Analysis of biomagnetic blood Carreau hybrid nanofluid flow in stenotic arteries with motile gyrotactic microorganisms: Response surface optimisation

Cardiovascular diseases remain a leading cause of death globally, with stenosis playing a significant role in their development. Blood flow dynamics within stenosed arteries are intricate and influenced by various factors, including nanoparticles and microorganisms. This study actively investigates...

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Authors: Dinesh Kumar, Maddina, Jayasri, P., Díaz Palencia, José Luis, Durgaprasad, P., Chamkha, Ali J., C. S. K., Raju
Format: article
Publication Date:2024
Country:España
Institution:Universidad a Distancia de Madrid (UDIMA)
Repository:udiMundus. Repositorio Institucional de la Universidad a Distancia de Madrid
OAI Identifier:oai:udimundus.udima.es:20.500.12226/2581
Online Access:http://hdl.handle.net/20.500.12226/2581
Access Level:Open access
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spelling Analysis of biomagnetic blood Carreau hybrid nanofluid flow in stenotic arteries with motile gyrotactic microorganisms: Response surface optimisationDinesh Kumar, MaddinaJayasri, P.Díaz Palencia, José LuisDurgaprasad, P.Chamkha, Ali J.C. S. K., RajuCardiovascular diseases remain a leading cause of death globally, with stenosis playing a significant role in their development. Blood flow dynamics within stenosed arteries are intricate and influenced by various factors, including nanoparticles and microorganisms. This study actively investigates the flow behaviour of biomagnetic blood Carreau tetra hybrid nanofluid within stenotic arteries containing motile gyrotactic microorganisms through response surface optimisation. The formulation is rooted in the Carreau model, elucidating non-Newtonian fluid behaviours, incorporating the Lorentz force to address the magnetic field effects, and integrating the convective-diffusion equation to model microorganism transport. We derived numerical solutions using the built-in solver in MATLAB, i.e. ODE45. The computational domain encompasses a two-dimensional stenosed artery featuring a sinusoidal stenosis profile. We characterise the inlet conditions with fully developed Carreau fluid flow accompanied by a uniform magnetic field, while the outlet conditions involve a zero-pressure gradient. The arterial walls are assumed to be rigid and non-slip. Response surface optimisation employs the central composite design method to minimise pressure drop across the stenosis, yielding optimal values for input parameters, including magnetic field strength, nanoparticle concentration, and microorganism concentration. The study discerns the substantial influence of nanoparticles and microorganisms on flow behaviour within stenosed arteries, underscoring the efficacy of response surface optimisation in flow behaviour optimisation. Limitations include assumptions of steady flow and simplifications in artery geometry, suggesting avenues for future exploration, particularly in transient flow dynamics and three-dimensional artery geometries. The validation of the numerical simulations demonstrates strong alignment with published data.2024-25Facultad de Ciencias de la Educación(GI-23/11) Grupo de investigación en Matemáticas aplicadas, educación y su difusión social (GINMAED)2024info:eu-repo/semantics/articlehttp://hdl.handle.net/20.500.12226/2581reponame:udiMundus. Repositorio Institucional de la Universidad a Distancia de Madridinstname:Universidad a Distancia de Madrid (UDIMA)Inglésinfo:eu-repo/semantics/openAccessoai:udimundus.udima.es:20.500.12226/25812026-06-02T12:44:31Z
dc.title.none.fl_str_mv Analysis of biomagnetic blood Carreau hybrid nanofluid flow in stenotic arteries with motile gyrotactic microorganisms: Response surface optimisation
title Analysis of biomagnetic blood Carreau hybrid nanofluid flow in stenotic arteries with motile gyrotactic microorganisms: Response surface optimisation
spellingShingle Analysis of biomagnetic blood Carreau hybrid nanofluid flow in stenotic arteries with motile gyrotactic microorganisms: Response surface optimisation
Dinesh Kumar, Maddina
title_short Analysis of biomagnetic blood Carreau hybrid nanofluid flow in stenotic arteries with motile gyrotactic microorganisms: Response surface optimisation
title_full Analysis of biomagnetic blood Carreau hybrid nanofluid flow in stenotic arteries with motile gyrotactic microorganisms: Response surface optimisation
title_fullStr Analysis of biomagnetic blood Carreau hybrid nanofluid flow in stenotic arteries with motile gyrotactic microorganisms: Response surface optimisation
title_full_unstemmed Analysis of biomagnetic blood Carreau hybrid nanofluid flow in stenotic arteries with motile gyrotactic microorganisms: Response surface optimisation
title_sort Analysis of biomagnetic blood Carreau hybrid nanofluid flow in stenotic arteries with motile gyrotactic microorganisms: Response surface optimisation
dc.creator.none.fl_str_mv Dinesh Kumar, Maddina
Jayasri, P.
Díaz Palencia, José Luis
Durgaprasad, P.
Chamkha, Ali J.
C. S. K., Raju
author Dinesh Kumar, Maddina
author_facet Dinesh Kumar, Maddina
Jayasri, P.
Díaz Palencia, José Luis
Durgaprasad, P.
Chamkha, Ali J.
C. S. K., Raju
author_role author
author2 Jayasri, P.
Díaz Palencia, José Luis
Durgaprasad, P.
Chamkha, Ali J.
C. S. K., Raju
author2_role author
author
author
author
author
description Cardiovascular diseases remain a leading cause of death globally, with stenosis playing a significant role in their development. Blood flow dynamics within stenosed arteries are intricate and influenced by various factors, including nanoparticles and microorganisms. This study actively investigates the flow behaviour of biomagnetic blood Carreau tetra hybrid nanofluid within stenotic arteries containing motile gyrotactic microorganisms through response surface optimisation. The formulation is rooted in the Carreau model, elucidating non-Newtonian fluid behaviours, incorporating the Lorentz force to address the magnetic field effects, and integrating the convective-diffusion equation to model microorganism transport. We derived numerical solutions using the built-in solver in MATLAB, i.e. ODE45. The computational domain encompasses a two-dimensional stenosed artery featuring a sinusoidal stenosis profile. We characterise the inlet conditions with fully developed Carreau fluid flow accompanied by a uniform magnetic field, while the outlet conditions involve a zero-pressure gradient. The arterial walls are assumed to be rigid and non-slip. Response surface optimisation employs the central composite design method to minimise pressure drop across the stenosis, yielding optimal values for input parameters, including magnetic field strength, nanoparticle concentration, and microorganism concentration. The study discerns the substantial influence of nanoparticles and microorganisms on flow behaviour within stenosed arteries, underscoring the efficacy of response surface optimisation in flow behaviour optimisation. Limitations include assumptions of steady flow and simplifications in artery geometry, suggesting avenues for future exploration, particularly in transient flow dynamics and three-dimensional artery geometries. The validation of the numerical simulations demonstrates strong alignment with published data.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12226/2581
url http://hdl.handle.net/20.500.12226/2581
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Facultad de Ciencias de la Educación
(GI-23/11) Grupo de investigación en Matemáticas aplicadas, educación y su difusión social (GINMAED)
publisher.none.fl_str_mv Facultad de Ciencias de la Educación
(GI-23/11) Grupo de investigación en Matemáticas aplicadas, educación y su difusión social (GINMAED)
dc.source.none.fl_str_mv reponame:udiMundus. Repositorio Institucional de la Universidad a Distancia de Madrid
instname:Universidad a Distancia de Madrid (UDIMA)
instname_str Universidad a Distancia de Madrid (UDIMA)
reponame_str udiMundus. Repositorio Institucional de la Universidad a Distancia de Madrid
collection udiMundus. Repositorio Institucional de la Universidad a Distancia de Madrid
repository.name.fl_str_mv
repository.mail.fl_str_mv
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