Numerical investigation for CuO-H2O nanofluid flow in a porous channel with magnetic field using mesoscopic method

CuO-H2O nanofluid flow inside a porous channel due to magnetic field is simulated by means of Lattice Boltzmann method. Brownian motion impact added in model of nanofluid. Roles of Reynolds number (Re), CuO-water nanofluid volume fraction (ϕ), Darcy number (Da) and Hartmann number (Ha) are demonstrated. Results demonstrate that convective mode improves with increase of Da, Re. Velocity reduces with increase of Lorentz forces but rate of heat transfer enhances with rise of Hartmann number.