Cargando…

Modeling of entropy optimization for hybrid nanofluid MHD flow through a porous annulus involving variation of Bejan number

We numerically investigate the non-Darcy magnetohydrodynamic hybrid nanoparticle migration through a permeable tank using control volume finite element method through entropy generation. The roles of various amounts of Permeability, Lorentz and Rayleigh (Ra) number are investigated upon the various...

Descripción completa

Detalles Bibliográficos
Autores principales: Shah, Zahir, Sheikholeslami, M., Kumam, Poom, Ikramullah, Shafee, Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393077/
https://www.ncbi.nlm.nih.gov/pubmed/32732958
http://dx.doi.org/10.1038/s41598-020-69458-1
_version_ 1783564969210544128
author Shah, Zahir
Sheikholeslami, M.
Kumam, Poom
Ikramullah
Shafee, Ahmad
author_facet Shah, Zahir
Sheikholeslami, M.
Kumam, Poom
Ikramullah
Shafee, Ahmad
author_sort Shah, Zahir
collection PubMed
description We numerically investigate the non-Darcy magnetohydrodynamic hybrid nanoparticle migration through a permeable tank using control volume finite element method through entropy generation. The roles of various amounts of Permeability, Lorentz and Rayleigh (Ra) number are investigated upon the various aspects of the hybrid nanofluid flow through contour and 3-D plots. Through curve fitting technique, analytical expressions for Nu(ave) and Bejan number as functions of Ra, Ha and Da are obtained. It is found that the strength of the vortexes decline and temperature of the inner wall augments with the higher magnetic field, while temperature drops with increasing buoyancy forces and medium permeability. The irreversibility terms associated with the generation of the thermal energy and applied magnetic field (S(gen,th), S(gen,M)) enhance while the other terms (S(gen,f), S(gen,p)) drop with the rising values of the magnetic field strength. These quantities show exactly opposite behavior with augmenting Da. The Bejan number drops while Nu(ave) augments with the rising buoyancy forces. The agreement with the previous published results confirms the accuracy of the employed computational model.
format Online
Article
Text
id pubmed-7393077
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-73930772020-08-03 Modeling of entropy optimization for hybrid nanofluid MHD flow through a porous annulus involving variation of Bejan number Shah, Zahir Sheikholeslami, M. Kumam, Poom Ikramullah Shafee, Ahmad Sci Rep Article We numerically investigate the non-Darcy magnetohydrodynamic hybrid nanoparticle migration through a permeable tank using control volume finite element method through entropy generation. The roles of various amounts of Permeability, Lorentz and Rayleigh (Ra) number are investigated upon the various aspects of the hybrid nanofluid flow through contour and 3-D plots. Through curve fitting technique, analytical expressions for Nu(ave) and Bejan number as functions of Ra, Ha and Da are obtained. It is found that the strength of the vortexes decline and temperature of the inner wall augments with the higher magnetic field, while temperature drops with increasing buoyancy forces and medium permeability. The irreversibility terms associated with the generation of the thermal energy and applied magnetic field (S(gen,th), S(gen,M)) enhance while the other terms (S(gen,f), S(gen,p)) drop with the rising values of the magnetic field strength. These quantities show exactly opposite behavior with augmenting Da. The Bejan number drops while Nu(ave) augments with the rising buoyancy forces. The agreement with the previous published results confirms the accuracy of the employed computational model. Nature Publishing Group UK 2020-07-30 /pmc/articles/PMC7393077/ /pubmed/32732958 http://dx.doi.org/10.1038/s41598-020-69458-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Shah, Zahir
Sheikholeslami, M.
Kumam, Poom
Ikramullah
Shafee, Ahmad
Modeling of entropy optimization for hybrid nanofluid MHD flow through a porous annulus involving variation of Bejan number
title Modeling of entropy optimization for hybrid nanofluid MHD flow through a porous annulus involving variation of Bejan number
title_full Modeling of entropy optimization for hybrid nanofluid MHD flow through a porous annulus involving variation of Bejan number
title_fullStr Modeling of entropy optimization for hybrid nanofluid MHD flow through a porous annulus involving variation of Bejan number
title_full_unstemmed Modeling of entropy optimization for hybrid nanofluid MHD flow through a porous annulus involving variation of Bejan number
title_short Modeling of entropy optimization for hybrid nanofluid MHD flow through a porous annulus involving variation of Bejan number
title_sort modeling of entropy optimization for hybrid nanofluid mhd flow through a porous annulus involving variation of bejan number
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393077/
https://www.ncbi.nlm.nih.gov/pubmed/32732958
http://dx.doi.org/10.1038/s41598-020-69458-1
work_keys_str_mv AT shahzahir modelingofentropyoptimizationforhybridnanofluidmhdflowthroughaporousannulusinvolvingvariationofbejannumber
AT sheikholeslamim modelingofentropyoptimizationforhybridnanofluidmhdflowthroughaporousannulusinvolvingvariationofbejannumber
AT kumampoom modelingofentropyoptimizationforhybridnanofluidmhdflowthroughaporousannulusinvolvingvariationofbejannumber
AT ikramullah modelingofentropyoptimizationforhybridnanofluidmhdflowthroughaporousannulusinvolvingvariationofbejannumber
AT shafeeahmad modelingofentropyoptimizationforhybridnanofluidmhdflowthroughaporousannulusinvolvingvariationofbejannumber