CFD simulations of early- to fully-turbulent conditions in unbaffled and baffled vessels stirred by a Rushton turbine
| Autor: | Giorgio Micale, Francesca Scargiali, Michele Ciofalo, Alessandro Tamburini, Gaetano Gagliano, Alberto Brucato |
|---|---|
| Přispěvatelé: | Tamburini A., Brucato A., Ciofalo M., Gagliano G., Micale G., Scargiali F. |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi Chimici
business.industry Turbulence General Chemical Engineering Settore ING-IND/25 - Impianti Chimici Reynolds number 02 engineering and technology General Chemistry Reynolds stress Mechanics Computational fluid dynamics Laboratory scale 021001 nanoscience & nanotechnology Flow field Rushton turbine symbols.namesake 020401 chemical engineering CFD SSG Stirred tank Turbulence model Unbaffled vessel symbols 0204 chemical engineering 0210 nano-technology business Reynolds-averaged Navier–Stokes equations Settore ING-IND/19 - Impianti Nucleari Mathematics |
| Popis: | Laboratory scale unbaffled tanks provided with a top cover and a baffled tank both stirred by a Rushton turbine were simulated by carrying out RANS simulations. Three different turbulence models were adopted (k- ω SST, k- e and the SSG Reynolds stress model) to predict the flow field and the relevant performance parameters (power and pumping numbers) of the tank operated from early to fully turbulent conditions. CFD results were compared with literature experimental data and DNS simulation results to validate and properly compare the models. In the range of Reynolds numbers investigated, results showed that, for the unbaffled tank, the SSG model based on Reynolds stresses is a better choice at larger Re, while the k- ω SST model better reproduces the experiments at lower values. Conversely, no significant differences between the predictions of the three models were found in the baffled vessel. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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