Cargando…

A time fractional model of a Maxwell nanofluid through a channel flow with applications in grease

Several scientists are interested in recent developments in nanotechnology and nanoscience. Grease is an essential component of many machines and engines because it helps keep them cool by reducing friction between their various elements. In sealed life applications including centralized lubrication...

Descripción completa

Detalles Bibliográficos
Autores principales: Khan, Naveed, Ali, Farhad, Ahmad, Zubair, Murtaza, Saqib, Ganie, Abdul Hamid, Khan, Ilyas, Eldin, Sayed M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023803/
https://www.ncbi.nlm.nih.gov/pubmed/36932142
http://dx.doi.org/10.1038/s41598-023-31567-y
_version_ 1784908962827599872
author Khan, Naveed
Ali, Farhad
Ahmad, Zubair
Murtaza, Saqib
Ganie, Abdul Hamid
Khan, Ilyas
Eldin, Sayed M.
author_facet Khan, Naveed
Ali, Farhad
Ahmad, Zubair
Murtaza, Saqib
Ganie, Abdul Hamid
Khan, Ilyas
Eldin, Sayed M.
author_sort Khan, Naveed
collection PubMed
description Several scientists are interested in recent developments in nanotechnology and nanoscience. Grease is an essential component of many machines and engines because it helps keep them cool by reducing friction between their various elements. In sealed life applications including centralized lubrication systems, electrical motors, bearings, logging and mining machinery, truck wheel hubs, construction, landscaping, and gearboxes, greases are also utilized. Nanoparticles are added to convectional grease to improve its cooling and lubricating properties. More specifically, the current study goal is to investigate open channel flow while taking grease into account as a Maxwell fluid with MoS(2) nanoparticles suspended in it. The Caputo-Fabrizio time-fractional derivative is used to convert the issue from a linked classical order PDE to a local fractional model. To determine the precise solutions for the velocity, temperature, and concentration distributions, two integral transform techniques the finite Fourier sine and the Laplace transform technique are jointly utilized. The resultant answers are physically explored and displayed using various graphs. It is important to note that the fractional model, which offers a variety of integral curves, more accurately depicts the flow behavior than the classical model. Skin friction, the Nusselt number, and the Sherwood number are engineering-related numbers that are quantitatively determined and displayed in tabular form. It is determined that adding MoS(2) nanoparticles to grease causes a 19.1146% increase in heat transmission and a 2.5122% decrease in mass transfer. The results obtained in this work are compared with published literature for the accuracy purpose.
format Online
Article
Text
id pubmed-10023803
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-100238032023-03-19 A time fractional model of a Maxwell nanofluid through a channel flow with applications in grease Khan, Naveed Ali, Farhad Ahmad, Zubair Murtaza, Saqib Ganie, Abdul Hamid Khan, Ilyas Eldin, Sayed M. Sci Rep Article Several scientists are interested in recent developments in nanotechnology and nanoscience. Grease is an essential component of many machines and engines because it helps keep them cool by reducing friction between their various elements. In sealed life applications including centralized lubrication systems, electrical motors, bearings, logging and mining machinery, truck wheel hubs, construction, landscaping, and gearboxes, greases are also utilized. Nanoparticles are added to convectional grease to improve its cooling and lubricating properties. More specifically, the current study goal is to investigate open channel flow while taking grease into account as a Maxwell fluid with MoS(2) nanoparticles suspended in it. The Caputo-Fabrizio time-fractional derivative is used to convert the issue from a linked classical order PDE to a local fractional model. To determine the precise solutions for the velocity, temperature, and concentration distributions, two integral transform techniques the finite Fourier sine and the Laplace transform technique are jointly utilized. The resultant answers are physically explored and displayed using various graphs. It is important to note that the fractional model, which offers a variety of integral curves, more accurately depicts the flow behavior than the classical model. Skin friction, the Nusselt number, and the Sherwood number are engineering-related numbers that are quantitatively determined and displayed in tabular form. It is determined that adding MoS(2) nanoparticles to grease causes a 19.1146% increase in heat transmission and a 2.5122% decrease in mass transfer. The results obtained in this work are compared with published literature for the accuracy purpose. Nature Publishing Group UK 2023-03-17 /pmc/articles/PMC10023803/ /pubmed/36932142 http://dx.doi.org/10.1038/s41598-023-31567-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Khan, Naveed
Ali, Farhad
Ahmad, Zubair
Murtaza, Saqib
Ganie, Abdul Hamid
Khan, Ilyas
Eldin, Sayed M.
A time fractional model of a Maxwell nanofluid through a channel flow with applications in grease
title A time fractional model of a Maxwell nanofluid through a channel flow with applications in grease
title_full A time fractional model of a Maxwell nanofluid through a channel flow with applications in grease
title_fullStr A time fractional model of a Maxwell nanofluid through a channel flow with applications in grease
title_full_unstemmed A time fractional model of a Maxwell nanofluid through a channel flow with applications in grease
title_short A time fractional model of a Maxwell nanofluid through a channel flow with applications in grease
title_sort time fractional model of a maxwell nanofluid through a channel flow with applications in grease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023803/
https://www.ncbi.nlm.nih.gov/pubmed/36932142
http://dx.doi.org/10.1038/s41598-023-31567-y
work_keys_str_mv AT khannaveed atimefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT alifarhad atimefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT ahmadzubair atimefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT murtazasaqib atimefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT ganieabdulhamid atimefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT khanilyas atimefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT eldinsayedm atimefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT khannaveed timefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT alifarhad timefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT ahmadzubair timefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT murtazasaqib timefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT ganieabdulhamid timefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT khanilyas timefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease
AT eldinsayedm timefractionalmodelofamaxwellnanofluidthroughachannelflowwithapplicationsingrease