Entropy minimization of GO–Ag/KO cross-hybrid nanofluid over a convectively heated surface

Autor: Lone Showkat Ahmad, Al-Essa Laila A., Al-Bossly Afrah, Alduais Fuad S., Ali Farhan, Eldin Sayed M., Saeed Anwar
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Nanotechnology Reviews, Vol 12, Iss 1, Pp e202200051-22 (2023)
Druh dokumentu: article
ISSN: 2191-9097
DOI: 10.1515/ntrev-2023-0101
Popis: The aim of this study is to provide numerical solutions to magnetohydrodynamic (MHD) cross flow with heat and mass transfer over a stretching sheet in a hybrid nanofluid with suction/injection and convective boundary conditions. This will be accomplished by presenting numeric solutions. Nanoparticles of graphene oxide and silver were suspended in kerosene oil as the base fluid taken into consideration is a nanofluid hybrid. After that, the physical flow problem is modeled as a set of partial differential equations, which are then transformed into an equivalent system of nonlinear ordinary differential equations (ODEs) by making use of the relevant similarity transformations. To gain different graphical and numerical results for analyzing the influence of numerous physical restrictions on velocity, heat, and mass profiles, the system of ODEs is solved using the computing power of the Lobatto IIIA technique. The plot of the velocity profile, temperature, concentration, entropy generation and Bejan number with separating magnitude like that power index number (0.1
Databáze: Directory of Open Access Journals