Jolius, Gimbun and Noor Intan Shafinas, Muhammad and Law, Woon Phui (2015) Fluid Dynamics and Transport Phenomena Unsteady RANS and Detached Eddy Simulation of the Multiphase Flow in a Co-Current Spray Drying. Chinese Journal of Chemical Engineering, 23 (9). pp. 1421-1428. ISSN 1004-9541. (Published)
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Unsteady RANS and Detached Eddy Simulation of the Multiphase Flow In a Co-Current Spray Drying.pdf Download (52kB) | Preview |
Abstract
A detached eddy simulation (DES) and a k-ε-based Reynolds-averaged Navier-Stokes (RANS) calculation on the co-current spray drying chamber is presented. The DES used here is based on the Spalart-Allmaras (SA) turbulence model, whereas the standard k-ε (SKE) was considered here for comparison purposes. Predictions of the mean axial velocity, temperature and humidity profile have been evaluated and compared with experimental measurements. The effects of the turbulence model on the predictions of the mean axial velocity, temperature and the humidity profile are most noticeable in the (highly anisotropic) spraying region. The findings suggest that DES provide a more accurate prediction (with error less than 5%) of the flow field in a spray drying chamber compared with RANS-based k-ε models. The DES simulation also confirmed the presence of anisotropic turbulent flow in the spray dryer from the analysis of the velocity components fluctuations and turbulent structure as illustrated by the Q-criterion.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | drying; turbulence; two-phase flow; CFD; detached eddy simulation; modelling strategy |
| Subjects: | T Technology > TP Chemical technology |
| Faculty/Division: | Centre of Excellence: Centre of Excellence for Advanced Research in Fluid Flow Faculty of Chemical & Natural Resources Engineering Institute of Postgraduate Studies |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 13 Apr 2016 01:57 |
| Last Modified: | 03 Oct 2019 08:10 |
| URI: | http://umpir.ump.edu.my/id/eprint/9264 |
| Download Statistic: | View Download Statistics |
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