Hydrodynamic Study in a Cone Bottom Stirred Tank Using Computational Fluid Dynamics

Stirred tanks are often used in industrial applications to store and process liquids solids. However, these systems have become an increasing challenge improve optimize processes. Computational Fluids Dynamics (CFD) simulation predicts complex phenomena as hydrodynamics system performance. An optimal solution is found using effective mesh scheme selecting appropriate boundary conditions. This work aims validate describe the distribution velocities inside tank a rigorous turbulence model. with diameter of 27 cm oval cone tip Rushton impeller (radial impeller) 4-blade inclined at 45° (axial performed. For both cases, bottom analyzed. In addition, power pumping numbers for each studied. The overall results show that cone, asymmetry improved, divergence avoided. Also, designer increased turbulent kinetic energy, which can enhance mixture process. A decrease shown when axial type applied low Reynolds numbers; however, introduced radial used, values increased. CFD compared experimental data provide similar absolute deviation below 4.46 %.