Abstract
Our current numerical investigation aims to estimate the thermal transport properties of hybrid nanofluids on a moving surface that is being shrinked horizontally. The hybrid nanoparticles consist of alumina (Al2O3) and copper (Cu), suspended in water as the base fluid. The transportation phenomenon takes place in a Darcy-Forchheimer medium, which is a porous material that exhibits thermal radiation, variable viscosity, variable thermal conductivity, Joule heating, viscous dissipation, and the effects of velocity and thermal slip conditions. The governing partial differential equations (PDEs) are converted using suitable similarity transformations into non-linear ordinary differential equations (ODEs). The equations were solved using the shooting technique with the RK-IV algorithm in the MATHEMATICA program. Dimensionless velocity, temperature, skin friction, and Nusselt numbers all provide numerical outcomes. Graphs and tables show the results of an investigation into the influence of different physical characteristics on these numbers. The velocity profile exhibits an upward trend when the velocity slip and nanoparticles volume fraction rise, but a downward trend when the viscosity and Prandtl number are varied. if the thermal slip and variable Prandtl number grow, the temperature profile falls. Conversely, if the nanoparticles volume fraction and variable thermal conductivity increase, the temperature profile increases. The skin friction and Nusselt number exhibit an upward trend as the volume percentage of nanoparticles and the viscosity of the system rise. At a Prandtl number of 6.2 and a nanoparticle volume fraction of 1 %, the Xue model demonstrates a heat transfer rate increase that is 5.32 % superior to the Yamada-Ota model and 3.18 % superior to the Hamilton-Crosser model for nanofluid. In the case of hybrid nanofluid, the Xue model exhibits a 19.01 % superiority over the Yamada-Ota model and 12.197 % superior to the Hamilton-Crosser model.
Published Version
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