Computational hemorheology of blood flow with TiO₂ nanoparticles over a non-linearly stretching sheet under magnetohydrodynamics
This study presents a computational analysis of the hemorheology of blood flow containing TiO2 nanoparticles over a non-linearly stretching sheet under the influence of magnetohydrodynamics (MHD). The Sisko blood flow model is employed to capture the non-Newtonian characteristics of the blood. The g...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Pushpa Publishing House
2024
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| Online Access: | http://eprints.utem.edu.my/id/eprint/28462/2/02284241020242246211224.pdf http://eprints.utem.edu.my/id/eprint/28462/ https://pphmjopenaccess.com/index.php/jphmt/article/view/2257 https://doi.org/10.17654/0973576324044 |
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| Summary: | This study presents a computational analysis of the hemorheology of blood flow containing TiO2 nanoparticles over a non-linearly stretching sheet under the influence of magnetohydrodynamics (MHD). The Sisko blood flow model is employed to capture the non-Newtonian characteristics of the blood. The governing equations are derived and transformed into a set of non-linear ordinary differential equations (ODEs) using appropriate similarity variables. These equations are then solved numerically using the 4th-5th order Runge-Kutta-Fehlberg (RKF45) method. The results demonstrated that an increase in Sisko material parameter enhances the velocity of nanofluid. Increase in non-linear stretching parameter leads to a thinner boundary layer, thereby enhancing heat transfer at the surface. The findings underscore the potential of TiO2 nanoparticles in significantly improving heat transfer efficiency in biomedical and industrial applications. |
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