Computation of confined swirling flow using RNG and k-epsilon turbulence models
Data(s) |
01/07/1995
|
---|---|
Resumo |
In this work we numerically model isothermal turbulent swirling flow in a cylindrical burner. Three versions of the RNG k-epsilon model are assessed against performance of the standard k-epsilon model. Sensitivity of numerical predictions to grid refinement, differing convective differencing schemes and choice of (unknown) inlet dissipation rate, were closely scrutinised to ensure accuracy. Particular attention is paid to modelling the inlet conditions to within the range of uncertainty of the experimental data, as model predictions proved to be significantly sensitive to relatively small changes in upstream flow conditions. We also examine the characteristics of the swirl--induced recirculation zone predicted by the models over an extended range of inlet conditions. Our main findings are: - (i) the standard k-epsilon model performed best compared with experiment; - (ii) no one inlet specification can simultaneously optimize the performance of the models considered; - (iii) the RNG models predict both single-cell and double-cell IRZ characteristics, the latter both with and without additional internal stagnation points. The first finding indicates that the examined RNG modifications to the standard k-e model do not result in an improved eddy viscosity based model for the prediction of swirl flows. The second finding suggests that tuning established models for optimal performance in swirl flows a priori is not straightforward. The third finding indicates that the RNG based models exhibit a greater variety of structural behaviour, despite being of the same level of complexity as the standard k-e model. The plausibility of the predicted IRZ features are discussed in terms of known vortex breakdown phenomena. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/93429/1/RptJul95.pdf Kelson, Neil A., McElwain, Sean, & Truelove, John (1995) Computation of confined swirling flow using RNG and k-epsilon turbulence models. Queensland University of Technology. |
Direitos |
Copyright 1995 The Author(s) |
Fonte |
Division of Technology, Information and Learning Support; High Performance Computing and Research Support; School of Mathematical Sciences; Science & Engineering Faculty |
Palavras-Chave | #010299 Applied Mathematics not elsewhere classified #091501 Computational Fluid Dynamics #091508 Turbulent Flows |
Tipo |
Report |