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Modeling and simulation for Cattaneo–Christov heat analysis of entropy optimized hybrid nanomaterial flow

Here, the hydromagnetic entropy optimized flow of a hybrid (Pb + Fe(2)O(3)/C(2)H(6)O(2)) nanoliquid by a curved stretchable surface is addressed. The Darcy–Forchheimer model is utilized for porous space. Lead (Pb) and ferric oxide (Fe(2)O(3)) are considered the nanoparticles and ethylene glycol (C(2...

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Autores principales: Razaq, Aneeta, Hayat, Tasawar, Khan, Sohail A., Alsaedi, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: RSC 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496880/
https://www.ncbi.nlm.nih.gov/pubmed/37705803
http://dx.doi.org/10.1039/d3na00453h
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author Razaq, Aneeta
Hayat, Tasawar
Khan, Sohail A.
Alsaedi, Ahmed
author_facet Razaq, Aneeta
Hayat, Tasawar
Khan, Sohail A.
Alsaedi, Ahmed
author_sort Razaq, Aneeta
collection PubMed
description Here, the hydromagnetic entropy optimized flow of a hybrid (Pb + Fe(2)O(3)/C(2)H(6)O(2)) nanoliquid by a curved stretchable surface is addressed. The Darcy–Forchheimer model is utilized for porous space. Lead (Pb) and ferric oxide (Fe(2)O(3)) are considered the nanoparticles and ethylene glycol (C(2)H(6)O(2)) as the base liquid. Thermal expression consists of dissipation and ohmic heating. Entropy generation is under consideration. The Cattaneo–Christov heat flux impact is discussed. Non-dimensional partial expressions by adequate transformations have been reduced to ordinary differential systems. The ND-solve technique is implemented for numerical solutions of dimensionless systems. Graphical illustrations of velocity, thermal field and entropy against influential variables for both nanoliquid (Pb/C(2)H(6)O(2)) and hybrid nanoliquid (Pb + Fe(2)O(3)/C(2)H(6)O(2)) are presented. Graphical illustrations of velocity, thermal field and entropy against sundry variables for both nanoliquid (Pb/C(2)H(6)O(2)) and hybrid nanoliquid (Pb + Fe(2)O(3)/C(2)H(6)O(2)) are presented. Influences of sundry variables on the Nusselt number and drag force for both nanoliquid (Pb/C(2)H(6)O(2)) and hybrid nanoliquid (Pb + Fe(2)O(3)/C(2)H(6)O(2)) are examined. A higher thermal relaxation time tends to intensify the heat transport rate and temperature. An increment in the magnetic variable leads to an enhancement of the entropy and thermal field. An improvement in liquid flow is seen for volume fraction variables. Velocity against the porosity variable and Forchheimer number is reduced. The Brinkman number leads to maximization of entropy generation.
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spelling pubmed-104968802023-09-13 Modeling and simulation for Cattaneo–Christov heat analysis of entropy optimized hybrid nanomaterial flow Razaq, Aneeta Hayat, Tasawar Khan, Sohail A. Alsaedi, Ahmed Nanoscale Adv Chemistry Here, the hydromagnetic entropy optimized flow of a hybrid (Pb + Fe(2)O(3)/C(2)H(6)O(2)) nanoliquid by a curved stretchable surface is addressed. The Darcy–Forchheimer model is utilized for porous space. Lead (Pb) and ferric oxide (Fe(2)O(3)) are considered the nanoparticles and ethylene glycol (C(2)H(6)O(2)) as the base liquid. Thermal expression consists of dissipation and ohmic heating. Entropy generation is under consideration. The Cattaneo–Christov heat flux impact is discussed. Non-dimensional partial expressions by adequate transformations have been reduced to ordinary differential systems. The ND-solve technique is implemented for numerical solutions of dimensionless systems. Graphical illustrations of velocity, thermal field and entropy against influential variables for both nanoliquid (Pb/C(2)H(6)O(2)) and hybrid nanoliquid (Pb + Fe(2)O(3)/C(2)H(6)O(2)) are presented. Graphical illustrations of velocity, thermal field and entropy against sundry variables for both nanoliquid (Pb/C(2)H(6)O(2)) and hybrid nanoliquid (Pb + Fe(2)O(3)/C(2)H(6)O(2)) are presented. Influences of sundry variables on the Nusselt number and drag force for both nanoliquid (Pb/C(2)H(6)O(2)) and hybrid nanoliquid (Pb + Fe(2)O(3)/C(2)H(6)O(2)) are examined. A higher thermal relaxation time tends to intensify the heat transport rate and temperature. An increment in the magnetic variable leads to an enhancement of the entropy and thermal field. An improvement in liquid flow is seen for volume fraction variables. Velocity against the porosity variable and Forchheimer number is reduced. The Brinkman number leads to maximization of entropy generation. RSC 2023-08-08 /pmc/articles/PMC10496880/ /pubmed/37705803 http://dx.doi.org/10.1039/d3na00453h Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Razaq, Aneeta
Hayat, Tasawar
Khan, Sohail A.
Alsaedi, Ahmed
Modeling and simulation for Cattaneo–Christov heat analysis of entropy optimized hybrid nanomaterial flow
title Modeling and simulation for Cattaneo–Christov heat analysis of entropy optimized hybrid nanomaterial flow
title_full Modeling and simulation for Cattaneo–Christov heat analysis of entropy optimized hybrid nanomaterial flow
title_fullStr Modeling and simulation for Cattaneo–Christov heat analysis of entropy optimized hybrid nanomaterial flow
title_full_unstemmed Modeling and simulation for Cattaneo–Christov heat analysis of entropy optimized hybrid nanomaterial flow
title_short Modeling and simulation for Cattaneo–Christov heat analysis of entropy optimized hybrid nanomaterial flow
title_sort modeling and simulation for cattaneo–christov heat analysis of entropy optimized hybrid nanomaterial flow
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496880/
https://www.ncbi.nlm.nih.gov/pubmed/37705803
http://dx.doi.org/10.1039/d3na00453h
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