The Onset of Buoyancy and Surface Tension Driven Convection in a Ferrofluid Layer by Influence of General Boundary Conditions ()
1. Introduction
Until recently, there were liquids which could be magnetized to be comparable with the magnetization of magnetic nanoparticles. They have developed colloidal suspensions containing magnetic nanoparticles with a carrier liquid like water, hydrocarbon such as mineral oil or kerosene, or fluorocarbon referred as ferrofluids (FFs). Hence, FFs subjects have obtained much attention among the scientific communities [1] [2] [3] [4]. The magnetization of FFs depends on its magnetic field, temperature and density. Whereas when a horizontal FF layer is present with a magnetic field, it is heated from below and convective motions might take place which is called as FTC [5].
Thereby, FTC can also be induced by providing surface-tension and later with the function of temperature. Qin and Kaloni [6] have investigated both linear and non-linear stability of combined effects of buoyancy and surface tension forces in a FF layer. Hennenberg et al. [7] have examined the coupling effects on Marangoni and Rosensweig instabilities by considering two semi-infinite immiscible and incompressible viscous fluids. The results of different basic temperature gradients on FTC which is driven by buoyancy and surface tension forces discussed by Shivakumara et al. [8] with an plan following indulgent control of FTC concept. Shivakumara and Nanjundappa [9] have also examined the initiation of Marangoni FTC with differing initial temperature gradients. A very less number of researches address the effects of Bouyancy and surface tension forces on FTC (see [10] [11] ) with viscosity variations ( [12] [13] [14] [15] ), heat source strength ( [16] [17] ) and Coriolis force ( [18] [19] in a FF layer. Later, Shivakumara et al. [20] studied the onset of FTC in a horizontal FF layer with temperature dependent viscosity in exponentially. In many natural phenomena, the study of penetrative FTC in a saturated porous layer is studied by Nanjundappa et al. [21] with the internal heating source and applied Brinkman extended Darcy model in the momentum equation. Nanjundappa and co-workers ( [22] [23] [24] ) analyzed the internal heat generation effect on the onset of FTC in a FF saturated porous layer. Recently, Savitha et al. [25] investigated the penetrative FTC in a FF-saturated high porosity anisotropic porous layer via uniform internal heating.
The intent of the present work is to investigate Bénard-Marangoni FTC in a FF layer due to influence of general boundary conditions. The numerically Galerkin technique (GT) and analytically regular perturbation technique (RPT) are applied for solving the problem of eigenvalue when both the surfaces insulated to temperature perturbations.
2. Formulation of the Problem
Consider an incompressible FF horizontal layer of thickness d with temperatures
(
) and
(
). WhereT is the temperature,
is the conductive thermal flux,
the overall thermal conductivity,
the heat transfer coefficient and
the temperature in the bulk of the environment.
Cartesian coordinates
system are chosen (see Figure 1). Gravity acts vertically downwards and is given by
, where
is the unit vector in the z-direction. The layer is bounded below by a rigid surface and above by a non-deformable free surface. At the upper free surface, the surface tension
is assumed to vary linearly with temperature in the form
(1)
where
is the unperturbed value and
is the rate of change of surface tension with temperature T. The fluid density
is assume to vary linearly with temperature in the form
(2)
where
is the thermal expansion coefficient and
is the density at
. The governing equations for the flow of an incompressible fluid are
(3)
where
is the velocity vector.
(4)
where p is the pressure, t is the time and
the magnetic permeability of vacuum.
(5)
where C is the specific heat,
is the specific heat at constant volume and magnetic field, and
is the Laplacian operator.
The magnetic field (
) in magnetic fluid obeys the Maxwell equations in the absence electric field and current are
,
or
(6a,b)
where
is the magnetic induction and
is the magnetic potential.
(7)
Since the magnetization (
) depends on the magnitude of magnetic field and temperature, we have
. (8)
The linearized equation of magnetic state about
and
is
(9)
where
is the magnetic susceptibility,
is the pyromagnetic co-efficient and
.
It is clear that there exists the following solution for the basic state:
,
,
,
(10)
where
is the temperature gradient and the subscript b denotes the basic state.
To study the stability of the system, we perturb all the variables in the form
(11)
where
,
,
,
and
are perturbed variables and are assumed to be small.
Substituting Equation (11) into Equations (8) and (9), and using Equation (7), we obtain (after dropping the primes)
(12)
Again substituting Equation (11) into momentum Equation (4), linearizing, eliminating the pressure term by operating curl twice and using Equation (12) the z-component of the resulting equation can be obtained as (after dropping the primes):
(13)
where
is the horizontal Laplacian operator. The temperature Equation (5), after using Equation (11) and linearizing, takes the form (after dropping the primes):
(14)
where
. Equations 6(a, b), after substituting Equation (11) and using Equation (12), may be written as (after dropping the primes)
. (15)
The normal mode expansion of the dependent variables is assumed in the form
(16)
where
and m are wave numbers in the x and y directions, respectively, and
is the growth rate with is complex. On substituting Equation (16) into Equations (13)-(15) and non-dimesionalizing the variables by setting
(17)
where
is the kinematic viscosity and
is the effective thermal diffusivity, we obtain (after dropping the asterisks for simplicity)
(18)
(19)
(20)
Here,
are respectively the z-component perturbed amplitudes of velocity, temperature and magnetization term. In addition
differential operator,
wave number,
thermal Rayleigh number,
magnetic number,
magnetic thermal Rayleigh number,
magnetic parameter,
magnetization nonlinearity parameter and
Prandtl number.
We impose the boundary conditions (see Ref. [5] [12] [26] ):
(21)
(22)
or
(23)
where,
the Marangoni number and
the Biot number.
3. Numerical Solution
The Galerkin method is applied to solve the problem of eigenvalue constituted by Equations (18)-(20) subject to Equations (21)-(23) and accordingly the expanded unknown variables are
(24)
where
are constants and basis functions
are trial chosen usually satisfying the considered boundary conditions as follows
(25)
By introducing Equation (25) into Equations (18)-(20), multiplying the resulting equations respectively by
and
, integrating between
and
and using Equations (21)-(23) yields
(26)
(27)
(28)
where
,
,
with
Equations (26)-(28) may have a solution of non-trivial solution if
(29)
It would be informative to seem at the results for
as it gives adequate physical insight into the problem with minimum mathematical computations. For this order, Equation (29) in terms of
gives the following characteristic equation (after omitting the subscript 1)
(30)
where
,
and
.
To stability of the system is examined by taking
in Equation (30) and the complex quantities have to be clearly yields
(31)
where
.
The steady onset (i.e., direct bifurcation) is governed by
and it occurs at, where
(32)
4. Numerical Results and Discussion
Equation (29) leads to characteristic equation
. (33)
Here we note that the minimum of corresponding to is to be found that for various physical parameters and. Mathematica 12.0 symbolic algebraic package is applied to compute numerically by Galerkin method for fixing the other parameters with three sets of boundary combinations. The value of obtained here are compared with Sparrow et al. [27]. The results established are in admirable agreement and thus validate the exactness of the numerical technique utilized (see Table 1).
The loci of and with, and are shown in Figures 2(a)-4(a) respectively as well as different magnetic boundaries at the upper surfaces like and at. It is noticeable that, curves are slightly convex and there is a strong coupling between and. If the magnetic force is leading, then the surface tension becomes insignificant and vice-versa. A review of Figure 2(a), further reveals that with increase in it delays the FTC. This may be attributed to fact that with increasing, the free surface gets deviated from good conductor of heat and there is an increase in and. Also surfaces offer more stabilizing effect compared to against FTC. Figure 2(b) illustrates that increasing in as increases, hence its effect is to diminish the size of convection cells.
In Figure 3(a), and presented with when and . This is expected that an increase in is to decrease and, thus leads to a more unstable system due to an increase in magnetic force. Moreover, it is remarkable and are diminishes as increases. From Figure 3(b), increase is to increase, thus leading to diminish the convection cell size..
The effect of increase in M3 is shown in Figure 4(a) for and it is
observed the stability parameters and decreases as increasing M3, thus the mechanism of magnetization non-linearity parameter has a destabilizing effect on the system. Nonetheless, and are found to be independent of for. While the value of decreases as increasing in and thus the effect is to enlarge size of convection cells.
5. Conclusions
The influence of general boundary conditions on buoyancy and surface tension-driven FTC in a FF layer is investigated numerically Galrkin technique based on weighted residual technique. The following conclusions were resulting:
· The initiation of FTC is inhibited with increasing Biot number.
· The magnetic parameter and fluid magnetization non-linearity parameter hasten the FTC.
· The magnetic bounding surfaces offer more stabilizing while surfaces offer least stable effects against FTC. i.e.
.
· The critical value () for is always higher than those of remaining boundaries. i.e..