Numerical analysis for steady boundary layer flow of Maxwell fluid over a stretching surface embedded in a porous medium with viscous dissipation using the spectral relaxation method

2019 ◽  
pp. 1-7
Author(s):  
K. Gangadhar ◽  
M. Venkata Subba Rao ◽  
P. R. Sobhana Babu
Keyword(s):  
Boundary Layer ◽  
Porous Medium ◽  
Numerical Analysis ◽  
Boundary Layer Flow ◽  
Relaxation Method ◽  
Maxwell Fluid ◽  
Stretching Surface ◽  
Spectral Relaxation Method ◽  
Layer Flow ◽  
Spectral Relaxation

scholarly journals Spectral Relaxation Method and Spectral Quasilinearization Method for Solving Unsteady Boundary Layer Flow Problems

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
S. S. Motsa ◽  
P. G. Dlamini ◽  
M. Khumalo
Keyword(s):  
Boundary Layer ◽  
Boundary Layer Flow ◽  
Relaxation Method ◽  
Nonlinear Pdes ◽  
Quasilinearization Method ◽  
Unsteady Boundary Layer ◽  
Flow Problems ◽  
Spectral Relaxation Method ◽  
Layer Flow ◽  
Spectral Relaxation

Nonlinear partial differential equations (PDEs) modelling unsteady boundary-layer flows are solved by the spectral relaxation method (SRM) and the spectral quasilinearization method (SQLM). The SRM and SQLM are Chebyshev pseudospectral based methods that have been successfully used to solve nonlinear boundary layer flow problems described by systems of ordinary differential equations. In this paper application of these methods is extended, for the first time, to systems of nonlinear PDEs that model unsteady boundary layer flow. The new extension is tested on two problems: boundary layer flow caused by an impulsively stretching plate and a coupled four-equation system that models the problem of unsteady MHD flow and mass transfer in a porous space. Numerous simulation experiments are conducted to determine the accuracy and compare the computational performance of the proposed methods against the popular Keller-box finite difference scheme which is widely accepted as being one of the ideal tools for solving nonlinear PDEs that model boundary layer flow problems. The results indicate that the methods are more efficient in terms of computational accuracy and speed compared with the Keller-box.

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