Mathematical Problems in Engineering

Mathematical Problems in Engineering / 2014 / Article

Research Article | Open Access

Volume 2014 |Article ID 389581 |

Khalid Nowar, "Peristaltic Flow of a Nanofluid under the Effect of Hall Current and Porous Medium", Mathematical Problems in Engineering, vol. 2014, Article ID 389581, 15 pages, 2014.

Peristaltic Flow of a Nanofluid under the Effect of Hall Current and Porous Medium

Academic Editor: Mohamed Seddeek
Received14 Sep 2013
Accepted15 Dec 2013
Published20 Mar 2014


The problem of peristaltic flow of an incompressible viscous electrically conducting nanofluid in a vertical asymmetric channel through a porous medium is investigated by taking the Hall effects into account. The governing equations are formulated and simplified under the assumptions of long wavelength and low Reynolds number. The solutions for temperature and nanoparticle profiles are obtained by using the homotopy perturbation method (HPM) and closed form solutions for stream function and pressure gradient are developed. Finally, the effects of various emerging parameters on the physical quantities of interest are plotted and discussed.

1. Introduction

The peristaltic flow problems have attracted the attention of many researchers because of its increasing importance, specially in engineering, physiology, and biological systems. This is due to its many applications in real life such as urine transport from kidney to bladder through the ureter; transport of lymph in the lymphatic vessels; swallowing food through the esophagus; the movement of chyme in the gastrointestinal tract; ovum movement in the fallopian tube; vasomotion of small blood vessels such as venules, capillaries, and arterioles; and also in sanitary fluid transportation of corrosive fluids. Many modern mechanical devices have been designed on the principal of the peristaltic pumping for transporting fluids without internal moving parts, for example, the blood pump in the heart-lung machine and the peristaltic transport of noxious fluid in nuclear industry. For more details in this direction see, for example, [122].

The study of magnetohydrodynamics flows with Hall currents has important engineering applications in problems of magnetohydrodynamic generators and of Hall accelerators as well as in flight magnetohydrodynamics. Siddiqui et al. [23], studied effects of Hall current and heat transfer on MHD flow of a Burgers fluid due to a pull of eccentric rotating disks. Hall effects on peristaltic flow of a Maxwell fluid in a porous medium have been studied by Hayat et al. [24]. Hayat et al. [25], studied effects of Hall current and heat transfer on rotating flow of a second grade fluid through a porous medium. The effect of Hall currents on interaction of pulsatile and peristaltic transport induced flows of a particle fluid suspension that had been examined by Gad [26]. Recently the analytical solution for Hall and ion-slip effects on mixed convection flow of couple stress fluid between parallel disks is considered by Srinivasacharya and Kaladhar [27]. Narayana et al. [28] studied the effects of Hall current and radiation absorption on MHD micropolar fluid in a rotating system.

Nanofluid is a fluid containing nanometer-sized particles, called nanoparticles. These fluids are engineered colloidal suspensions of nanoparticles in a base fluid. The nanoparticles used in nanofluids are typically made of metals (Al, Cu), oxides , carbides (SiC), nitrides (AlN, SiN), or nonmetals (Graphite, carbon nanotubes) and the base fluid is usually a conductive fluid, such as water or ethylene glycol. Other base fluids are oil and other lubricants, biofluids, and polymer solutions. Nanoparticles range in diameter between 1 and 100 nm. Nanofluids commonly contain up to a volume fraction of nanoparticles to ensure effective heat transfer enhancements. Nanofluids have novel properties that make them potentially useful in many applications in heat transfer, including microelectronics, fuel cells, pharmaceutical processes, and hybrid-powered engines. In engineering devices it has been widely used for engine cooling/vehicle thermal management, domestic refrigerator, chiller, heat exchanger, and nuclear reactor; in grinding, in machining, in space, defense, and ships; and in boiler flue gas temperature reduction.

Nowadays, there is a continuous focus of the researchers in the flow analysis of nanofluids because of, in addition to, the above mentioned applications these fluids enhance thermal conductivity of the base fluid enormously, which is beyond the explanation of any existing theory. They are also very stable and have no additional problems, such as sedimentation, erosion, and additional pressure drop. Choi [29] was the first who initiated this nanofluid technology. A detailed analysis of nanofluids was discussed by Buongiorno [30]. Khan and Pop [31] considered the boundary layer flow of a nanofluid passing a stretching sheet. Recently, Mustafa et al. [32] examined the influence of wall properties on the peristaltic flow of a nanofluid. The endoscopic effects on peristaltic flow of a nanofluid are introduced by Akbar and Nadeem [33]. The same authors Akbar and Nadeem studied the peristaltic flow of a Phan-Thien-Tanner nanofluid in a diverging tube [34]. Akbar et al. [35, 36] studied peristaltic flow of a nanofluid with slip effects and peristaltic flow of a nanofluid in a nonuniform tube.

To the best of the author’s knowledge, no attempt is available in the literature which deals with the peristalsis of nanofluid including the Hall effect through a porous medium. Even the study of peristaltic flow of an electrically conducting nanofluid in a porous medium is not available. Also, the study of peristaltic flow of a nanofluid through a porous medium with Hall effects has not been made yet. The present study fills the gap in these directions.

The aim of this work is to investigate the peristaltic flow of an electrically conducting nanofluid in a vertical asymmetric channel through a porous medium with constant permeability. Modified Darcy’s law for a nanofluid including the Hall current has been used for the modeling. In fact, the Hall effect is important when the Hall parameter is high. This happens when the magnetic field is strong. In most cases, the Hall term has been ignored in applying Ohm’s law as it has no marked effects for small and moderate values of the magnetic field. However, the current trend in the application of magnetohydrodynamics is towards a strong magnetic field, so that the influence of electromagnetic force is noticeable. Under these conditions, the Hall current is important and it has marked effects on the magnitude and direction of the current density and consequently on the magnetic-force term. Therefore, it is important to study the effect of the Hall current on the flow. The governing equations of motion, energy, and nanoparticles for nanofluids have been reduced under the assumption of long wavelength and low Reynolds number. The reduced equations are then solved analytically via homotopy perturbation method [3739]. The physical behaviors of emerging parameters are discussed through graphs. At the end the trapping phenomenon is discussed.

2. Problem Formulation

Consider the peristaltic flow of an incompressible viscous electrically conducting nanofluid in a two-dimensional vertical asymmetric channel of width through a porous medium. Asymmetry in the channel is produced by assuming the peristaltic wave trains propagating with constant speed along the walls ( is the right hand side wall and is the left hand side wall) to have different amplitudes and phases as shown in Figure 1. The shapes of the channel walls are represented as where , are the amplitudes of the right and left waves, is the wave length, and is the phase difference. Further, , , , , and satisfy the following inequality: so that the walls will not intersect with each other. A uniform magnetic field with magnetic flux density vector is applied; the induced magnetic field is neglected by taking a very small magnetic Reynolds number. The expression for the current density including the Hall effect and neglecting ion-slip and thermoelectric effects is given by [40] where is the current density, is the electric conductivity of the fluid, is the velocity vector, and is the Hall parameter. It is also assumed that (since there is no applied polarization voltage), is the electric charge and is the number density of electrons. The heat transfer and nanoparticle processes are maintained by considering temperatures , and nanoparticle phenomena , to the right and left sides walls of the channel, respectively. The fundamental equations governing this model [41] together with the generalized Ohm’s law taking the effects of Hall currents and Maxwell’s equations into account are where is the pressure, is the permeability parameter, is the dynamic viscosity coefficient, is the body forces, is the Laplacian operator, is the material derivative, is the time, is the density of the fluid, is the density of the particle, is the temperature of the fluid, is the volumetric volume expansion, is the nanoparticle phenomena, the ambient values of and as tends to are denoted by and , is the Brownian diffusion coefficient, and is the thermophoretic diffusion coefficient.

The equations governing the two-dimensional motion of this model are where and are the velocity components in the laboratory frame . Following Shapiro et al. [3] we introduce a wave frame of reference moving with velocity in which the motion becomes independent of time when the channel is an integral multiple of the wavelength and the pressure difference at the the ends of the channel is a constant. The transformation from the laboratory frame of reference to the wave frame of reference is given by where , and , are the velocity components and pressure in the wave and laboratory frames of reference, respectively. The pressure remains a constant across any axial station of the channel under the assumption that the wavelength is large and the curvature effects are negligible.

The following are nondimensional variables: where is the Reynolds number, is the dimensionless wave number, is the porosity parameter, is the Prandtl number, is the Brownian motion parameter, is the thermophoresis parameter, is the local temperature Grashof number, is the local nanoparticle Grashof number, and is the magnetic parameter. Using (6) and (7) together with the stream function defined by in (5), adopting the long wave length and low Reynolds number assumptions, we get the following: Eliminating the pressure gradient between (9) and (10) we get where

The corresponding boundary conditions are where and , , , and satisfy the relation And, is the dimensionless average flux in the wave frame defined by

3. Method of Solution

3.1. Homotopy Perturbation Method

The homotopy perturbation method is a combination of the perturbation method and the homotopy method which eliminates the drawbacks of the traditional perturbation methods while keeping all their advantages. On the basis of the homotopy perturbation method [3739] we can write (11) and (12) as follows: Or with as the linear operator, the initial approximations and can be defined as And assume that The solution of temperature and nanoparticle phenomenon (for ) are constructed by adopting the same procedure as done by [3739] where Substituting (23) in (13), the exact solution for velocity is And the pressure gradient is The dimensionless pressure rise is given by where

When calculating the constants , , , and we used the mathematica program.

4. Results and Discussion

In this section we have studied the velocity, pressure gradient, pressure rise, temperature, and nanoparticle phenomena graphically. The effects of Hall parameter , porosity parameter , thermophoresis parameter , and local temperature Grashof number on the velocity profile have been displayed in Figure 2. Figures 2(a) and 2(b) declare that velocity profile increases with an increase in the value of each of and , Figure 2(c) announces that the velocity near the channel walls are not similar in view of , and the velocity decreases by increasing . In Figure 2(d) it is found that the velocity field increases in the region and it decreases in the region with an increase in . Figures 3(a) to 3(d) examine the pressure gradient for different values of Hall parameter , porosity parameter , amplitude of right wave , and local nanoparticle Grashof number . It is observed that the magnitude of pressure gradient decreases in view of an increase in and Figures 3(a) and 3(b). The situation is reversed in Figures 3(c) and 3(d), the magnitude of pressure gradient increases with an increase in and . The pressure rise versus volume flow rate is shown in Figures 4(a) to 4(d). It is noticed from Figures 4(a) and 4(c) that in in the peristaltic pumping region , the pressure rise increases with an increase in Hall parameter and porosity parameter , while decreases in the augmented pumping region . Free pumping region holds when . It is also noticed that the pressure rise is an increasing function of the increase in local temperature Grashof number (Figure 4(b)); moreover, by increasing the value of Brownian motion parameter , the pressure rise is a decreasing function (Figure 4(d)). Figures 5 and 6 demonstrate the variation of temperature profile and nanoparticle phenomena for different values of thermophoresis parameter and Brownian motion parameter . Here the temperature profile decreases when and are increased and nanoparticle phenomenon decreases by increasing , while it increases when is increased.

5. Trapping Phenomenon

The formation of an internally circulating bolus of fluid is called trapping. The trapped bolus moves along with the wave. The effects of Hall parameter and Brownian motion parameter on trapping can be observed through Figure 7, where the number of trapping bolus increases with an increase in and in the left half of the channel. Figure 8 depicts that increasing the local temperature Grashof number leads to a decrease in the number of trapping bolus in the left half of the channel but it increases in both the left and right halves of the channel with an increase in the porosity parameter .