TY - JOUR
T1 - MHD gyrotactic microorganisms upper convected Maxwell fluid flow in the presence of nonlinear thermal radiation
T2 - numerical approach Lobatto IIIA technique
AU - Algehyne, Ebrahem A.
AU - Zuhra, Samina
AU - Raizah, Zehba
AU - Zeeshan,
AU - Saeed, Anwar
AU - Galal, Ahmed M.
N1 - Publisher Copyright:
© 2023, Akadémiai Kiadó, Budapest, Hungary.
PY - 2023/7
Y1 - 2023/7
N2 - Bioconvection research is essential due to its widespread use in the domains of biofuels and bioengineering. This study investigates the numerical behavior of megnetohydrodynamic bioconvection boundary layer flow of motile microorganisms in upper convected Maxwell fluid via a renewed bvp4c-based Lobatto IIIA solver. To stabilize the nanoparticles in suspension, microorganisms are used that cause bioconvection. The flow past stretchable sheets is under the influence of heat and mass transfer, nonlinear thermal radiation, and viscous dissipation. Suitable similarity transformations are adopted to amend PDEs’ system of governing equations into ODEs’ system. Visualize graphical and numerical presentations that show the influence of physical parameters, such as flow rate, temperature gradient, nanofluid concentration, and gyrotactic motile microorganism concentration. Physical quantities such as skin friction, Nusselt number, Sherwood number, and local density of microorganisms are also taken into consideration.
AB - Bioconvection research is essential due to its widespread use in the domains of biofuels and bioengineering. This study investigates the numerical behavior of megnetohydrodynamic bioconvection boundary layer flow of motile microorganisms in upper convected Maxwell fluid via a renewed bvp4c-based Lobatto IIIA solver. To stabilize the nanoparticles in suspension, microorganisms are used that cause bioconvection. The flow past stretchable sheets is under the influence of heat and mass transfer, nonlinear thermal radiation, and viscous dissipation. Suitable similarity transformations are adopted to amend PDEs’ system of governing equations into ODEs’ system. Visualize graphical and numerical presentations that show the influence of physical parameters, such as flow rate, temperature gradient, nanofluid concentration, and gyrotactic motile microorganism concentration. Physical quantities such as skin friction, Nusselt number, Sherwood number, and local density of microorganisms are also taken into consideration.
KW - Bioconvection
KW - Bvp4c method
KW - Lobatto IIIA technique
KW - Maxwell fluid
KW - MHD
KW - Nonlinear thermal radiation
UR - http://www.scopus.com/inward/record.url?scp=85159667149&partnerID=8YFLogxK
U2 - 10.1007/s10973-023-12204-2
DO - 10.1007/s10973-023-12204-2
M3 - Article
AN - SCOPUS:85159667149
SN - 1388-6150
VL - 148
SP - 6791
EP - 6805
JO - Journal of Thermal Analysis and Calorimetry
JF - Journal of Thermal Analysis and Calorimetry
IS - 14
ER -