Parametric simulation of hybrid nanofluid flow consisting of cobalt ferrite nanoparticles with second-order slip and variable viscosity over an extending surface

Saqib Murtaza, Poom Kumam, Muhammad Bilal, Thana Sutthibutpong, Nopporn Rujisamphan, Zubair Ahmad

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

This study explores the unsteady hybrid nanofluid (NF) flow consisting of cobalt ferrite (CoFe2O4) and copper (Cu) nano particulates with natural convection flow due to an expanding surface implanted in a porous medium. The Cu and CoFe2O4 nanoparticles (NPs) are added to the base fluid water to synthesize the hybrid NF. The effects of second-order velocity slip condition, chemical reaction, heat absorption/generation, temperature-dependent viscosity, and Darcy Forchheimer are also assessed in the present analysis. An ordinary differential equation system is substituted for the modeled equations of the problem. Further computational processing of the differential equations is performed using the parametric continuation method. A validation and accuracy comparison are performed with the Matlab package BVP4C. Physical constraints are used for presenting and reviewing the outcomes. With the increase in second-order velocity slip condition and unsteady viscosity, the rates of heat and mass transition increase significantly with the variation in Cu and Fe2O4 NPs. The findings suggest that the uses of Cu and Fe2O4 in ordinary fluids might be useful in the aerodynamic extrusion of plastic sheets and extrusion of a polymer sheet from a dye.

Original languageEnglish
Article number20220533
JournalNanotechnology Reviews
Volume12
Issue number1
DOIs
Publication statusPublished - 1 Jan 2023
Externally publishedYes

Keywords

  • BVP4C
  • chemical reaction.
  • hybrid approach
  • parametric continuation method
  • slip conditions
  • stretching surface

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