Numerical treatment for hydro-magnetic unsteady channel flow of nanofluid with heat transfer

Numerical treatment for hydro-magnetic unsteady channel flow of nanofluid with heat transfer

In this study, numerical treatment is performed to study the dynamical analysis of hydro-magnetic nanofluids problem for heat and mass transfer of an unsteady nanofluid flow between parallel plates by exploiting the strength of Adams and explicit Runge-Kutta method. Original PDEs of the model are tr...

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Main Authors: Saeed Ehsan Awan, Zuhaib Ashfaq Khan, Muhammad Awais, Saeed Ur Rehman, Muhammad Asif Zahoor Raja
Format: Article
Language:English
Published: Elsevier 2018-06-01
Series:Results in Physics
Online Access:http://www.sciencedirect.com/science/article/pii/S221137971830130X
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spelling doaj-d75565749fe641c69b1f74d9586c538f2020-11-25T01:18:36ZengElsevierResults in Physics2211-37972018-06-01915431554Numerical treatment for hydro-magnetic unsteady channel flow of nanofluid with heat transferSaeed Ehsan Awan0Zuhaib Ashfaq Khan1Muhammad Awais2Saeed Ur Rehman3Muhammad Asif Zahoor Raja4Department of Electrical Engineering, COMSATS Institute IT, Attock 43600, Pakistan; Corresponding author.Department of Electrical Engineering, COMSATS Institute IT, Attock 43600, PakistanDepartment of Mathematics, COMSATS Institute IT, Attock 43600, PakistanDepartment of Electrical Engineering, COMSATS Institute IT, Attock 43600, PakistanDepartment of Electrical Engineering, COMSATS Institute IT, Attock 43600, PakistanIn this study, numerical treatment is performed to study the dynamical analysis of hydro-magnetic nanofluids problem for heat and mass transfer of an unsteady nanofluid flow between parallel plates by exploiting the strength of Adams and explicit Runge-Kutta method. Original PDEs of the model are transformed to equivalent system of ODEs by utilizing the similarity transformations. Numerical and graphical illustrations prove the validity of the proposed methods for number of scenarios of the system by considering different physical quantities such as the squeeze number, Nusselt number, Schmidt number, Hartmann number, thermophoretic parameter, Brownian motion parameter, and Eckert number. Keywords: Fluid dynamics, Nanotechnology, Thermophoresis, Numerical computing, Magnetohydrodynamicshttp://www.sciencedirect.com/science/article/pii/S221137971830130X
collection DOAJ
language English
format Article
sources DOAJ
author Saeed Ehsan Awan
Zuhaib Ashfaq Khan
Muhammad Awais
Saeed Ur Rehman
Muhammad Asif Zahoor Raja
spellingShingle Saeed Ehsan Awan
Zuhaib Ashfaq Khan
Muhammad Awais
Saeed Ur Rehman
Muhammad Asif Zahoor Raja
Numerical treatment for hydro-magnetic unsteady channel flow of nanofluid with heat transfer
Results in Physics
author_facet Saeed Ehsan Awan
Zuhaib Ashfaq Khan
Muhammad Awais
Saeed Ur Rehman
Muhammad Asif Zahoor Raja
author_sort Saeed Ehsan Awan
title Numerical treatment for hydro-magnetic unsteady channel flow of nanofluid with heat transfer
title_short Numerical treatment for hydro-magnetic unsteady channel flow of nanofluid with heat transfer
title_full Numerical treatment for hydro-magnetic unsteady channel flow of nanofluid with heat transfer
title_fullStr Numerical treatment for hydro-magnetic unsteady channel flow of nanofluid with heat transfer
title_full_unstemmed Numerical treatment for hydro-magnetic unsteady channel flow of nanofluid with heat transfer
title_sort numerical treatment for hydro-magnetic unsteady channel flow of nanofluid with heat transfer
publisher Elsevier
series Results in Physics
issn 2211-3797
publishDate 2018-06-01
description In this study, numerical treatment is performed to study the dynamical analysis of hydro-magnetic nanofluids problem for heat and mass transfer of an unsteady nanofluid flow between parallel plates by exploiting the strength of Adams and explicit Runge-Kutta method. Original PDEs of the model are transformed to equivalent system of ODEs by utilizing the similarity transformations. Numerical and graphical illustrations prove the validity of the proposed methods for number of scenarios of the system by considering different physical quantities such as the squeeze number, Nusselt number, Schmidt number, Hartmann number, thermophoretic parameter, Brownian motion parameter, and Eckert number. Keywords: Fluid dynamics, Nanotechnology, Thermophoresis, Numerical computing, Magnetohydrodynamics
url http://www.sciencedirect.com/science/article/pii/S221137971830130X
work_keys_str_mv AT saeedehsanawan numericaltreatmentforhydromagneticunsteadychannelflowofnanofluidwithheattransfer
AT zuhaibashfaqkhan numericaltreatmentforhydromagneticunsteadychannelflowofnanofluidwithheattransfer
AT muhammadawais numericaltreatmentforhydromagneticunsteadychannelflowofnanofluidwithheattransfer
AT saeedurrehman numericaltreatmentforhydromagneticunsteadychannelflowofnanofluidwithheattransfer
AT muhammadasifzahoorraja numericaltreatmentforhydromagneticunsteadychannelflowofnanofluidwithheattransfer
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