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An assessment of different turbulence models for predicting flow in a baffled tank stirred with a Rushton turbine
Authors:Harminder Singh  David F Fletcher  Justin J Nijdam
Affiliation:aUniversity of Canterbury, Chemical and Process Engineering, Private Bag, 4800, Christchurch 8140, New Zealand;bSchool of Chemical and Biomolecular Engineering, University of Sydney, NSW 2006, Australia
Abstract:This work presents a comprehensive study of different turbulence models, including the kε, SST, SSG–RSM and the SAS–SST models, for simulating turbulent flow in a baffled tank stirred with a Rushton turbine. All the turbulence models tested predict the mean axial and tangential velocities reasonably well, but under-predict the decay of mean radial velocity away from the impeller. The kε model predicts poorly the generation and dissipation of turbulence in the vicinity of the impeller. This contrasts with the SST model, which properly predicts the appearance of maxima in the turbulence kinetic energy and turbulence energy dissipation rate just off the impeller blades. Curvature correction improves the SST model by allowing a more accurate prediction of the magnitude and location of these maxima. However, neither the kε nor the SST model is able to properly capture the chaotic and three-dimensional nature of the trailing vortices that form downstream of the blades of the impeller. In this sense, the SAS–SST model produces more physical predictions. However, this model has some drawbacks for modelling stirred tanks, such as the large number of modelled revolutions required to obtain good statistical averaging for calculating turbulence quantities. Taking into consideration both accuracy and solution time, the SSG–RSM model is the least satisfactory model tested for predicting turbulent flow in a baffled stirred tank with a Rushton turbine.
Keywords:Turbulence  Mixing  Mathematical modelling  Fluid mechanics  CFD  Turbulence energy dissipation rate
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