Symbolic solution to magnetohydrodynamic hiemenz flow in porous media

Seripah Awang Kechil, Ishak Hashim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A system of nonlinear ordinary differential equations governing the boundary layers of magnetohydrodynamic (MHD) Hiemenz flow in porous media is solved using a simple and efficient analytical technique of Adomian decomposition method (ADM) and Padé approximant through the computer algebra package system Maple. Several symbolic features of the Maple system are utilized to develop specific routines that compute the approximate analytical solutions of the stream, velocity and temperature functions for some exemplary prescribed parameters. Comparative study shows the well agreement of the present symbolic results with the existing numerical results.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages213-223
Number of pages11
Volume5081 LNAI
DOIs
Publication statusPublished - 2008
Event8th Asian Symposium on Computer Mathematics, ASCM 2007 -
Duration: 15 Dec 200717 Dec 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5081 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th Asian Symposium on Computer Mathematics, ASCM 2007
Period15/12/0717/12/07

Fingerprint

Magnetohydrodynamic Flow
Flow in Porous Media
Magnetohydrodynamics
Ordinary differential equations
Algebra
Porous materials
Boundary layers
Maple
Decomposition
Adomian Decomposition Method
Computer Algebra
Nonlinear Ordinary Differential Equations
Temperature
Comparative Study
Boundary Layer
Analytical Solution
Numerical Results

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Awang Kechil, S., & Hashim, I. (2008). Symbolic solution to magnetohydrodynamic hiemenz flow in porous media. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5081 LNAI, pp. 213-223). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5081 LNAI). https://doi.org/10.1007/978-3-540-87827-8_18

Symbolic solution to magnetohydrodynamic hiemenz flow in porous media. / Awang Kechil, Seripah; Hashim, Ishak.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5081 LNAI 2008. p. 213-223 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5081 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Awang Kechil, S & Hashim, I 2008, Symbolic solution to magnetohydrodynamic hiemenz flow in porous media. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5081 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5081 LNAI, pp. 213-223, 8th Asian Symposium on Computer Mathematics, ASCM 2007, 15/12/07. https://doi.org/10.1007/978-3-540-87827-8_18
Awang Kechil S, Hashim I. Symbolic solution to magnetohydrodynamic hiemenz flow in porous media. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5081 LNAI. 2008. p. 213-223. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-87827-8_18
Awang Kechil, Seripah ; Hashim, Ishak. / Symbolic solution to magnetohydrodynamic hiemenz flow in porous media. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5081 LNAI 2008. pp. 213-223 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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