Abstract
Recent studies have shown that the two-phase modeling of nanofluid in natural convection is more compatible with the experimental results. This numerical study is applied to Buongiorno's model for solving the volume fraction of iron oxide nanoparticles inside a triangular chamber with a hot wavy wall using the finite volume method. Also, a uniform magnetic field is used to improve the heat transfer rate and entropy generation. The periodic temperature boundary condition is considered for the wavy side of the chamber while the other side is at the constant temperature. Hartmann number (Ha), Rayleigh number (Ra), undulation number (n), and inclination angle of magnetic field (ξ) variations are investigated. The results show that n has significant effects on heat transfer. Also, the Nusselt number is inversely related to the undulation number and is directly associated with the Rayleigh number. Moreover, the heat transfer rate is inversely related to the total entropy generation. Due to the magnetic field in high Ra, entropy generation first increases and then remains constant with increasing Ha.
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