Affiliation:
1. Department of Mathematics and Statistics, Career Point University, Hamirpur, 1776041, Himachal Pradesh, India
Abstract
This research introduces an advanced nanofluid model for optimizing the rate of heat transmission. The trihybrid nanofluid is constructed by suspending three distinct nanoparticles in a base fluid with diverse physical and chemical affinities. This study confronts the heat transfer
characteristics of TiO2, Al2O3, and SiO2 boundary layer flow involving thermal radiation and slip scenarios. The controlling boundary layer equations are modified through an array of ordinary differential equations employing suitable similarity transformations,
which have been solved by using bvp4c algorithm in MATLAB. As of yet, no prior investigation has ever been conducted on the flow of tri-hybrid nanofluid TiO2, Al2O3, and SiO2/H2O via rotatory surface. As a result, the current investigation
has been undertaken to fill this gap, and the primary objectives of this work is to look into the aspects that optimise the heat transfer of base fluid (H2O) dissolved with tri-hybrid nanoparticles (TiO2, Al2O3, and SiO2) past a rotatory
surface with slip conditions. The figures indicate that the presence of distinct nondimensional parameters in this analysis has a tremendous impact on the fluid motion inside the boundary layer. The plots obtained reveal that the diminution in particle movement is addressed simply by raising
the Williamson parameter, magnetic parameter, and Forchheimer parameter. While the temperature profiles of the magnetic parameter, rotation parameter, and Williamson parameter demonstrate a reverse pattern. The findings are visualized in graphical format, and it is predicted that the tri-hybrid
nanofluid has a greater thermal conductivity than the hybrid nanofluid and traditional fluid.
Publisher
American Scientific Publishers