Investigation of mixture-based dusty hybrid nanofluid flow in porous media affected by magnetic field using RBF method

Abstract

In this study, we examined the motion and temperature distribution of a hybrid nanofluid, in which Ethylene glycol-water is the base fluid and TiO2 and MoS2 are nanoparticles in the presence of dust particles. The fluid is in a porous media under the influence of a magnetic field and flows over a stretching sheet. The use of mixture-based dusty hybrid nanofluid, porous media, and magnetic field can increase the heat transfer efficiency by raising the thermal and electrical conductivity and have many applications in various fields. The governing equations for hybrid nanofluid and dust particles were extracted and solved by the radial basis function method. The most significant achievements of the study show that raising the magnetic field parameter for the values of 0.1, 1, 2, and 3 reduces the velocity profiles by 16.86%, 16.8%, and 15.41% for nanofluid and dust particles. Increasing the Eckert number increases the temperature of the nanofluid and dust particles by 60.77% and 77.39% on average. Growth of Dust particle volume fraction from 0.01 to 0.05 by 0.01 increments causes thicker boundary layer, and mean growth of 49.91% and 62.86% for nanofluid and nanoparticles temperature. The mass concentration effect on temperature is negligible because of the opposite effect of density rising and velocity reducing. Finally, by increasing the shape parameter from 1 to 10, the temperature profiles for nanofluid and dust particles rise by 331.67%.