Numerical Simulation of Multiphase Transport Phenomena During Impinging Stream Drying of a Particulate Material

Journal article

Authors/Editors

Strategic Research Themes

No matching items found.

Publication Details

Author list: Choicharoen K., Devahastin S., Soponronnarit S.

Publisher: Taylor and Francis Group

Publication year: 2012

Journal: Drying Technology (0737-3937)

Volume number: 30

Issue number: #

Start page: 1227

End page: 1237

Number of pages: 11

ISSN: 0737-3937

eISSN: 1532-2300

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865260949&doi=10.1080%2f07373937.2012.704467&partnerID=40&md5=e1837e4538214962d173ac240c09e0f2

Languages: English-Great Britain (EN-GB)

View in Web of Science | View on publisher site | View citing articles in Web of Science

Abstract

The objective of the present study was to employ an existing three-dimensional computational fluid dynamic model to investigate the multiphase transport phenomena in a coaxial impinging stream dryer. The continuous-phase equations were solved in the Eulerian frame, while the discrete-phase equations were solved in the Lagrangian frame. Two-way coupling between the continuous and dispersed phases was taken into account in the model. Standard k-ε and realizable k-ε turbulence models were compared in order to decide which model could better represent the turbulent behavior of the flow in the ISD, while the stochastic approach was used to treat the effect of turbulence on the particle motion. Simulated mean particle moisture content and air humidity ratio at the dryer outlet as well as the particle mean residence time were compared with the experimental data. The results indicated that the model could predict the experimental results within ±10%, with the realizable turbulence model performing better than the standard model. The effects of various parameters including the inlet air velocity, inlet air temperature, material feed flow rate, and impinging distance on the transport and performance behavior of the dryer were then numerically investigated and discussed. © 2012 Copyright Taylor and Francis Group, LLC.

Keywords

CFD, Mathematical modeling, Pumping power, Residence time, Turbulence model