dc.description.abstract | Non-Newtonian fluids exhibit nonlinear relationship between the shear stress and the shear rate, that is, its viscosity is not constant. They are present in nature (blood, sludge) as well as many industrial products are classified in this category, such as food products (yoghurt, soft cheeses, jams, chocolate), paints, rubber, polymer melts, polymer solutions, adhesives and gums. In cases where viscosity decreases with increasing shear rate, the fluids are classified as shear-thinning, while the opposite behavior is classified as shear-thickening. The Power-Law model is used in engineering to model both behaviors. Computational Fluid Dynamics - CFD is a tool used in the numerical simulation of Newtonian and non-Newtonian fluid flow. Numerous free and commercial codes are used today, including the free and open source Multiphase Flow with Interphase Exchanges (MFIX), which was developed to the numerical simulation of multiphase (fluid-solid) and reactive flows. The goal of this work is to implement the Power-Law model in MFIX, validate the implementation and conduct a case study using the model implemented. With the implementation of a non-Newtonian model to the code, a new possibility for the simulation of multiphase flows of solid-non-Newtonian liquids is opened, as well as there is an increase in the capability of the code regarding the study of single-phase fluid flows of Non-Newtonian fluids subject to heat transfer. The model was implemented and validated by comparison with literature results for the flow in a lid driven cavity. Subsequently, simulations were carried out concerning isothermal and non-isothermal flows around a square cylinder immersed in a channel. Parameters of analyses consisted of Prandtl number, Power-Law index and blockage ratio, for a fixed Reynolds number. It was found that the Nusselt number is strongly influenced by the blockage ratio and decreases with the increase of the Power-Law index. The Prandtl number also directly influences the process. With its increase, the dependence of the Nusselt number with the blockage ratio is more pronounced. | en |