In this paper, natural convective heat transfer flow inside an inclined square enclosure filled with different types of nanofluids having various shapes of the nanoparticles are investigated numerically using Galerkin weighted residual finite element technique. The effects of the Brownian diffusion of the nanoparticles, uniform heat source position, magnetic field intensity and orientation are taken into consideration in nanofluid modeling. The results indicate that an increment in the Rayleigh number, the Hartmann number, and volume fraction as well as the geometry inclination angle affect the heat transfer rates within the enclosure quite significantly. The heat source position significantly controls the heat transfer rates of the nanofluids. The distributions of the average heat transfer rates varying the position of the heat source with respect to the geometry inclination angle are calculated for the first time.
|Number of pages||15|
|Journal||Journal of Engineering Physics and Thermophysics|
|Publication status||Published - Sep 2019|