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Lie group analysis and robust computational approach to examine mass transport process using Jeffrey fluid model.

Authors :
Bhatti, Muhammad Mubashir
Jun, Shen
Khalique, Chaudry Masood
Shahid, Anwar
Fasheng, Liu
Mohamed, Mohamed S.
Source :
Applied Mathematics & Computation. May2022, Vol. 421, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

• On the Jeffrey fluid model, chemically reactive mass transport mechanisms in the presence of extrinsic magnetic impact have been investigated. • Lie group transformations are used to formulate the mathematical modeling of momentum and concentration equations. • A robust numerical technique known as successive linearization approach (SLM) is used to solve the nonlinear coupled formulated equations. • This technique provides more efficient results compared with other similar methods. • A numerical comparison is also made between the proposed technique and Bvp4c (built-in command in Matlab). This article deals with the chemically reactive mass transport mechanism on the Jeffrey fluid model in the presence of extrinsic magnetic impact. The fluid is moving through a permeable medium. Lie group transformations are used to formulate the mathematical modeling of momentum and concentration equations. A robust numerical technique known as successive linearization approach (SLM) is used to solve the nonlinear coupled formulated equations. This technique shows more efficient results compared with other similar methods. The numerical results are plotted against all the leading parameters and discussed with graphs and tables. A numerical comparison is also made between the proposed technique and Bvp4c (built-in command in Matlab) [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00963003
Volume :
421
Database :
Academic Search Index
Journal :
Applied Mathematics & Computation
Publication Type :
Academic Journal
Accession number :
155091832
Full Text :
https://doi.org/10.1016/j.amc.2022.126936