Mathematical Modeling and numerical simulation for nanofluid flow with entropy optimization

Through their exciting features, hybrid nanofluids have found a key role in energy transport applications that can be managed according to requirements. The hybrid nanofluid has a spectacular role in improving the mechanism of heat exchange and is extensively used during the manufacture of industrial and engineering applications. In this work, considering the influences of Lorentz force and uniform heat flux, the hydrothermal nature of hybrid nanoparticle displacement from a wavy and perforated tank is examined. The non-Darcy model is exploited for the simulation of the porous domain. The functional hybrid nanofluid is a Newtonian fluid partially loaded by MWCNTs and Fe3O4 nanoparticles. Where an adiabatic condition is presumed just at the upper and lower walls of the tank but the lift and right walls of the tank are assumed to be heated and cooled respectively. In order to convert the fundamental set of PDEs into a nondimensional shape, appropriate relationships are used. The converted expression is computed by using an innovative technique CVFEM and then evaluated by using entropy optimization. The effect on the virtual flow parameters of different parameters that occur in the fundamental flow regime is systematically studied and the results are graphically demonstrated in form of contours and 3D plots. Rising buoyancy as well as porosity is reported to increase convective flow but decline temperature. Quantitative relations are generated for heat fluxNu(ave) and Bejan numberBe, that illustrate its influence on the Reynolds numberRa, magnetic parameter Haand DarcyDanumbers.

Automated summary

Hybrid nanofluids play a crucial role in energy transport applications, especially in industries and engineering, by improving the mechanism of heat exchange. Studies have shown that buoyancy and porosity increase convective flow but lower temperature.