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EMMS drag model for simulating a gas–solid fluidized bed of geldart B particles: Effect of bed model parameters and polydisperity

Authors
Kshetrimayum, Krishnadash S.Park, SeonghoHan, ChonghunLee, Chul-Jin
Issue Date
Aug-2020
Publisher
Elsevier B.V.
Keywords
CFD simulation; Energy minimization multi-scale drag; Fluidized-bed reactor; Gas–solid fluidized bed; Polydisperity
Citation
Particuology, v.51, pp 142 - 154
Pages
13
Journal Title
Particuology
Volume
51
Start Page
142
End Page
154
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37890
DOI
10.1016/j.partic.2019.10.004
ISSN
1674-2001
2210-4291
Abstract
The energy minimization multi-scale (EMMS) is a heterogeneous drag model widely used to simulate gas–solid fluidized beds. In this work, we conducted computational fluid dynamics simulations of a gas–solid fluidized bed for Geldart B particles to compare the EMMS with the homogeneous Gidaspow drag model. The results from both the homogeneous and heterogeneous drag models were compared with literature experimental data on pressure drop and bed expansion. There was no noticeable difference in predicted bed characteristics in the slugging regime. However, in the turbulent regime, the EMMS model predicted slightly lower bed expansion than did the Gidaspow model. We evaluated the effects of solid–solid and solid–wall interaction parameters by varying the restitution and specularity coefficients. Bed expansion increases by a factor of 1.05–1.08 when the restitution coefficient increases from 0.9 to 0.99. The models predict a higher solid volume fraction and higher solid downflow velocity near the wall for a low specularity coefficient of 0.01 or 0. When we considered solid phases of different sizes to model polydisperity, the simulation predicted vertical segregation of 300, 350, and 400 μm in the fluidized region due to gravity. Furthermore, the drag models made similar predictions in bad characteristics from cold model simulation of a polysilicon fluidized-bed reactor, although there was very little vertical segregation of solid particles for this case. © 2019 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences
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