Abstract

In this new world of fluid technologies, hybrid nanofluid has become a productive subject of research among scientists for its potential thermal features and abilities, which provides an excellent result as compared to nanofluids in growing the rate of heat transport. Our purpose here is to introduce the substantial influences of magnetic field on 2D, time-dependent and stagnation point inviscid flow of couple stress hybrid nanofluid around a rotating sphere with base fluid is pure blood, TiO2andAg as the nanoparticles. To translate the governing system of partial differential equations and the boundary conditions relevant for computation, some suitable transformations are implemented. To obtain the analytical estimations for the corresponding system of differential expression, the innovative Optimal Homotopy Analysis Method is used. The characteristics of hybrid nanofluid flow patterns, including temperature, velocity and concentration profiles are simulated and analyzed in detail due to the variation in the evolving variables. Detailed research is also performed to investigate the influences of relevant constraints on the rates, momentum and heat transport for both TiO2+Ag+Blood and TiO2+Blood. One of the many outcomes of this analysis, it is observed that increasing the magnetic factor will decelerate the hybrid nanofluid flow velocity and improve the temperature profile. It may also be demonstrated that by increasing the Brownian motion factor, significant improvement can be made in the concentration field of hybrid nanofluid. The increase in the nanoparticle volume fraction from 0.01 to 0.02 in the case of the hybrid nanofluid enhances the thermal conductivity from 5.8 to 11.947% and for the same value of the nanoparticle volume fraction in the case of nanofluid enhance the thermal conductivity from 2.576 to 5.197%.

Details

Title
Mixed convection stagnation point flow of the blood based hybrid nanofluid around a rotating sphere
Author
Taza, Gul 1 ; Basit, Ali 2 ; Alghamdi Wajdi 3 ; Nasir Saleem 4 ; Anwar, Saeed 5 ; Kumam Poom 6 ; Safyan, Mukhtar 7 ; Kumam Wiyada 8 ; Jawad Muhammad 5 

 City University of Science and IT, Department of Mathematics, Peshawar, Pakistan; Higher Education Department, Khyber Pakhtunkhwa, Peshawar, Pakistan 
 City University of Science and IT, Department of Mathematics, Peshawar, Pakistan 
 King Abdulaziz University, Department of Information Technology, Faculty of Computing and Information Technology, Jeddah, Saudi Arabia (GRID:grid.412125.1) (ISNI:0000 0001 0619 1117) 
 City University of Science and IT, Department of Mathematics, Peshawar, Pakistan (GRID:grid.412125.1) 
 Abdul Wali Khan University, Department of Mathematics, Mardan, Pakistan (GRID:grid.440522.5) (ISNI:0000 0004 0478 6450) 
 King Mongkut’s University of Technology Thonburi (KMUTT), Center of Excellence in Theoretical and Computational Science (TaCS-CoE), Faculty of Science, Thung Khru, Bangkok, Thailand (GRID:grid.412151.2) (ISNI:0000 0000 8921 9789); China Medical University, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan (GRID:grid.254145.3) (ISNI:0000 0001 0083 6092) 
 King Faisal University, Basic Sciences Department, Deanship of Preparatory Year, Al Ahsa, Saudi Arabia (GRID:grid.412140.2) (ISNI:0000 0004 1755 9687) 
 Rajamangala University of Technology Thanyaburi, Program in Applied Statistics, Department of Mathematics and Computer Science, Faculty of Science and Technology, Thanyaburi, Thailand (GRID:grid.440403.7) (ISNI:0000 0004 0646 5810) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2508022373
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.