s Pahlevani - Computational Fluid Dynamic Laboratory, Chemical Engineering Department, Iran University of Science and Technology, Narmak, Tehran, Iran
s.h Hashemabadi - Computational Fluid Dynamic Laboratory, Chemical Engineering Department, Iran University of Science and Technology, Narmak, Tehran, Iran

In this work, stirred bubble column simulation has been performed by computational fluid dynamics (CFD) technique. To this aim, Eulerian multiphase approach and algebraic slip mixture model (ASM) has been considered in terms of large-scale CFD simulations computational time. Simulations have been performed for three cases. The first case is ASM approach with Spalart-Allmaras (S-A) turbulence model, the second is ASM approach withStandard k-ε turbulence model and the last one is Eulerian approach with Standard k-ε turbulence model. Geometrical and operational parameters have been taken from Aubin et al. (2004) to verify simulation results with their experimental data. The results show that the radialprofile of axial fluid velocity in each case has good agreement with experimental data. The results illustrate, almost with reasonable accuracy, using of ASM approach reduces the computation time near 20 percent, on the other hand, implementation of S-A turbulence modelsdecreases the simulation time close to 25 percent respect to k-ε model. This reduction in computation time is very useful for large scale simulation.

stirred bubble column, computational fluid dynamics, hydrodynamics, multi-phase approaches, Spalart-Allmaras (S-A) and k-ε turbulence model