitute Eqs. (9) and (10) into Eqs. (3) and (8), the transformed equations are:The corresponding boundary conditions:where the primes denote differentiation with respect to , non- Newtonian Casson fluid parameter, magnetic parameter, permeability parameter, radiation parameter, stretching parameter, Prandtl number, melting parameter and combination of the Stefan numbers and for the liquid and solid phases, respectively.The physical quantities are the skin friction coefficient and the local Nusselt number are:where surface shear stress, dynamic viscosity of fluid, and surface heat flux.Using Eq. (9), the skin friction coefficient is:and the Nusselt number is:where represent the local Reynolds number.It is interesting to note that when in Eqs. (11) and (12), our model reduces to those reported by Bachok et al. [18].
Methodology
Results obtained by means of Runge-Kutta Fehlberg fourth fifth method are endorsing that the tool is well-matched, efficient, accurate, appropriate and reliable to examine the solutions of nonlinear problems. The method of solution as described in [41] are provided step wise:where y is the fourth-order Runge-Kutta and z is the fifth- order Runge-Kutta. An estimate of the error can be obtained by subtracting the two values obtained. If the error exceeds a specific threshold, the results can be recalculated using a smaller step size. The approach to estimating the new step size is given below:We assume, the criterion convergence is less than , and value for = 8:In Tables 1, 2, and 3, the accuracy of the present method can be verified by comparing with the previous results of Bachok et al. [18] and Yacob et al. [19] for, and where it is observed that there is a good agreement between them. The good agreement is related to the observation that increases in melting parameter decline the skin friction coefficient significantly.
Table 1
Comparison of and for different values of and when and .
Parameters
Yacob et al. [19]
Present results
ε
Me
f″(0)
−θ′(0)
f″(0)
−θ′(0)
0.0
0
1.232588
-0.570465
1.232588
-0.570465
1
1.037003
-0.361961
1.037003
-0.361961
0.5
0
0.713295
-0.692064
0.713295
-0.692064
1
0.599090
-0.438971
0.599090
-0.438971
2.0
0
-1.887307
-0.979271
-1.887307
-0.979271
1
-1.580483
-0.621187
-1.580484
-0.621187
5.0
0
-10.264749
-1.396355
-10.264749
-1.396355
1
-7.195937
-0.886425
-8.5746752
-0.886425
6.0
0
-
-
-13.774813
-1.511165
1
-
-
-11.501531
-0.959514
Table 2
Comparison of for different values of and when and .
ε
Bachok et al. [18]
Present results
Me=0
Me=1
Me=2
Me=3
Me=0
Me=1
Me=2
Me=3
0.0
1.232588
1.037003
0.946851
0.891381
1.232588
1.037003
0.946851
0.891381
0.1
1.146561
0.964252
0.880442
0.828948
1.146561
0.964252
0.880442
0.828948
0.2
1.051130
0.883675
0.806876
0.759752
1.051130
0.883675
0.806876
0.759752
0.5
0.713295
0.599089
0.504333
0.515172
0.713295
0.599089
0.547021
0.515172
1.0
0
0
0
0
0
0
0
0
2.0
−1.887307
−1.580484
−1.442747
−1.359211
−1.887307
−1.580484
−1.442747
−1.359211
3.0
-
-
-
-
-4.2765414
-3.577332
-3.265006
-3.076102
Table 3
Comparison of for different values of and when and .
Parameters
Bachok et al. [18]
Present results
Pr
Me
−θ′(0)
−θ′(0)
1
0
-0.7978846
- 0.7978846
1
−0.5060545
−0.5060545
2
−0.3826383
−0.3826383
3
−0.3119564
−0.3119564
7
0
−2.1110042
−2.1110041
1
−1.3388943
−1.3388943
2
−1.0123657
−1.0123657
3
−0.8253591
−0.8253591
Comparison of and for different values of and when and .Comparison of for different values of and when and .Comparison of for different values of and when and .
Results & discussion
A comprehensive numerical study is conducted for various physical parameters and results are presented in terms of graphs and tables. Numerical computations are carried out for the stretching parameter = 0.5 or 1.5 while magnetic field parameter M, permeability parameter , melting parameter Me, radiation parameter R, non-Newtonian Casson fluid parameter etc. are varied over a range which is listed in the figure legends.Fig. 2 shows the variation of velocity profiles with, M and . It is evident from the plot 2a that the flow rate slows down and reduction in velocity as M increases. This is due to the fact that the Lorentz force has the property to slow down the motion of the conducting fluid in the boundary layer. The similar effect is observed for as shown in Fig. 2b. It is worth mentioning that all of these results occur for = 1.5 but the effect is reverse = 0.5. The influence of non-Newtonian Casson fluid parameter on the velocity is illustrated in Fig. 3. It is noticed that with an increase in decrease the magnitude of fluid velocity and so the hydrodynamic boundary layer thickness reduces for higher values of for = 1.5 but opposite effect occurs for = 0.5. One may note that when increases indefinitely, the present phenomena obviously reduce to a Newtonian fluid. Similar results are observed for Prandtl number Pr as depicted in the Fig. 3b. The effect of magnetic parameter M and permeability parameter on the velocity profile of a Casson fluid is accessible in Fig. 4 for lower and higher values of. It is clear from this plot that with increasing values of M and the boundary layer thickness decreases. Further, it is worth noticing from the figure that the effect is prominent for lower values of non-Newtonian Casson fluid parameter . As an output of these figures, it is understandable that the velocity profile satisfies the asymptotic boundary conditions which support the numerical results obtained.
Fig. 2
(a) Effects of and (b) Effects of, on the dimensionless velocity.
Fig. 3
(a) Effects of and (b) Effects of, on the dimensionless velocity.
Fig. 4
(a) Effects of and (b) Effects of , on the dimensionless velocity.
(a) Effects of and (b) Effects of, on the dimensionless velocity.(a) Effects of and (b) Effects of, on the dimensionless velocity.(a) Effects of and (b) Effects of , on the dimensionless velocity.Fig. 5a depicts the outcome of the magnetic parameter M on temperature over a radiating horizontal stretching sheet for = 0.5 or 1.5. It is seen that the temperature enhances due to magnetic parameter M and stretching parameter ε. Further, when ε > 0, the fluid temperature increases with ε in presence of the magnetic field, as displayed in the Fig. 5a. In Fig. 5b, the effect of the permeability parameter over dimensionless temperature profiles is shown graphically. It is observed that an increase of increases the temperature slightly within the region η < 0.8 (not precisely determined) but outside this region the effect is not significant. Fig. 6a illustrates the effect of Casson fluid parameter on temperature under the influence of magnetic field. It is peculiar to observe that the thermal boundary layer thickens slightly with the increasing the values of . But the fluid temperature increases significantly with increasing the values of Pr as presented in the Fig. 6b. Prandtl number represents the ratio between momentum and thermal diffusivities. Higher Prandtl number related to inferior thermal diffusivity. Hence a minor quantity of heat is transferred from heated fluid to the melting surface and as a result, the temperature remains higher.
Fig. 5
(a) Effects of and (b) Effects of , on the dimensionless temperature.
Fig. 6
(a) Effects of and (b) Effects of , on the dimensionless temperature.
(a) Effects of and (b) Effects of , on the dimensionless temperature.(a) Effects of and (b) Effects of , on the dimensionless temperature.Effect of thermal radiation parameter R on fluid temperature is examined in Fig. 7a for = 0.5 or 1.5. It is observed that the temperature retards consistently with increasing thermal radiation parameter. The effect of the melting parameter Me can be seen from the variation of the temperature field θ(η) with the similarity independent variable η as expressed in Fig. 7b. The rise in melting parameter Me the temperature decreases for both values of ε. The reason behind this phenomenon is due to the plunges of a cold sheet into warm water, it starts to melt. As the melting progress, the surface slowly transfers to a liquid state causing the velocity to grow faster, where it causes a decrease in the temperature. As a result, stronger melting leans to increase the thickness of the thermal boundary layer. From these plots, one of the general findings is that the higher values corresponding to the higher temperature.
Fig. 7
(a) Effects of and (b) Effects of , on dimensionless temperature.
(a) Effects of and (b) Effects of , on dimensionless temperature.The variation of the skin friction coefficient versus M is displayed in Fig. 8a for different values of non- Newtonian Casson fluid parameter while other parameters are kept fixed. The skin friction coefficient decreases as increases as shown in Fig. 8a. Fig. 8b depicts the variation of skin friction coefficient with respect to M for different values of permeability parameter and = 0.5 or 1.5. From the figure, for any given value of M one may observe that the skin friction coefficient (in the absolute sense) increases with increasing the values of . Further, increasing the values of M causes a rise in the skin friction coefficient at the sheet. The local Nusselt number versus M is plotted in Fig. 9a for different values of the non- Newtonian parameter while other parameters are kept fixed. It is seen that the local Nusselt number is negative for all values of which indicate heat flow from the fluid to the solid surface. Further, it is seen from the figure that the heat transfer rate is higher for large values of . Thus, increasing the non-Newtonian parameter increases the Nusselt number at the solid-fluid interface. The influence of melting parameter Me on the Nusselt number is plotted in Fig. 9b with respect to thermal radiation parameter R for = 0.2 or 1.2.
Fig. 8
(a) Effects of and (b) Effects of , and on skin friction coefficient.
Fig. 9
(a) Effects of and (b) Effects of R, Me and on heat transfer rate.
(a) Effects of and (b) Effects of , and on skin friction coefficient.(a) Effects of and (b) Effects of R, Me and on heat transfer rate.The local Nusselt number is reduces with radiation parameter. Further, it is observed with increasing value of melting parameter the absolute value of the temperature gradient at the surface decreases. In addition, it is worth mentioning that the local Nusselt is elevated for large values of .
Conclusion
The present study gives the numerical solutions for steady boundary layer flow and heat transfer of MHD Casson fluid occurring during the melting process due to a radiating stretching sheet embedded in a porous medium. With the help of similarity transformations, the governing equations are reduced to self-similar non-linear ordinary differential equations which are then solved using Runge–Kutta–Fehlberg method with shooting technique. Main conclusions of the study are as follows:Increasing the magnetic field, permeability parameter and non-Newtonian Casson fluid parameter lead to a deceleration of the fluid velocity which in turn decreases the boundary layer thickness.The fluid temperature and the thermal boundary layer thickness decrease for increasing thermal radiation and melting parameter whereas reverse effect occurs for stretching parameter, permeability parameter, and magnetic field parameter.The skin friction coefficient reduces with an increase in the non-Newtonian parameter whereas the effect is opposite for magnetic and permeability parameters are seen.An increase in the melting and radiation the local Nusselt number at the solid-fluid interface decreases but the opposite effect take place for the Casson fluid parameter.
Declarations
Author contribution statement
Fazle Mabood: Performed the experiments; Contributed reagents, materials, analysis tools or data; Wrote the paper.Kalidas Das: Conceived and designed the experiments; Analyzed and interpreted the data.
Funding statement
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Competing interest statement
The authors declare no conflict of interest.
Additional information
No additional information is available for this paper.