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. 2014 Sep 24;9(9):e107622. doi: 10.1371/journal.pone.0107622

Heat and Mass Transfer in Unsteady Rotating Fluid Flow with Binary Chemical Reaction and Activation Energy

Faiz G Awad 1, Sandile Motsa 2,*, Melusi Khumalo 1
Editor: Xiao-Dong Wang3
PMCID: PMC4175459  PMID: 25250830

Abstract

In this study, the Spectral Relaxation Method (SRM) is used to solve the coupled highly nonlinear system of partial differential equations due to an unsteady flow over a stretching surface in an incompressible rotating viscous fluid in presence of binary chemical reaction and Arrhenius activation energy. The velocity, temperature and concentration distributions as well as the skin-friction, heat and mass transfer coefficients have been obtained and discussed for various physical parametric values. The numerical results obtained by (SRM) are then presented graphically and discussed to highlight the physical implications of the simulations.

Introduction

The study of boundary layer flow and heat transfer inducted by stretching surface has attracted considerable interest due to its wide applications in industrial processes such as the cooling of an infinite metallic plate in a cooling bath, the aerodynamic extrusion of plastic sheets, boundary layer along the material handling conveyers, the boundary layer along a liquid film and condensation processes. The quality of the final product depends on the skin friction coefficient and the rate of heat transfer. One of the earliest studies of the boundary layer flow problem was conducted by Sakiadis [1], [2]. Crane [3] extended this concept to present the problem of the steady two-dimensional boundary layer flow over stretching sheet of elastic flat surface with linear velocity. He demonstrated that the problem was interesting because it possessed a closed form exact solution. Studies have been carried out for the case of the axisymmetric and three-dimensional flow by Brady and Acrivos [4], and Wang [5]. Investigations by, among others, Afzal [6], Prasad et al. [7], Abel and Mahesha [8], Bataller [9], Abel et al. [10], have also provided examples of various aspects of this important field.

Unsteady flows in rotating fluid have numerous uses or potential applications in chemical and geophysical fluid dynamics and mechanical nuclear engineering. Using the Fourier series analysis, Soundalgekar et al. [11] investigated the unsteady rotating flow of incompressible, viscous fluid past an infinite porous plate. The boundary layer flow problem formed in a rotating fluid by oscillating flow over an infinite half-plate has been examined Bergstrom [12]. Abbas et al. [13] studied the unsteady boundary layer MHD flow and heat transfer on a stretching continuous sheet in a viscous incompressible rotating fluid numerically using the Keller-box method. Nazar et al. [14] investigated unsteady flow due to the impulsive starting from rest of a stretching surface in a viscous and incompressible rotating fluid. Zheng et al. [15] studied the unsteady rotating flow of a generalized Maxwell fluid with fractional derivative model between two infinite straight circular cylinders. Using the shooting method Fang [16] studied the problem of the laminar unsteady flow over a stretchable rotating disk with deceleration is investigated. Rashad [17] investigated the unsteady magnetohydrodynamics boundary-layer flow and heat transfer for a viscous laminar incompressible electrically conducting and rotating fluid due to a stretching surface embedded in a saturated porous medium with a temperature-dependent viscosity in the presence of a magnetic field and thermal radiation effects. Nageeb et al. [18] used the Runge-Kutta method based on shooting technique to investigate the unsteady MHD flow and heat transfer of a couple stress fluid over a rotating disk. For the case in which steady flow rotating flow involve the powe-law, very recently, Hajmohammadi et al. [19] developed an analytical solution for two-phase flow betwen two rotating cylinders filed with power law liquid and a micro layer of gas. Moreover Hajmohammadi and Nourazar [20] the problem of heat transfer repercussions thin gas layer in micro cylindrical Couette flows involving power-law liquids.

Many chemically reacting systems involve the species chemical reactions with finite Arrhenius activation energy, with examples occurring in geothermal and oil reservoir engineering. The interactions between mass transport and chemical reactions are generally very complex, and can be observed in the production and consumption of reactant species at different rates both within the fluid and the mass transfer. One of the earliest studies involving the binary chemical reaction in boundary layer flow was published by Bestman [21] who presented an analytical solution using the perturbation method to show the effect of the activation energy in natural convection in a porous medium. Using the Arrhenius activation energy Bestman [22] subsequently investigated radiative heat transfer on the flow of a combustible mixture in a vertical pipe. Makinde et al. [23] studied the effects of Inline graphic order Arrhenius chemical reaction, thermal radiation, suction/injection and buoyancy forces on unsteady convection of a viscous incompressible fluid past a vertical porous plate numerically. They showed that the effect of the chemical reaction, heat source, and suction or injection is significant at the wall of the wedge on the flow field. A numerical study of the unsteady mixed convection with Dufour and Soret effects past a semi-infinite vertical porous flat plate moving through a binary mixture of chemically reacting fluid was conducted by Makinde and Olanrewaju [24]. The most recent contributions in this area include those of Abdul Maleque [25][27], who investigated the effects of chemical reactions with Arrhenius activation Energy on unsteady convection heat and mass transfer boundary layer fluid flow.

This work deals with the effects of chemical reactions with finite Arrhenius activation energy on unsteady rotating fluid flow due to a stretching surface with Binary chemical reaction and activation energy. The governing partial differential equations are solved using the spectral relaxation method (SRM). The SRM is based on simple decoupling and rearrangement of the governing nonlinear equations in a Gauss-Seidel manner. The resulting sequence of equations are integrated using the Chebyshev spectral collocation method. The SRM was introduced in [29] for the solution of the nonlinear ODE system model of von Karman flow of a Reiner-Rivlin fluid. A generalised presentation of the method was later presented in [30] and applied in three ODE based systems of boundary layer flow equations of varying complexity. The method has also been successfully used in the solution of chaotic and hyper-chaotic systems [31], [32] which are defined as systems of ODE initial value problems.

Mathematical Formulation

Consider the three-dimensional, unsteady flow due to a stretching surface in a rotating fluid. The motion in the fluid is three dimensional. At time Inline graphic, the surface Inline graphic is impulsively stretched in the Inline graphic direction in the rotating fluid. The velocity components are assume to be Inline graphic in the direction of the Cartesian axes Inline graphic, respectively, and the axes is rotating at an angular velocity Inline graphic in the Inline graphic direction. The surface temperature Inline graphic and solute concentration Inline graphic are higher than the ambient values Inline graphic and Inline graphic, respectively. Assuming a species chemical reaction with finite Arrhenius activation energy, the governing equations for the problem can be written in the form

graphic file with name pone.0107622.e013.jpg (1)
graphic file with name pone.0107622.e014.jpg (2)
graphic file with name pone.0107622.e015.jpg (3)
graphic file with name pone.0107622.e016.jpg (4)
graphic file with name pone.0107622.e017.jpg (5)
graphic file with name pone.0107622.e018.jpg (6)

where Inline graphic is the pressure, Inline graphic is the density, Inline graphic is the kinematic viscosity, Inline graphic is the fluid temperature, Inline graphic is the solutal concentration, Inline graphic is the thermal diffusivity, Inline graphic is the solutal diffusivity and Inline graphic denotes the three-dimensional Laplacian, Inline graphic is the modified Arrhenius function, Inline graphic is the Boltzmann constant, Inline graphic is the chemical reaction rate constant, Inline graphic is a unit less constant exponent fitted rate constants typically lie in the range Inline graphic. Let the surface be impulsively stretched in the Inline graphic direction such that the initial and boundary conditions are

graphic file with name pone.0107622.e033.jpg
graphic file with name pone.0107622.e034.jpg (7)
graphic file with name pone.0107622.e035.jpg (8)

The following non-dimensional variables are introduced,

graphic file with name pone.0107622.e036.jpg
graphic file with name pone.0107622.e037.jpg (9)

The governing equations (2) – (5) along with the boundary conditions (7) can be presented as

graphic file with name pone.0107622.e038.jpg (10)
graphic file with name pone.0107622.e039.jpg (11)
graphic file with name pone.0107622.e040.jpg (12)
graphic file with name pone.0107622.e041.jpg (13)

subject to the boundary conditions

graphic file with name pone.0107622.e042.jpg
graphic file with name pone.0107622.e043.jpg (14)

where Inline graphic is the rotation rate parameter, Inline graphic is the Prandtl number, Inline graphic is the Schmidt number, Inline graphic the non-dimensional activation energy, Inline graphic is the temperature relative parameter, Inline graphic is the dimensionless chemical reaction rate constant.

The non-dimensional skin friction in both Inline graphic and Inline graphic directions, the local Nusselt number, the local Sherwood number are defined in the form

graphic file with name pone.0107622.e052.jpg (15)

where the wall shear stresses Inline graphic, Inline graphic, respectively, are given by

graphic file with name pone.0107622.e055.jpg (16)

substituting (9) and (16) into (15) it gives

graphic file with name pone.0107622.e056.jpg

where Inline graphic is the local Reynolds number.

Numerical Solution

In this section, the spectral relaxation method (SRM) is applied to solve the governing nonlinear PDEs (10 – 13). For the implementation of the spectral collocation method, at a later stage, it is convenient to reduce the order of equation (10) from three to two. To this end, we set Inline graphic, so that equation (10) becomes

graphic file with name pone.0107622.e059.jpg (17)
graphic file with name pone.0107622.e060.jpg (18)

The spectral relaxation method algorithm uses the idea of the Gauss-Seidel method to decouple the governing systems of equations (1013). From the decoupled equations an iteration scheme is developed by evaluating linear terms in the current iteration level (denoted by Inline graphic) and nonlinear terms in the previous iteration level (denoted by Inline graphic). Applying the SRM on (11 – 13) and (17 – 18) gives the following linear partial differential equations;

graphic file with name pone.0107622.e063.jpg (19)
graphic file with name pone.0107622.e064.jpg (20)
graphic file with name pone.0107622.e065.jpg (21)
graphic file with name pone.0107622.e066.jpg (22)
graphic file with name pone.0107622.e067.jpg (23)
graphic file with name pone.0107622.e068.jpg (24)
graphic file with name pone.0107622.e069.jpg (25)
graphic file with name pone.0107622.e070.jpg (26)

where

graphic file with name pone.0107622.e071.jpg
graphic file with name pone.0107622.e072.jpg
graphic file with name pone.0107622.e073.jpg

The initial approximation for solving equations (1013) are obtained as the solutions at Inline graphic. Thus Inline graphic, Inline graphic, Inline graphic, Inline graphic and Inline graphic are given by

graphic file with name pone.0107622.e080.jpg (27)
graphic file with name pone.0107622.e081.jpg (28)

Starting from given initial approximations (27 – 28), the iteration schemes (19 – 26) can be solved iteratively for Inline graphic, Inline graphic, etc, when Inline graphic. To solve equation (1926) the the linear equations are discretized using the Chebyshev spectral method in the Inline graphic-direction and use an implicit finite difference method in the Inline graphic-direction. For brevity, the details of the spectral methods are omitted. Interested readers may refer to Refs. [28], [33]. Before applying the spectral method, it is convenient to transform the domain on which the governing equation is defined to the interval [−1,1] where the spectral method can be implemented. For the convenience of the numerical computations, the semi-infinite domain in the space direction is approximated by the truncated domain Inline graphic, where Inline graphic is a finite number selected to be large enough to represent the behaviour of the flow properties when Inline graphic is very large. We use the transformation Inline graphic to map the interval Inline graphic to Inline graphic. The basic idea behind the spectral collocation method is the introduction of a differentiation matrix Inline graphic which is used to approximate the derivatives of the unknown variables Inline graphic and Inline graphic at the collocation points (grid points) as the matrix vector product

graphic file with name pone.0107622.e096.jpg (29)

where Inline graphic is the number of collocation points, Inline graphic, and

graphic file with name pone.0107622.e099.jpg
graphic file with name pone.0107622.e100.jpg
graphic file with name pone.0107622.e101.jpg

are the vector functions at the collocation points. Higher order derivatives are obtained as powers of Inline graphic, that is

graphic file with name pone.0107622.e103.jpg (30)

where Inline graphic is the order of the derivative. The grid points on Inline graphic are defined as

graphic file with name pone.0107622.e106.jpg (31)

where Inline graphic, Inline graphic are the total number of grid points in the Inline graphic and Inline graphic-directions respectively, and Inline graphic is the spacing in the Inline graphic-direction. The finite difference scheme is applied with centering about a mid-point halfway between Inline graphic and Inline graphic. This mid-point is defined as Inline graphic. The derivatives with respect with Inline graphic are defined in terms of the Chebyshev differentiation matrices. Applying the centering about Inline graphic to any function, say Inline graphic and its associated derivatives we obtain,

graphic file with name pone.0107622.e119.jpg (32)

Thus, applying the spectral collocation method and finite difference approximation on the SRM scheme (19 – 26) gives

graphic file with name pone.0107622.e120.jpg (33)
graphic file with name pone.0107622.e121.jpg (34)
graphic file with name pone.0107622.e122.jpg (35)
graphic file with name pone.0107622.e123.jpg (36)
graphic file with name pone.0107622.e124.jpg (37)

subject to the following boundary and initial conditions

graphic file with name pone.0107622.e125.jpg (38)
graphic file with name pone.0107622.e126.jpg (39)
graphic file with name pone.0107622.e127.jpg (40)

for Inline graphic The matrices Inline graphic are defined for Inline graphic as

graphic file with name pone.0107622.e131.jpg
graphic file with name pone.0107622.e132.jpg
graphic file with name pone.0107622.e133.jpg
graphic file with name pone.0107622.e134.jpg
graphic file with name pone.0107622.e135.jpg
graphic file with name pone.0107622.e136.jpg
graphic file with name pone.0107622.e137.jpg
graphic file with name pone.0107622.e138.jpg

where Inline graphic is an Inline graphic identity matrix and Inline graphic is an Inline graphic matrix of zeros. The boundary conditions are imposed on the first and last rows of equation each matrix Inline graphic. Thus, starting from the initial conditions Inline graphic, Inline graphic, Inline graphic, Inline graphic, Inline graphic given by equations (27) and (28), the matrix equations (3337) can be solved iteratively, in turn, to give approximate solutions for Inline graphic, Inline graphic, etc, for Inline graphic until a solution that converges to within a given accuracy level is obtained.

Results and Discussion

In order to determine the evolution of the boundary layer flow properties, numerical solutions of the set of governing systems of partial differential equations (10) – (13) along with the boundary conditions (14), were computed using the proposed spectral relaxation method (SRM). Starting from the initial analytical solutions at Inline graphic (corresponding to Inline graphic), the SRM scheme was used to generate results up to solutions near the steady state values at Inline graphic (corresponding to Inline graphic). The effect of the governing parameters namely, the rotation rate parameter Inline graphic, the Schmidt number Inline graphic, the non-dimensional activation energy Inline graphic, the Prandtl number Inline graphic, the chemical reaction rate constant Inline graphic, the temperature relative parameter Inline graphic and Inline graphic on the flow characteristics as well as the local skin friction, heat and mass transfer coefficients the results are presented graphically in this section. Fig. 1 and Fig. 2 show the variation of the velocity profiles Inline graphic and Inline graphic, respectively, for different values of Inline graphic. We observe that an increase in the values of Inline graphic leads to monotonic exponential decay in the velocity profiles for small values and it results in oscillatory decay for a large values of Inline graphic. The same results have been reported by Nasar et al. [14] in a related study. Fig. 3 and Fig. 4 show the variation of the skin friction coefficients in the Inline graphic and Inline graphic directions respectively for various values of the rotation rate parameter Inline graphic. It is observed that Inline graphic decreases both the skin friction coefficients thus reduces the momentum boundary layers. The effects of the rotation rate parameter Inline graphic on the temperature profile is shown in Fig. 5. This figure shows that the thermal boundary layer thickness decreases with Inline graphic, thus an increase in Inline graphic causing a drop in the temperature. Fig. 6 illustrates the variation of the Nusselt number Inline graphic with Inline graphic for some values of Inline graphic. However increases Inline graphic decreases the heat transfer coefficient and the influence of Inline graphic can be obtained beyond Inline graphic in the heat. The variations of the temperature Inline graphic profile with Inline graphic for several values of the Prandtl number Inline graphic are shown in Fig. 7. It is observed that the thermal boundary layer thickness decrease with an increase in Inline graphic. Larger values of Prandtl number corresponds to the weaker thermal diffusivity and thinner boundary layer, hence Inline graphic reduces the temperature. Fig. 8 shows concentration distribution for several values Prandtl number. The effect of the Prandtl number is to reduce the mass transfer boundary-layer thickness and so reducing the Inline graphic. The influence of the chemical reaction rate constant Inline graphic on the concentration profile within the boundary layer is given in Fig. 9. An increase in the Inline graphic effect reduces the concentration within the thermal boundary layer region. This is because increasing the chemical reaction rate causes a thickening of the mass transfer boundary layer. The effects of the non-dimensional activation energy Inline graphic on the concentration profile have been plotted in Fig. 10, it has been notice that increasing the non-dimensional activation energy Inline graphic effect increases the concentration boundary layer thinness which enhances the concentration.

Figure 1. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 1

Figure 2. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 2

Figure 3. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 3

Figure 4. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 4

Figure 5. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 5

Figure 6. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 6

Figure 7. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 7

Figure 8. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 8

Figure 9. Effect of Inline graphic on Inline graphic for Inline graphic, Inline graphic, Inline graphic and Inline graphic.

Figure 9

Figure 10. Effect of Inline graphic on Inline graphic for Inline graphic, Inline graphic, Inline graphic and Inline graphic.

Figure 10

Fig. 11 shows the effect of increasing the dimensionless exponent fitted rate constant Inline graphic on the concentration profile. It is observed that increasing Inline graphic reduces the concentration within the thermal boundary layer leading to an increase in the concentration gradient at the sheet. From Fig. 12 dimensionless exponent fitted rate constant Inline graphic leads to a considerable thinning of the concentration boundary layer, and hence a reduction in mass transfer rate at the sheet wall. Fig. 13 and Fig. 14 depict the variation of the solute concentration and the mass transfer rate Inline graphic respectively for different values of the temperature relative parameter Inline graphic. It is evident that as Inline graphic increases, the concentration boundary layer thickness decreases followed by a reduction in both the solute concentration and the mass transfer rate.

Figure 11. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 11

Figure 12. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 12

Figure 13. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 13

Figure 14. Effect of the rotating parameter Inline graphic on Inline graphic for Inline graphic, Inline graphic and Inline graphic.

Figure 14

Conclusions

In this investigation, we considered the spectral relaxation method approach to solving an coupled non-linear partial differential equation system that governs the unsteady flow with binary chemical reaction and activation energy due to a stretching surface in a rotating fluid. The effects of the governing parameters namely the rotation rate parameter, the Schmidt number, the non-dimensional activation energy, the Prandtl number, the chemical reaction rate constant, the temperature relative parameter and on the flow characteristics as well as the local skin friction, heat and mass transfer coefficients have been studied. Small values the rotation rate parameter Inline graphic shows a monotonic exponential decay in the velocity profiles and there is oscillatory decay for a large values. Increasing in the non-dimensional activation energy Inline graphic enhances the concentration profile within the boundary layer. The spectral relaxation method used was found to be a very effective method for solving the type of problem considered in this work.

Data Availability

The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.

Funding Statement

The authors have no support or funding to report.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.


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