Heat transfer analysis of radiated thin-film flow of couple-stress nanofluid embedded in a Darcy-Forchheimer medium with Newtonian heating effects
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This work examined the heat transfer performance of Darcy-Forchheimer thin film flow of couple stress nanofluid (NF) with dispersed Manganese zinc ferrite MnZnFe2O3 and Graphene Go nanomaterials in the existence of nonlinear thermal radiation, melting heat, and Newtonian heating. The model accounts both porous and inertial resistances due to incorporation of Darcy-Forchheimer model in momentum equation. The model practical relevance is increased by Newtonian heating and melting heat effects, which accounts heat flux at the surface. To increase the heating capacity and flow stability of NF, the nanomaterials MnZnFe2O3 and Go are added to the coupled stress fluid. For the computational solution, the Adam-Bashforth approach along with predictorcorrector method is used. The findings indicate that the inclusion of Darcy-Forchheimer terms has a substantial effect on the fluid flow and heat transfer rates in opposite manner. The melting heat effects introduce substantial shifts in thermal gradients due to phase change dynamics. The Newtonian heating increases surface heat flux. The nonlinear thermal radiation detract the temperature, and velocity profiles. In the coupled stressbased NF, the addition of MnZnFe2O3 and Go nanoparticles improves the heat transfer rate and stabilizes the flow field. The study has various engineering applications including coating materials and microelectronics cooling
Abstract
This work examined the heat transfer performance of Darcy-Forchheimer thin film flow of couple stress nanofluid (NF) with dispersed Manganese zinc ferrite MnZnFe2O3 and Graphene Go nanomaterials in the existence of nonlinear thermal radiation, melting heat, and Newtonian heating. The model accounts both porous and inertial resistances due to incorporation of Darcy-Forchheimer model in momentum equation. The model practical relevance is increased by Newtonian heating and melting heat effects, which accounts heat flux at the surface. To increase the heating capacity and flow stability of NF, the nanomaterials MnZnFe2O3 and Go are added to the coupled stress fluid. For the computational solution, the Adam-Bashforth approach along with predictorcorrector method is used. The findings indicate that the inclusion of Darcy-Forchheimer terms has a substantial effect on the fluid flow and heat transfer rates in opposite manner. The melting heat effects introduce substantial shifts in thermal gradients due to phase change dynamics. The Newtonian heating increases surface heat flux. The nonlinear thermal radiation detract the temperature, and velocity profiles. In the coupled stressbased NF, the addition of MnZnFe2O3 and Go nanoparticles improves the heat transfer rate and stabilizes the flow field. The study has various engineering applications including coating materials and microelectronics cooling