Cargando…

Numerical Computation for Gyrotactic Microorganisms in MHD Radiative Eyring–Powell Nanomaterial Flow by a Static/Moving Wedge with Darcy–Forchheimer Relation

The intention of this study is to carry out a numerical investigation of time-dependent magneto-hydro-dynamics (MHD) Eyring–Powell liquid by taking a moving/static wedge with Darcy-Forchheimer relation. Thermal radiation was taken into account for upcoming solar radiation, and the idea of bioconvect...

Descripción completa

Detalles Bibliográficos
Autores principales: Ahmed, Muhammad Faizan, Zaib, A., Ali, Farhan, Bafakeeh, Omar T., Tag-ElDin, El Sayed Mohamed, Guedri, Kamel, Elattar, Samia, Khan, Muhammad Ijaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610982/
https://www.ncbi.nlm.nih.gov/pubmed/36296121
http://dx.doi.org/10.3390/mi13101768
_version_ 1784819413626650624
author Ahmed, Muhammad Faizan
Zaib, A.
Ali, Farhan
Bafakeeh, Omar T.
Tag-ElDin, El Sayed Mohamed
Guedri, Kamel
Elattar, Samia
Khan, Muhammad Ijaz
author_facet Ahmed, Muhammad Faizan
Zaib, A.
Ali, Farhan
Bafakeeh, Omar T.
Tag-ElDin, El Sayed Mohamed
Guedri, Kamel
Elattar, Samia
Khan, Muhammad Ijaz
author_sort Ahmed, Muhammad Faizan
collection PubMed
description The intention of this study is to carry out a numerical investigation of time-dependent magneto-hydro-dynamics (MHD) Eyring–Powell liquid by taking a moving/static wedge with Darcy-Forchheimer relation. Thermal radiation was taken into account for upcoming solar radiation, and the idea of bioconvection is also considered for regulating the unsystematic exertion of floating nanoparticles. The novel idea of this work was to stabilized nanoparticles through the bioconvection phenomena. Brownian motion and thermophoresis effects are combined in the most current revision of the nanofluid model. Fluid viscosity and thermal conductivity that depend on temperature are predominant. The extremely nonlinear system of equations comprising partial differential equations (PDEs) with the boundary conditions are converted into ordinary differential equations (ODEs) through an appropriate suitable approach. The reformed equations are then operated numerically with the use of the well-known Lobatto IIIa formula. The variations of different variables on velocity, concentration, temperature and motile microorganism graphs are discussed as well as force friction, the Nusselt, Sherwood, and the motile density organism numbers. It is observed that Forchheimer number [Formula: see text] decline the velocity field in the case of static and moving wedge. Furthermore, the motile density profiles are deprecated by higher values of the bio convective Lewis number and Peclet number. Current results have been related to the literature indicated aforementioned and are found to be great achievement.
format Online
Article
Text
id pubmed-9610982
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96109822022-10-28 Numerical Computation for Gyrotactic Microorganisms in MHD Radiative Eyring–Powell Nanomaterial Flow by a Static/Moving Wedge with Darcy–Forchheimer Relation Ahmed, Muhammad Faizan Zaib, A. Ali, Farhan Bafakeeh, Omar T. Tag-ElDin, El Sayed Mohamed Guedri, Kamel Elattar, Samia Khan, Muhammad Ijaz Micromachines (Basel) Article The intention of this study is to carry out a numerical investigation of time-dependent magneto-hydro-dynamics (MHD) Eyring–Powell liquid by taking a moving/static wedge with Darcy-Forchheimer relation. Thermal radiation was taken into account for upcoming solar radiation, and the idea of bioconvection is also considered for regulating the unsystematic exertion of floating nanoparticles. The novel idea of this work was to stabilized nanoparticles through the bioconvection phenomena. Brownian motion and thermophoresis effects are combined in the most current revision of the nanofluid model. Fluid viscosity and thermal conductivity that depend on temperature are predominant. The extremely nonlinear system of equations comprising partial differential equations (PDEs) with the boundary conditions are converted into ordinary differential equations (ODEs) through an appropriate suitable approach. The reformed equations are then operated numerically with the use of the well-known Lobatto IIIa formula. The variations of different variables on velocity, concentration, temperature and motile microorganism graphs are discussed as well as force friction, the Nusselt, Sherwood, and the motile density organism numbers. It is observed that Forchheimer number [Formula: see text] decline the velocity field in the case of static and moving wedge. Furthermore, the motile density profiles are deprecated by higher values of the bio convective Lewis number and Peclet number. Current results have been related to the literature indicated aforementioned and are found to be great achievement. MDPI 2022-10-18 /pmc/articles/PMC9610982/ /pubmed/36296121 http://dx.doi.org/10.3390/mi13101768 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ahmed, Muhammad Faizan
Zaib, A.
Ali, Farhan
Bafakeeh, Omar T.
Tag-ElDin, El Sayed Mohamed
Guedri, Kamel
Elattar, Samia
Khan, Muhammad Ijaz
Numerical Computation for Gyrotactic Microorganisms in MHD Radiative Eyring–Powell Nanomaterial Flow by a Static/Moving Wedge with Darcy–Forchheimer Relation
title Numerical Computation for Gyrotactic Microorganisms in MHD Radiative Eyring–Powell Nanomaterial Flow by a Static/Moving Wedge with Darcy–Forchheimer Relation
title_full Numerical Computation for Gyrotactic Microorganisms in MHD Radiative Eyring–Powell Nanomaterial Flow by a Static/Moving Wedge with Darcy–Forchheimer Relation
title_fullStr Numerical Computation for Gyrotactic Microorganisms in MHD Radiative Eyring–Powell Nanomaterial Flow by a Static/Moving Wedge with Darcy–Forchheimer Relation
title_full_unstemmed Numerical Computation for Gyrotactic Microorganisms in MHD Radiative Eyring–Powell Nanomaterial Flow by a Static/Moving Wedge with Darcy–Forchheimer Relation
title_short Numerical Computation for Gyrotactic Microorganisms in MHD Radiative Eyring–Powell Nanomaterial Flow by a Static/Moving Wedge with Darcy–Forchheimer Relation
title_sort numerical computation for gyrotactic microorganisms in mhd radiative eyring–powell nanomaterial flow by a static/moving wedge with darcy–forchheimer relation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610982/
https://www.ncbi.nlm.nih.gov/pubmed/36296121
http://dx.doi.org/10.3390/mi13101768
work_keys_str_mv AT ahmedmuhammadfaizan numericalcomputationforgyrotacticmicroorganismsinmhdradiativeeyringpowellnanomaterialflowbyastaticmovingwedgewithdarcyforchheimerrelation
AT zaiba numericalcomputationforgyrotacticmicroorganismsinmhdradiativeeyringpowellnanomaterialflowbyastaticmovingwedgewithdarcyforchheimerrelation
AT alifarhan numericalcomputationforgyrotacticmicroorganismsinmhdradiativeeyringpowellnanomaterialflowbyastaticmovingwedgewithdarcyforchheimerrelation
AT bafakeehomart numericalcomputationforgyrotacticmicroorganismsinmhdradiativeeyringpowellnanomaterialflowbyastaticmovingwedgewithdarcyforchheimerrelation
AT tageldinelsayedmohamed numericalcomputationforgyrotacticmicroorganismsinmhdradiativeeyringpowellnanomaterialflowbyastaticmovingwedgewithdarcyforchheimerrelation
AT guedrikamel numericalcomputationforgyrotacticmicroorganismsinmhdradiativeeyringpowellnanomaterialflowbyastaticmovingwedgewithdarcyforchheimerrelation
AT elattarsamia numericalcomputationforgyrotacticmicroorganismsinmhdradiativeeyringpowellnanomaterialflowbyastaticmovingwedgewithdarcyforchheimerrelation
AT khanmuhammadijaz numericalcomputationforgyrotacticmicroorganismsinmhdradiativeeyringpowellnanomaterialflowbyastaticmovingwedgewithdarcyforchheimerrelation