A Numerical Analysis of 2D Unsteady Magnetohydrodynamics Nanofluid Flow Through an Exponentially Accelerated Vertical Plate with Variable Viscosity by Using Explicit Finite Difference Method

2019 ◽  
Vol 11 (12) ◽  
pp. 1238-1248
Author(s):  
R. Biswas

This paper discusses the numerical investigation of viscous incompressible nanofluid on unsteady magnetohydrodynamics (MHD) chemically radioactive flow through an exponentially accelerated porous plate with variable viscosity. A system of governing nonlinear partial differential equations (PDEs) is transformed into ordinary differential equations (ODEs) by the as usual mathematical technique of transformation. Then, the obtained non-dimensional nonlinear partial differential equations (PDEs) are solved by using explicit finite difference technique (EFDM). Besides, the numerical results are calculated by FORTRAN programming language. In order to accuracy of numerical investigation a convergence stability test (NCT) has been carried out where we have obtained the convergence criteria of Prindtl number Pr ≥ 0.47; thermophoresis parameter Nt ≥ 0.80 and Lewis number Le ≥ 0.28 when initial boundary conditions U = T = C = 0 and for Δτ = 0.0005, ΔX = 0.50 and ΔY = 0.50. After those convergence criteria, the numerical solutions for velocity, temperature and concentration profiles are obtained for various dimensionless parameters. Those solutions are graphically discussed by using the tecplot-9 software. Moreover, the skin friction coefficient, Nusselt number, Sherwood number, Isotherms and Streamline are also investigated by tabular form.

2019 ◽  
Vol 24 (2) ◽  
pp. 411-423
Author(s):  
M. Sharma ◽  
R.K. Gaur ◽  
B.K. Sharma

Abstract A mathematical model for MHD blood flow through a stenosed artery with Soret and Dufour effects in the presence of thermal radiation has been studied. A uniform magnetic field is applied perpendicular to the porous surface. The governing non-linear partial differential equations have been transformed into linear partial differential equations, which are solved numerically by applying the explicit finite difference method. The numerical results are presented graphically in the form of velocity, temperature and concentration profiles. The effects of various parameters such as the Reynolds number, Hartmann number, radiation parameter, Schmidt number and Prandtl number, Soret and Dufour parameter on the velocity, temperature and concentration have been examined with the help of graphs. The present results have an important bearing on the therapeutic procedure of hyperthermia, particularly in understanding/regulating blood flow and heat transfer in capillaries.


Author(s):  
Hira Mehboob ◽  
Khadija Maqbool ◽  
Abdul Majeed Siddiqui ◽  
Farah Awan

This study investigates the effect of variable viscosity (exponential and linear) and constant reabsorption for the urine flow through a narrow tube. The inertial free flow of viscous fluid has been governed by the momentum and mass conservation through the cross-section of axisymmetric tube. The governing partial differential equations have been simplified with the help of stream function and stress components with exponential and linear variable viscosity. The resulting partial differential equations have been solved by the inverse method and give the explicit expressions for velocity, pressure, shear stress, flux and leakage of flow. It has been observed that flow in transverse direction increases with the increase in reabsorption velocity at wall, whereas horizontal flow, shear stress and volume flow rate become slow with the increase in uniform reabsorption velocity. Effect of viscosity is significant near the walls of tube because the axial velocity accelerates by increasing viscosity parameter due to the pressure gradient near the center of tube but it decelerates near the walls of tube due to surface friction. Also, the special case of variable viscosity is discussed by assuming the linear type of viscosity. The derived data for the velocity and flow rate have been used to measure the fractional reabsorption in proximal tube with varying viscosity near the wall.


1973 ◽  
Vol 13 (03) ◽  
pp. 125-138 ◽  
Author(s):  
C.L. McMichael ◽  
G.W. Thomas

Abstract Multidimensional multiphase flow of compressible fluids is characterized by a set of nonlinear partial differential equations. Their solution is normally achieved numerically through the use of a finite-difference scheme. Not all reservoir problems, however, are readily amenable to such treatment and recently an alternate approach; Galerkin's method, has been employed. Until now, the application of this technique has been limited to one- and two-phase systems in at most two dimensions. The primary thrust of this work was to investigate the feasibility of using Galerkin's method on three-phase, multidimensional, compressible flow problems. A reservoir simulation model that treats problems. A reservoir simulation model that treats the reservoir as a nonhomogeneous, irregularly bounded system has been developed. Since this work was primarily concerned with the feasibility of Galerkin simulation, no attempt was made to study a wide spectrum of reservoir problems. However, a few typical applications are presented and some of the results are compared with those derived from a finite-difference simulator. This work shows that the use of Galerkin's method is feasible and that, in many cases, it results in solutions that are more realistic than those from a finite-difference model. There are, however, certain disadvantages. For example, the computational time and programming effort are usually in excess of programming effort are usually in excess of that required by a finite-difference scheme. Even so, it is felt that the potential of the technique is sufficient justification for this work and for a continuing effort to apply it to reservoir simulation problems. Introduction Within the last 20 years, the oil industry has experienced a rapid growth in reservoir engineering technology, stimulated by a desire to maximize recoveries from known reserves. It has been characterized by efforts to predict reservoir behavior in a more realistic manner than in the past. Thus the "tank" concept of a reservoir is now considered inadequate when one desires a model that will reflect the presence of wells and reservoir heterogeneities and that will also simulate unsteady-state flow behavior. This trend toward more realistic descriptions has culminated in treating coupled systems of nonlinear partial differential equations describing multiphase, multidimensional flow in porous media. In the late 1950's and early 1960's the mathematical apparatus was developed to solve such systems of equations. Primarily, the methods referred to rely upon Primarily, the methods referred to rely upon reducing the partial differential equations to algebraic systems by means of finite-difference approximations. While some success has been enjoyed with these techniques, not all reservoir problems are readily amenable to such treatment. For example, those regimes that give rise to shock-front development or involve convective dispersion are usually poor candidates for standard finite-difference treatment. In such cases, one must resort to special computational techniques that frequently are impractical to implement in a field-scale simulator. Since finite - difference approaches involve discretizing both the dependent and the independent variables, only a discrete solution in time and space is obtained. This is frequently a disadvantage when, for example, one would like to predict accurately the behavior of bottom-hole well pressures with time. pressures with time. Recognition of the problems cited above has led to a search for alternative approaches. Among the more promising are protection methods and, in particular, Galerkin's method. With Galerkin's particular, Galerkin's method. With Galerkin's procedure, one obtains continuous solutions in procedure, one obtains continuous solutions in space much like an analytical expression. Furthermore, by appropriate selection of basis functions, one can even achieve continuity in the derivatives. Thus the method lends itself to problems where sharp gradients occur, either in problems where sharp gradients occur, either in saturation or in pressure. The purpose of this work was to determine the feasibility of Galerkin's method in treating multidimensional, three-phase flow in nonhomogeneous, irregularly bounded systems containing multiple wells. The mathematical formulation for reducing the system of differential equations to a set of algebraic equations is presented. SPEJ P. 125


Author(s):  
RATIKANTA BEHERA ◽  
MANI MEHRA

In this paper, we apply wavelet optimized finite difference method to solve modified Camassa–Holm and modified Degasperis–Procesi equations. The method is based on Daubechies wavelet with finite difference method on an arbitrary grid. The wavelet is used at regular intervals to adaptively select the grid points according to the local behaviour of the solution. The purpose of wavelet-based numerical methods for solving linear or nonlinear partial differential equations is to develop adaptive schemes, in order to achieve accuracy and computational efficiency. Since most of physical and scientific phenomena are modeled by nonlinear partial differential equations, but it is difficult to handle nonlinear partial differential equations analytically. So we need approximate solution to solve these type of partial differential equation. Numerical results are presented for approximating modified Camassa–Holm and modified Degasperis–Procesi equations, which demonstrate the advantages of this method.


1999 ◽  
Vol 4 (1) ◽  
pp. 70-78 ◽  
Author(s):  
S. K. Dey

Most explicit finite difference schemes have very stringent stability criterion. In 1982, Charlie Dey [1] developed a novel method and solved several partial differential equations representing models of fluid flow. (He was then only 10 years old). Recent mathematical analysis shows that this relatively simple method is quite powerful to solve any flow model if it has a steady‐state solution using a stability criterion which is a lot less stringent than most explicit finite difference schemes generally applied in Computational Fluid Dynamics [2].


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