| Autor: |
Jairo Andrés Gutiérrez Suárez, Alexánder Gómez Mejía, Carlos Humberto Galeano Urueña |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
ChemEngineering, Vol 5, Iss 4, p 80 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2305-7084 |
| DOI: |
10.3390/chemengineering5040080 |
| Popis: |
Spray drying is one of many industrial applications that use annular swirling jets. For this particular application, the flow characteristics in the near-field of the jet are fundamental to obtaining high-quality dried products. In this article, an annular swirling jet configuration is numerically studied using three low-cost eddy-resolving turbulence methods: detached-eddy simulation (DES), delayed-DES (DDES) and scale-adaptive simulation (SAS). To focus in industrial applicability, very coarse grids are used. The individual performance of these models is assessed through a comparison with laser-Doppler anemometry (LDA) measurements and large-eddy simulation (LES) data from available studies. Results show that all the three turbulence models are suitable for performing industrial cost-effective simulations, capable of reproducing LES results of mean velocities and first-order turbulence statistics at a fraction of the computational cost. Differences in the results of the evaluated models were minor; however, the simulation with DDES still provided a better reproduction of experimental results, especially in the very-near field of the jet, as it enforced RANS behavior near the inlet walls and a better transition from modeled to resolved scales. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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