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Heat and mass transfer analysis for magnetized flow of [Formula: see text] nanolubricant with variable properties: an application of Cattaneo–Christov model

The current study scrutinizes heat and mass transfer features of magnetized flow of [Formula: see text] nanolubricant over Riga plate in a Darcy Forchheimer medium. The effects of variable viscosity, thermal radiation, variable thermal conductivity, viscous dissipation and uniform heat source/sink a...

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Autores principales: Riaz, Muhammad, Khan, Nargis, Hashmi, M. S., Younis, Jihad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229610/
https://www.ncbi.nlm.nih.gov/pubmed/37253938
http://dx.doi.org/10.1038/s41598-023-35988-7
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author Riaz, Muhammad
Khan, Nargis
Hashmi, M. S.
Younis, Jihad
author_facet Riaz, Muhammad
Khan, Nargis
Hashmi, M. S.
Younis, Jihad
author_sort Riaz, Muhammad
collection PubMed
description The current study scrutinizes heat and mass transfer features of magnetized flow of [Formula: see text] nanolubricant over Riga plate in a Darcy Forchheimer medium. The effects of variable viscosity, thermal radiation, variable thermal conductivity, viscous dissipation and uniform heat source/sink are examined in this study. The diffusion model presented by Cattaneo–Christov is incorporated in this study to enclose heat and mass transport phenomenon. Additionally, the mass transfer rate is inspected subjected to the effects of variable solutal diffusivity and higher order chemical reaction. Heat and mass transfer phenomena have significant applications in the disciplines of science and technology that can be seen everywhere in nature. This simultaneous transportation phenomenon indicates a variety of applications in manufacturing processes, aerodynamics, cooling systems, environmental sciences, oceanography, food industries, biological disciplines, and energy transport systems etc. The modeled system of PDEs is metamorphosed to nonlinear ODEs with the introduction of appropriate transformations. An eminent bvp4c method in MATLAB has been incorporated to execute the resulting system of ODEs numerically. The outcomes of velocity, temperature and concentration profiles corresponding to various emerging parameters have been exposed graphically. The motion of [Formula: see text] nanolubricant tends to enhance significantly with larger modified Hartmann number, whereas converse behavior is reported by increasing porosity parameter and variable viscosity parameter. The greater heat transfer rate is observed for variable thermal conductivity parameter. The rates of heat and mass transfer slow down for thermal and solutal time relaxation parameters respectively. The concentration profile gets enriched by growing the order of the chemical reaction and variable mass diffusivity parameter. It is concluded that by increasing solid volume fraction up to [Formula: see text] , the viscosity of the nanolubricant enhances up to [Formula: see text] which consequently slows down motion of the nanolubricant but increases temperature and concentration profiles.
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spelling pubmed-102296102023-06-01 Heat and mass transfer analysis for magnetized flow of [Formula: see text] nanolubricant with variable properties: an application of Cattaneo–Christov model Riaz, Muhammad Khan, Nargis Hashmi, M. S. Younis, Jihad Sci Rep Article The current study scrutinizes heat and mass transfer features of magnetized flow of [Formula: see text] nanolubricant over Riga plate in a Darcy Forchheimer medium. The effects of variable viscosity, thermal radiation, variable thermal conductivity, viscous dissipation and uniform heat source/sink are examined in this study. The diffusion model presented by Cattaneo–Christov is incorporated in this study to enclose heat and mass transport phenomenon. Additionally, the mass transfer rate is inspected subjected to the effects of variable solutal diffusivity and higher order chemical reaction. Heat and mass transfer phenomena have significant applications in the disciplines of science and technology that can be seen everywhere in nature. This simultaneous transportation phenomenon indicates a variety of applications in manufacturing processes, aerodynamics, cooling systems, environmental sciences, oceanography, food industries, biological disciplines, and energy transport systems etc. The modeled system of PDEs is metamorphosed to nonlinear ODEs with the introduction of appropriate transformations. An eminent bvp4c method in MATLAB has been incorporated to execute the resulting system of ODEs numerically. The outcomes of velocity, temperature and concentration profiles corresponding to various emerging parameters have been exposed graphically. The motion of [Formula: see text] nanolubricant tends to enhance significantly with larger modified Hartmann number, whereas converse behavior is reported by increasing porosity parameter and variable viscosity parameter. The greater heat transfer rate is observed for variable thermal conductivity parameter. The rates of heat and mass transfer slow down for thermal and solutal time relaxation parameters respectively. The concentration profile gets enriched by growing the order of the chemical reaction and variable mass diffusivity parameter. It is concluded that by increasing solid volume fraction up to [Formula: see text] , the viscosity of the nanolubricant enhances up to [Formula: see text] which consequently slows down motion of the nanolubricant but increases temperature and concentration profiles. Nature Publishing Group UK 2023-05-30 /pmc/articles/PMC10229610/ /pubmed/37253938 http://dx.doi.org/10.1038/s41598-023-35988-7 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
Riaz, Muhammad
Khan, Nargis
Hashmi, M. S.
Younis, Jihad
Heat and mass transfer analysis for magnetized flow of [Formula: see text] nanolubricant with variable properties: an application of Cattaneo–Christov model
title Heat and mass transfer analysis for magnetized flow of [Formula: see text] nanolubricant with variable properties: an application of Cattaneo–Christov model
title_full Heat and mass transfer analysis for magnetized flow of [Formula: see text] nanolubricant with variable properties: an application of Cattaneo–Christov model
title_fullStr Heat and mass transfer analysis for magnetized flow of [Formula: see text] nanolubricant with variable properties: an application of Cattaneo–Christov model
title_full_unstemmed Heat and mass transfer analysis for magnetized flow of [Formula: see text] nanolubricant with variable properties: an application of Cattaneo–Christov model
title_short Heat and mass transfer analysis for magnetized flow of [Formula: see text] nanolubricant with variable properties: an application of Cattaneo–Christov model
title_sort heat and mass transfer analysis for magnetized flow of [formula: see text] nanolubricant with variable properties: an application of cattaneo–christov model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229610/
https://www.ncbi.nlm.nih.gov/pubmed/37253938
http://dx.doi.org/10.1038/s41598-023-35988-7
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