**Academic Editor:**Inder Kaur, Nottingham Trent university, UK.

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Journal of Advances in Nanotechnology

ISSN: 2689-2855

Influence of Chemical Reaction on Marangoni Convective Flow of Nanoliquid in the Presence of Lorentz Forces and Thermal Radiation: A Numerical Investigation

This study aims to numerically investigate the Marangoni convective flow of nanoliquid initiated by surface tension and heading towards a radiative Riga surface. The surface tension appears in the problem due to the gradients of temperature and concentration at the interface. The influence of first order chemical reaction is involved in the system with sufficient boundary conditions. Set of governing nonlinear PDEs is transformed into highly nonlinear ODEs using suitable transformations. HAM is applied for convergent series solutions. Impact of various pertinent fluid parameters on momentum, thermal and solutal boundary layers is analyzed graphically. The chemical reaction plays vital role in saturation of nanoparticles in the base fluid near the surface as well as away from it. The Lorentz forces originated by the Riga surface become powerful when the radiation parameter comes into effect. The significance of Riga plate is thus more prominent through thermal radiation. However, the magnetic effect dampens down for higher radiation parameter. Fluid parameters, Nusslt and Sherwood numbers are analyzed with detailed discussion and concluding remarks.

Carlo Marangoni, an Italian scientist introduced the concept of surface tension gradients driven fluid. This surface tension is popped up in the surface due to gradients of temperature and concentration on the occurrence of a liquid to liquid or liquid to air interface. A liquid with higher surface tension attracts more liquid from a region with low surface tension that ultimately results in fluid flow away from the regions having low surface tension. The gradients of temperature and concentration are therefore, critical factors for such convections under Marangoni effect. A significant interest developed in investigation of heat and mass convection under this phenomenon for its vast applications in industries such as welding, crystals, melting of electronic beams etc. Consequently, numerous researchers contributed in this field after Marangoni. Lin et al ^{1} worked on the convection under Marangoni phenomena with thermal gradients and magnetic number variation. Exact solutions achieved by Aly and Ebaid ^{2} in their study on Marangoni convection of nanoliquids achieved significant appreciation in nanoliquid convection analysis. Mat et al. ^{3}, Gevorgyan et al. ^{4} and Al-sharafi et al. ^{5} have also contributed in this field of study with valuable results there in.

Engineers, Scientists working in the field of Nuclear energy, and Pharmaceutics come across the problem of rise in temperature in the working machine at a high speed performance. This situation was a big reason to worry in fluid mechanics before the introduction of Nanoliquids. The Idea of nanoliquid was introduced by Choi ^{6} in his research study. Pouring nanoparticles in a base fluid of poor conductivity showed drastically efficient results in the aspect of thermal conductivity of the base fluid. These impurities improved the conductivity of the fluid up to a significant level and the problem of machine heating was controlled with improved efficiency. Later on, Ibanez et al. ^{7} studied MHD nanoliquids analytically assuming convective boundary conditions. Hayat et al. ^{8} studied flow on stagnation point with an inclined magnetic field considering a nanofluid. Anum et al. ^{9} analyzed a third grade nanoliquid flow over a Riga plate with Cattaneo-Christov model in application. Hayat et al. ^{10} studied MHD-Powell-Eyring nanofluid flow with convective conditions. Alsabery et al. ^{11} studied heat flux in simulating the nanoliquid obtaining good results in Nusslt number. Numerous applications have been presented by Sheikholeslami and Ganji ^{12} in their research for useful nanoliquids. Nasrin et al. ^{13} studied free convection in aspect of nanoliquid passing through a chamber. Williamson nanoliquid has been analyzed by Bhatti and Rashidi ^{14}. Parvin et al. ^{15} studied free convection through curved cavity using water based nanoliquid. Selimefendigil and Oztop ^{16} studied conjugate convection via titled cavity. Reddy et al. ^{17} performed numerical simulations of the mixed convection using two phase fluid model through a plate. For more related works one can see ^{18, }^{19, }^{20, }^{21, }^{22, }^{23, }^{24, }^{25, }^{26, }^{27, }^{28, }^{29, }^{30}.

Fluid flow analysis in the field of fluid mechanics has always been dependent on various external influencing agents. Researchers working in the field of Astrology and Geo physics always need such kind of external agents to ease the movement of fluid in their processing. Most of the fluids for example plasma are typically dependent on the magnetic induction for their flow phenomena. Reason of this dependence of fluids on external agents is poor conductivity of fluids. The problem was somehow reduced with the introduction of Riga plate, an array of permanently mounted magnets and alternating electrodes as displayed in the model of this paper. Gailitis and Lielausis ^{31} introduced this array in their study for the first time which is treated as a hallmark in the field of fluid mechanics. Later on, Ahmed et al. ^{32} studied the impacts of zero mass flux on fluids involving Riga plate in their model. Sheikholeslami et al. ^{33} in their research concluded that temperature profile shows decreasing behavior with strong Marangoni number (r) due to Lorentz forces. Shafiq et al. ^{34} studied fluid point-flow based Walters-B model involving a Riga plate in their study and found fruitful results in the aspect of thermal characteristics. Adeel et al. ^{35} analyzed mixed convection nanoliquids mounting a vertical Riga plate in the way of fluid flow with strong suction.

Numerous articles on nanoliquids are available in the literature in the context of heat and mass flux with different variables and different systematic approaches. However, the use of Riga plate for generation of magnetic effect together with effect of chemical reaction is not found in the literature as for as to the knowledge of the author that assures the novelty of this research work. In this study, firstly we have involved the Riga plate to generate Lorentz forces in the system. The chemical reaction effect and thermal radiation effect are considered. Secondly, the set of PDEs is converted into set of nonlinear ODEs with transformations using the technique of non-dimensionalization ^{36}. The non-dimensionalized system is subjected to HAM ^{37, }^{38, }^{39, }^{40, }^{41, }^{42} for convergent series solutions. Thirdly, the convergence of the results is analyzed graphically and finally, the results are plotted with sufficient discussion on the behavior of flow profiles.

A two dimensional steady and in-compressible nanoliquid is considered under Marangoni effect heading towards a radiative Riga surface. The flow is driven by tension appearing in the surface due to the temperature and concentration gradients. Thermal radiation and chemical reaction effects are utilized. The Brownian motion factor and Thermphoresis phenomena are of significant importance in this study. The temperature *T*_{f}relates the temperature gradient whereas *C*_{f} relates the concentration gradient with base fluid. The heat-mass flux is considered along x-axis in Cartesian coordinates. Figure 1 displays the physical scenario for the aforementioned problem. The governing equations are therefore:

The surface tension s, being a function of *T* and *C* can be defined as follows:

where

with following boundary conditions,

Here *u, v * represent the velocity components in *x, **y* directions, respectively. μ is symbol of dynamic viscosity, *v* is the kinematic viscosity, *ρ*_{f} represents the density of fluid, *K* is used for chemical reaction, σ the surface tension, *T*_{0} and *C*_{0} are temperature and concentration on the surface, α is representing thermal diffusivity of the fluid, *k* is symbol of thermal conductivity of fluid. 𝜏 is used for ratio between heat capacity of the fluid, *k* is symbol of thermal conductivity of fluid. 𝜏 is used for ratio between heat capacity of the nanoparticles *(PC)*_{p} and heat capacity of base fluid, *(PC)*_{f , }*D*_{B} is Brownian diffusion, *D*_{T} is Thermophoresis, and *q*_{r} is the typical radiative heat flux that can be written through Rosseland's approximation as follows:

where ∑*** and *K*^{*}are Stefan-Boltzmann's constant and coefficient of mean absorption, respectively. Using Taylor's series and omitting second and higher order terms, we get,

which upon substitution in (8) yields

Equation (10) in (3) gives,

Define,

We obtain,

With,

where 𝜸 = (C_{o}𝜸_{C}) / (T_{o}𝜸_{T}) is the ratio of thermal to solutal surface tension s.t. R=((C_{0}-C_{∞})γC)/((T_{0}-T_{∞})γT) and Ma|_{L,T}=(L𝝙T𝜸_{T}|_{C})/ να , Ma|_{L,C}=(L𝝙Cγ_{C}|_{T})/να are thermal and solutal Marangoni numbers resulting 𝜸*=Ma\L,T / Ma\**L,C *is the Marangoni ratio. (*Q=L*^{4}*π**j*_{0}* M*_{0}*/8**ν*^{2}*x**ρ) *is the modified Hartman number, (Pr = ν/α) is the Prandtl number,* (**N*_{b}*=(**ρ**c)*_{p}* D*_{B}* C*_{0}* x*^{2}^{}*/ (**ρ**c)*_{f}* L*^{2}* a) *is the Brownian motion factor, Sc=ν/D is the Schmidt number,*(**N*_{t}*= (**ρ**c)*_{p}* D*_{T}* x*^{2}*) / (**ρ**c)*_{f}* L*^{2}* a )* is Thermophoretic factor,* (Rd= 4**Σ* **T*_{∞}^{3}*/ kk*)*, is radiation parameter and, (*β=**π**L**/a)* is dimensionless parameter. Skin friction coefficient, local Nusselt and Sherwood numbers are defined by,

where *Re*_{x}* = **ux**/v* represents the local Reynolds number.

The efficiency of Homotopy analysis method (HAM) for solving non-linear ODEs has been witnessed through literature. Researchers have given preference to this technique over various other famous methods. The method starts with assumption of some suitable initial guess subject to the boundary conditions given in the problem. Let,

One can see that (16) is satisfied. Define,

such that,

Where *a*_{i} are constants for. i = 1-7.The *0*^{th}order deformation problems are:

subject to,

Resulting the following system,

where *p**∈**[0,1**] * is a typical embedding parameter and **ĥ**_{f}_{,}** ĥ**_{θ}, **ĥ**_{ϕ }are so-called auxiliary parameters with *N*_{f}*, **N*_{θ}*, **N*_{ϕ} are the non-linear operators. For *p=0,1*, we have:

Using Taylor's expansion,

The convergence of (24) is purely dependent on the choice of ĥ. For p such that the system (24) converges, we write,

The m^{th} order deformation problems are,

where *ϕ*_{m}*=**1*for *m>1 *otherwise 0. Finally,

with following general solutions to the problem,

where *a*_{i} are constants for *i** =1-7* and *f*_{m}^{*}_{(}_{η), }*θ*_{m}^{*}_{(}_{η),}*ϕ*_{m}^{*}_{(}_{η)}are special solutions.

The auxiliary parameters used for the flow profiles in series solutions in HAM are typically considered for controlling the convergence. These parameters significantly moderate the convergence rates thus are vital in achieving the convergence of final solutions. Convergence interval of *f*, *θ *and *ϕ* are sketched in Figure 2. One can see that the intervals of convergence for the aforementioned three profiles are (-0.40, 0.05), (-0.45, 0.05) and (-0.45, 0.05), respectively. The solutions show convergence after*19*^{th} iteration for velocity profile and *26*^{th} iteration for temperature and concentration profiles, respectively.

**Figure 2.** H-Curves for Velocity, Temperature and Concentration Profiles

We examine the behavior of a surface tension driven nanofluid under the action of Lorentz forces generated by Riga surface and the chemical reaction inside the fluid. The flow is assumed in two dimensions such that x-axis is parallel to the fluid flow and y-axis is normal to the surface of the Riga plate. Influence of pertinent fluid parameters on flow profiles is plotted graphically and the discussion on these graphs is as follows. Figure 3 presents the behavior of velocity profile with variation in the dimensionless parameter *β*. The elevated values of *β* enhance the fluid viscosity that results in decreasing the flow momentum and corresponding boundary layer drops down. The flow velocity receives enhancement with elevated values of modified Hartman number as displayed in Figure 4. The graph of *f*^{}*‘*(*η*) shows augmented variation with augmented values of. *Q *The induced Lorentz forces parallel to the flow profile enhance the surface tension produced in fluid that certainly drives the fluid with stronger force. Consequently the flow profile receives an increasing behavior. Figure 5 shows the behavior of velocity profile and associated boundary layer with variation in Marangoni ratio (r). One can see an increasing behavior in profile for elevated values of r. Figure 6 is the display of temperature profile against the dimensionless parameter *β*. The temperature drops down for elevated values of *β*. The rise in viscosity for elevated values of *β* results in slow motion of fluid and consequently lessens the collisions in between fluid particles as well as between fluid particles and nanoparticles that results in decreasing behavior of temperature profile. The same is noticed with augmented values of *Q *plotted in Figure 7. The temperature profile and associated boundary layer shows a decreasing behavior. A significantly prominent increase in temperature profile is witnessed for larger values of Prandtl number (Pr) portrayed in Figure 8. Since, Prandtl number is the ratio of momentum diffusivity to thermal diffiusivity, therefore, the elevated values of *P*𝜸 number enhance the momentum diffusivisity that results in enhancement of temperature profile and associated boundary layer. Not prominent, but comparatively an increasing behavior is noticed in temperature profile with enhancement in Thermophoretic factor (Nt) as plotted in Figure 9. The enhancement is dependent on the strong Thermophoretic force that results the away

**Figure 3.** Velocity profile against ß

**Figure 4.** Velocity profile against Q

**Figure 5.** Velocity Profile against r

**Figure 6.** Temperature profile against ß

**Figure 7.** Temperature profile against Q

**Figure 8.** Temperature profile against Pr

**Figure 9.** Temperature profile against Nt

movement of nanoparticles from the surface of Riga. Figure 10 is the display of influence of radiation factor (Rd) on the temperature profile. Temperature profile receives prominent enhancement in its behavior with elevated values of radiation factor. Thus the addition of radiation factor enhances the heat flux up to a significant level. Figure 11 is plotted to analyze the behavior of concentration of nanoparticles against the variation in Brownian motion factor (Nb). The stronger Brownian motion factor enhances the in-predictive motion of fluid particles that results in enhancement of temperature distribution. This enhancement in temperature drops down the concentration of nanoparticles near the Riga surface. The concentration profile enhances with elevated values of Schmidt number (Sc) for certain reasons as shown in Figure 12. The main reason is the enhancement in Brownian diffusivity that results in enhancement of associated boundary layer of concentration of nanoparticles in the base fluid. Elevated values of both the chemical reaction and radiation factor result in decreasing behavior of the concentration profile displayed in Figure 13 and Figure 14, respectively. The enhancement in chemical reaction results in away movement of nanoparticles from the surface that ultimately effects the concentration in the base fluid. The elevated values of Thermophoretic factor (Nt) result in enhancement of heat flux but drops down the mass flux while the enhancement in Prandtl results in decreasing behavior of the Sherwood number (the mass flux) as plotted in Figure 15, Figure 16 and Figure 17.

**Figure 10.** Temperature profile against Rd

**Figure 11.** Concentration profile against Nb

**Figure 12.** Concentration profile against Sc

**Figure 13.** Concentration profile against K

**Figure 14.** Concentration profile against Rd

**Figure 15.** Nusslt number against Nb

**Figure 16.** Sherwood number against Nb

**Figure 17.** Sherwood number against Nb

This subsection summarizes the result with a precise comparison of present results with ^{33}. Setting M=0 in ^{33} and Q=0=K=Rd in present model, the left over system of equations and the graphical results are exactly the same in either case as presented in Figure 18 for the velocity profile against Marangoni ratio (r). However, considering the effects of Q, K and Rd, we observe that there is a significant variation in the graphical results in the present work as compared to the previous work. For example, the elevated values of 𝜸 result in a rapid increasing behavior of velocity profile in the present case as compared to ^{33} confirming a more prominent effect of Marangoni ratio (r) on the flow profiles.

We examine the behavior of a surface tension driven nanofluid under the action of Lorentz forces generated by Riga surface and the chemical reaction inside the fluid. The flow is assumed in two dimensions such that x-axis is parallel to the fluid flow and y-axis is normal to the surface of the Riga plate. The final governing equations after application of suitable transformations with sufficient boundary conditions have been solved by HAM. The convergent series solutions are presented and analyzed graphically. Following are salient conclusions

Velocity profiles receives prominent enhancement with stronger Marangoni factor (r) however, the elevated values of dimensionless parameter *β* result in decreasing behavior of flow velocity and the associated boundary layer drops down.

Prandtl number is an enhancing factor for the temperature distribution.

Both the radiation and thermophoresis are increasing factors of temperature distribution.

Chemical reaction forces the away movement of nanoparticles from Riga surface. A prominent decreasing behavior is witnessed with elevated values of *K*.

Heat flux enhances with augmented values of Thermophoretic factor (Nt).

Mass flux declines with augmented values of Thermophoretic factor (Nt) and the Prandtl factor (Pr).