MHD Slip Flow for Casson Nano Fluid over a Radically Surface with Zero Mass Flux at the Surface, Non-liner Radiation and Temperature Jump

Depending upon the ability of increasing and decreasing the energy discharge to the system there are vital fluids used in industry. The core fragment of such an influence is typical of industrial erection and thermal mechanism such as heat efficiency, thermal conductivity and else physical characteristics. When thermal conductivity is low in production processes otherwise the heat transfer capacity can be compromised. Excellent heat transfer capacity is the central necessity in engineering procedure such as paper processing, chemical processes, power generation and glass fibre etcetera. Enlarge of thermal conductivity can be accomplished with the introduction of suspended metallic particles in the manufacturing liquids. Metallic particle mixture immersed in low thermal conductivity base fluid is commonly called nanofluids. Many composers present mathematical modal based on their theoretical hypotheses and experimental study to produce thermal conductivity of specific base liquids amount of nanofluids. Buongiorno describes the transport properties of nanofluids by creating a system called 7-slip process, and the velocity of base fluid and nanoparticles are accumulated by this. Two powerful slip processes in nanofluids, Thermophoresis and Brownian diffusion are further deductions produced by Buongiorno. Numerous studies are discussed by many scholars over the last several years on the basis of the concept of nanofluids.

Casson fluid is most popular fluid among fluids and it can be defined as a shear thinning liquid at zero shear levels with infinite viscosity and minimal viscosity at infinite shear levels. The movement of Casson fluid relies on the tension on yield. If the stress applied is less than the yield stress then the fluid action is like a block, but if the shear applied equals the yield stress, the fluid continues going. Casson fluid movement has broad uses in geophysics and chemical engineering. Rehman et al. [1] investigated the nano-fluid movement of the MHD Casson with the slip impact Navier had on the spinning disk. Throughout the form of a chemical reaction, Rehman et al. [2] analyzed the Casson fluid phase. Mustafa et al. [3] studied turbulent Casson flow fluid over a flat plate in motion. Nadeem et al. [4] suggested to flow MHD over an increasingly diminishing surface for Casson fluid. Mukhopadhyay [5] investigated the transfer of heat across a stretching surface on the Casson fluid flow. Mukhopadhyay et al. [6] investigated an exponential structure of the MHD Casson fluid movement. Ramesh and Devakar [7] suggested slip boundary conditions of the Casson fluid movement. Mustafa and Khan [8] suggested nanofluid from MHD Casson through a non-linearly spread surface. The second rule review on MHD Casson nanofluid was researched by Qing et al. [9]. Sandeep et al. [10] studied 3D-Casson fluid flow to an absolute zero level. Raju et al. [11] explored the radiative movement through a traveling wedge to Casson gas.

Electromagnetism and the dynamics of fluids may combine to establish a new and enchanting area called Magneto hydrodynamics. It is a field of continuum mechanics in which the flow of a magnetic field in nature for electrically conducting fluid are analysed. MHD boundary layer flow come across in many engineering processes such as the manufacture or build of thermal and nuclear power plants, air conditioning and refrigeration systems, internal combustion engines, space ship operation, ambient pollutant dispersion, metal heat treatment, etc. Ali and Sandeep [12] researched Cattaneo-Christov conFigureuration for the Casson-ferrofluid radiative MHD. Imtiaz et al. [13] investigated the slip movement of MHD fluid over a spinning disk of variable thickness. Rashid et al. [14] explore MHD, slip flow over variable properties of a spinning porous disk. Hayat et al. [15] investigated MHD fluid flow over spinning disk with slip impact with nanofluid. Kumaran and Sandeep [16] suggested a cross diffusion Brownian flow of MHD Casson and Williamson fluids. Rehman et al. [17] checked Casson fluid dual convection flow MHD on stretching nozzle. Ahmed et al. [18.] studied Jeffrey's convective flow along with heat transfer over a stretch layer. Shahzad and Ali [19] analyzed the MHD flow over a vertical stretching layer of a non- Newtonian fluid. Dohet and Muthtamilselvan [20] studied thermophoretic effect of a spinning disk on the MHD movement of micropolar gas. Malik et al. [21] Computational study of Powell-Eyring fluid caused by tube-shaped surface for MHD stagnation point discharge.

The popular uses of rotational flows are nutrition production, power generation method, centrifugal distillation, spinning air washing appliances and the role of crystal development in medical equipment, to name only a handful. Consequently, owing the significance of these kind of rotational flows, several investigators and scientists are busy in recording flow regime characteristics in this direction. Turkyilmazogluet and Senel [22] proposed the effect transfer of heat and mass over spinning disks. Turkyilmazoglu [23] investigated the flow and heat transmission of nanofluid across a spinning plate. For power-law fluids, Griffiths et al. [24] proposed to rotate disk liquid. Mustafa et al. [25] studied nanofluid flow and heat transfer at Bödewadt. Sheikholeslami et al. [26] investigated the computational analysis of nanofluid for cooling cycle via an inclined spinning disk. Latiff et al. [27] examined the bioconvective movement of nano-fluid over a spinning, stable stretchable sheet. Ming et al. [28] proposed impact of transfer of heat on the power-law fluid over a generalized diffused spinning disk.

A chemical reaction is said to occur as new structures are created by the rearrangement or redistribution of the constituent atoms. Chemical reactions are usually followed by energy evolution or absorption, leading to variations in substance and reactant structures. Chemical kinetics is concerned with the systematic understanding of the pace at which chemical reaction takes place. This intensity will range from a very significant value (instant reactions) to practically zero. Nevertheless, most responses of industrial significance arise at concentrations between those extremes. The chemical reaction rate is determined by a great deal of factors such as temperature, heat, reaction mixture structure, catalyst existence, and catalyst size. The analysis of the impact of these factors on the chemical reaction rate includes chemical kinetics. Most chemically reacting processes produced standardized and heterogeneous reactions. Many uses of this form of reaction involve catalysis, combustion, and biochemical processes. Hayat et al. [29] explored outflow of nanofluids with variable thickness by virtue of spinning sheet. The conclusion of joule warming and chemical changes on fluid flow is comprehended by Rehman et al. [30]. Khan et al. [31] recommended non-Newtonian fluid in the existence of fundamental reactive chemical components.

Throughout the presented analysis transfer of heat and transfer of mass of an unconstrainted convective slip flow of Casson fluid flow was studied via a plate which is vertical. Consideration is often given to the impact of radiation absorption, chemical reaction. Crank–Nicolson Finite Differential Scheme uses MATLAB to solve time based on governing equations. Results for various parameters of fluid flow are described by pictorial representations and tabular forms.

Utilizing Matlab inbuilt tool bvp4c the numerical solution of Eqns. (8-9) equipped with boundary condition (12) are computed. Applying various values of required parameters given computations are carried out with the aid of graphical data. Blowbackcs of the concerning parameters related to temperature, velocity and mass profiles are analyzed. These physical parameters are employed in the following endurable ranges 0 ≤ M ≤ 1, 0 ≤ Kp ≤ 1,0.8 ≤ b ≤ 5, 0 ≤ Me ≤ 2, 0 ≤ slip1 ≤0.5, 0 ≤ slip2 ≤0.2, 0 ≤ slipt ≤0.2, 0 ≤ R ≤ 2.0, 2.0 ≤ Pr ≤ 3.0, 0.5 ≤ Nt ≤ 0.7,2.0 ≤Sc ≤ 3.0, 2.0 ≤ Sc ≤ 0.7, 0.2 ≤ Pe ≤ 0.4, 2.0 ≤ Sn ≤ 3.0.Therefore the analysis is carried out by varying the following parameters one by one all over the graphical representation n=0.5, We=0.5,Nt=0.5, R = 1.0, Sc=2.0, Pr=2.5, w = 1.1, Nb=0.5, Q = 0.03, Kn=0.5, Me=1.0, slip1 =0.5, slipt =0.5, slip2 =0.2, M=0.5. Furthermore these are considered as fix parameters.

A comparative investigation is performed for the affirmation of available numerical prosaic with already established results. Our computed result of C_f,Nu_x, Sh for many values of M is correlated to those indicated by Rehman et al. [30], Khan et al. [31] and Nadeem et al. [32] (Table 1-2). We observed that our computed results exhibit outstanding influences with Makinde, Azam, Ramzan.

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Figure 1. Velocity effect for alteration in M

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Figure 2. Temperature effect for alteration in M

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Figure 3. Concentration effect for alteration in M

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Figure 4. Influence of M on micro-organism boundary layer

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Figure 5. Velocity effect for alteration in Kp

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Figure 6. Temperature effect for alteration in Kp

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Figure 7. Concentration effect for alteration in Kp

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Figure 8. Micro-organism effect for alteration in Kp

Figures 1-4 depicts the variations of involved physical parameters on the f ', θ, ϕ and ω profiles. Figure 1 & 3 reflects the difference in the values of f ' and ϕ with respect to parameter M. This figure depicts that f ' and ϕ decreases when M is increasing. The influence of M parameter on the θ and ω profiles are exhibit in Figures 2 & 4. By improving M, raises θ profile whereas the opposite behaviour is observed on ω profile. Figures 5-8 demonstrate the effect of the kp on f ', θ, ϕ, ω profiles. Variation of f ' and ϕ with respect to Kp parameter is presented in Figures 5 & 7. This figure depicts that f ' and ϕ decreases when Kp is increasing. Figures 6 & 8 outline the consequences of Kp parameter on the θ and ω profiles. Expanding Kp governs gain in θ profile whereas the opposite behavior is observed on ω profile.

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Figure 9. Velocity effect for alteration in β

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Figure 10. Temperature effect for alteration in β

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Figure 11. Concentration effect for alteration in β

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Figure 12. Micro-organism effect for alteration in β

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Figure 13. Velocity effect for alteration in Me

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Figure 14. Temperature effect for alteration in Me

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Figure 15. Concentration effect for alteration in Me

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Figure 16. Micro-organism effect for alteration in Me

Figures 9-12 represent the prominences of β on f', θ, ϕ and ω profiles are drafted in. When the values of β is increased the f', θ, ϕ and ω profiles gets cut down whereas concentration profile is boosted. Figures 13-16 reflects the variations of Me on the f', θ, ϕ and ω profiles. The variation of f', θ and ω profiles with respect to Me parameter is presented in Figure 13, 14 & 16. This figure depicts that the f', θ and ω profiles are boosted when Me parameter is increasing. Figure 15 shows the effect of Me parameter on ϕ profile. Increased value of Me results in suppression of ϕ profile.

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Figure 17. Velocity effect for alteration in slip1

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Figure 18. Temperature effect for alteration in slip1

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Figure 19. Concentration effect for alteration in slip1

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Figure 20. Micro-organism effect for alteration in slip1

The impact of parameter (slip1) on f', θ, ϕ and ω distributions are drafted in Figures 17-20. To bring the development in parameter (slip1), f' together with ϕ distributions decreases whereas θ, and ω profiles are improved. Figures 21- 24 show the variation of (slip2) on the f ', θ, ϕ and ω profiles. This figure depicts that the f', θ and ϕ profiles are boosted with the expansion of parameter (slip₂). The impact of parameter (slip_t) on θ, ϕ and ω distributions are drafted in Figures 25 -27. Boost in the parameter of (slip_t), results in the decline of θ, ϕ and ω distributions. The effect of (slip_m), on the ω distributions is studied in Figure 28. Here an increase in (slip_m) results the decreases in ω distributions.

The contrasts of R on θ, ϕ and ω distributions are established in Figures 29-31. The expansion in values of parameter R results the increase in θ profile whereas the reverse observation is shown on ϕ and ω distributions.

The effect of Pr on the θ, ϕ and ω distributions are studied in Figure 32-34. By improving Pr, θ and ω profile gets cut down whereas the opposite behavior is reflected on ϕ distribution.

The effect of temperature ratio θ_w on the θ, ϕ and ω distributions are studied in Figures 35-37. Here an increase in θ_w observes the increase in the θ distributions whereas the opposite behavior is shown on ϕ and ω distributions. To observe the impact of the parameter Kn on ϕ and ω profiles Figure 38-39 are studied It is analysed that increased values Kn, ϕ and ω profiles gets cut down.

Figure 40-41 represent the effect of Nb on the ϕ and ω distributions. Here an increase in Nb decreases the ϕ and ω profiles. Physically, the Brownian motion expansion aids to tepid the boundary surface which outcomes to passage the nano-particles from the stretching sheet to the fluid in order to reduce the concentration. The effect of Nt on the ϕ and ω distributions are studied in Figure 42-43. Here an increase in Nt increases the ϕ and ω profiles.

Figure 44 is displayed in order to explore the effect of the Sc on ϕ profile. by improving Sc, ϕ profile gets cuts down when the values of the Sc parameter are increased. Physically, the mass flux of the fluid gets declined as a consequence of improving Sc parameter. The mass flux of fluid gets weaken with the species diffusion by this principle and Sc is observed to be proportional to the diffusion coefficient. Figure 45 demonstrate the effect of Sn parameter on ω profile. When the values of the Sn parameter are hiked, the ω profile gets depleted. The effect of the Pe and ρ₁ parameters on ω profile are represented in the Figures 46-47. show the influence of Pe, ρ₁ on ω profile. It is discovered that when the values of the parameter Pe and ρ₁ are enhanced, the microorganism profile gets depressed.

Table 1-2 represents impact of numerous physical parameters on coefficient of skin friction $C_{f} R e_{x}^{\frac{1}{2}}$, local Nusselt number $N_{u} R e_{x}^{\frac{1}{2}}$ and local Sherwood number $\operatorname{Sh} R e^{\frac{1}{2}}$ with or without melting surface. Table (3-4) reflects the comparative investigation with those given by Rehman et al. [30], Khan et al. [31] and Nadeem et al. [32]. In some limiting cases the given results have an excellent collaboration with those already available results.

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Figure 21. Velocity effect for alteration in slip2

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Figure 22. Temperature effect for alteration in slip2

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Figure 23. Concentration effect for alteration in slip2

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Figure 24. Micro-organism effect for alteration in slip2

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Figure 25. Temperature effect for alteration in slipt

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Figure 26. Concentration effect for alteration in slipt

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Figure 27. Micro-organism effect for alteration in slipn

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Figure 28. Micro-organism effect for alteration in slipn

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Figure 29. Temperature effect for alteration in R

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Figure 30. Concentration effect for alteration in R

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Figure 31. Micro-organism effect for alteration in R

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Figure 32. Temperature effect for alteration in Pr

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Figure 33. Concentration effect for alteration in Pr

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Figure 34. Micro-organism effect for alteration in Pr

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Figure 35. Temperature effect for alteration in θw

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Figure 36. Concentration effect for alteration in θw

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Figure 37. Micro-organism effect for alteration in θw

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Figure 38. Concentration effect for alteration in Kn

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Figure 39. Micro-organism effect for alteration in Kn

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Figure 40. Concentration effect for alteration in Nb

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Figure 41. Micro-organism effect for alteration in Nb

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Figure 42. Concentration effect for alteration in Nt

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Figure 43. Micro-organism effect for alteration in Nt

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Figure 44. Concentration effect for alteration in Sc

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Figure 45. Micro-organism effect for alteration in Sn

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Figure 46. Micro-organism effect for alteration in Pe

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Figure 47. Micro-organism effect for alteration in r1

Table 1. The skin friction coefficient $C_{f} R e_{x}^{\frac{1}{2}}$, local Nusselt number $N u R e_{x}^{\frac{-1}{2}}$ and local Sherwood number $\operatorname{Sh} R e^{\frac{-1}{2}}$ and local density number of the motile microorganisms Nnx are following physically parameter with Casson fluid

Table 2. The skin friction coefficient $C_{f} R e_{x}^{\frac{1}{2}}$, local Nusselt number $N u R e_{x}^{\frac{-1}{2}}$ and local Sherwood number $\operatorname{Sh} R e^{\frac{-1}{2}}$ and local density number of the motile microorganisms Nnx are following physically parameter without Casson fluid

Table 3. The local Nusselt number $N u R e_{x}^{\frac{-1}{2}}$ and local Sherwood number $\operatorname{Sh} R e^{\frac{-1}{2}}$ and local density number of the motile microorganisms Nnx are following physically parameter with Casson fluid

Table 4. The local Nusselt number $N u R e_{x}^{\frac{-1}{2}}$ and local Sherwood number $\operatorname{Sh} R e^{\frac{-1}{2}}$ and local density number of the motile microorganisms Nnx are following physically parameter without Casson fluid

Table 5. Comparison of -θ'(0) for various values Pr when Me=Kp=R=Nb=0, Sip1= Sip2 =Nt=M=$\delta$ =0, $\theta_{\mathrm{W}}$=1 and $\beta \rightarrow \infty$ 

Table 6. Comparison of - f ''(0) for various values M when Me=Kp=R=Nb=0, Sip1= Sip2=Nt =$\delta$ =0, $\theta_{\mathrm{W}}$ =1 and $\beta \rightarrow \infty$ 

Table 5 and Table 6 are the comparison table of -θ(0) and -f''(0).