Numerical analysis of slip-enhanced flow over a curved surface with magnetized water-based hybrid nanofluid containing gyrotactic microorganisms

Abstract

This article presents the two-dimensional flow of hybrid nanofluid comprising of gyrotactic microorganisms under the consequences of multiple slip conditions, magnetic field and thermal radiation across an elongating curved surface using porous media. The nanoparticles of TiO2 and Fe3O4 have dispersed in water for composition of hybrid nanofluid. Main equations of the problem are converted to ODEs by using an appropriate set of variables. Solution of the present model is determined with the help of bvp4c technique, which is explained in detail in the coming section. Validation of the current results is done versus the published work. The effects of various emerging factors on flow distributions have been considered and explained. Additionally, the slips conditions are incorporated to analyze various flow distributions. The present outcomes show that the rising magnetic factor lessens the velocity profile, whereas rises the temperature profile. The curvature factor has supported both temperature and velocity distributions. Growth in velocity, thermal, concentration, and microorganisms slip factors reduce the corresponding distributions. The greater impact of the embedded parameters is found on hybrid nanofluid flow when matched to nanofluid flow.

Analysis of Soret and Dufour effects on radiative heat transfer in hybrid bioconvective flow of carbon nanotubes

“…Now the useful thermo-physical properties of nanoparticles and Ethylene glycol–water are as follows 40 , 41 , and shown in Table 1 . Also thermo-physical properties are given as follows 42 , are given in Table 2 .…”

“…Alharbi 41 described bioconvection due to gyrotactic microorganisms in hybrid nanofluid with magnetic nanoparticles and with chemical reaction through porous stretching sheet. Mahdy et al 42 studied Non-Newtonian bioconvection flow with microorganisms over stretching surface. Chandra and Das 43 explored vertically inclined surface in presence gyrotactic microorganisms employing machine learning.…”