Application of the direct quadrature method of moments to polydisperse gas-solid fluidized beds

被引:226
作者
Fan, R [1 ]
Marchisio, DL [1 ]
Fox, RO [1 ]
机构
[1] Iowa State Univ, Dept Chem Engn, Ames, IA 50010 USA
基金
美国国家科学基金会;
关键词
DQMOM; fluidized beds; population balance; aggregation; breakage;
D O I
10.1016/j.powtec.2003.10.005
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Most of today's computational fluid dynamics (CFD) calculations for gas-solid flows are carried out assuming that the solid phase is monodispersed, whereas it is well known that in many applications, it is characterized by a particle size distribution (PSD). In order to properly model the evolution of a polydisperse solid phase, the population balance equation (PBE) must be coupled to the continuity and momentum balance equations. In this work, the recently formulated direct quadrature method of moments (DQMOM) is implemented in a multi-fluid CFD code to simulate particle aggregation and breakage in a fluidized-bed (FB) reactor. DQMOM is implemented in the code by representing each node of the quadrature approximation as a distinct solid phase. Since in the multi-fluid model, each solid phase has its own momentum balance, the nodes of the DQMOM approximation are convected with their own velocities. This represents an important improvement with respect to the quadrature method of moments (QMOM) where the moments are tracked using an average solid velocity. Two different aggregation and breakage kernels are tested and the performance of the DQMOM approximation with different numbers of nodes are compared. These results show that the approach is very effective in modeling solid segregation and elutriation and in tracking the evolution of the PSD, even though it requires only a small number of scalars. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:7 / 20
页数:14
相关论文
共 34 条
[11]   A comprehensive model for the prediction of particle-size distribution in catalyzed olefin polymerization fluidized-bed reactors [J].
Hatzantonis, H ;
Goulas, A ;
Kiparissides, C .
CHEMICAL ENGINEERING SCIENCE, 1998, 53 (18) :3251-3267
[12]   Discrete particle simulation of bubble and slug formation in a two-dimensional gas-fluidised bed: A hard-sphere approach [J].
Hoomans, BPB ;
Kuipers, JAM ;
Briels, WJ ;
vanSwaaij, WPM .
CHEMICAL ENGINEERING SCIENCE, 1996, 51 (01) :99-118
[13]  
Howley MA, 2002, CHEM ENG SCI, V57, P4209
[14]   SOME PROBLEMS IN PARTICLE TECHNOLOGY - A STATISTICAL MECHANICAL FORMULATION [J].
HULBURT, HM ;
KATZ, S .
CHEMICAL ENGINEERING SCIENCE, 1964, 19 (08) :555-574
[15]   Modeling of particle segregation phenomena in a gas phase fluidized bed olefin polymerization reactor [J].
Kim, JY ;
Choi, KY .
CHEMICAL ENGINEERING SCIENCE, 2001, 56 (13) :4069-4083
[16]   Simultaneous coagulation and break-up using constant-N Monte Carlo [J].
Lee, K ;
Matsoukas, T .
POWDER TECHNOLOGY, 2000, 110 (1-2) :82-89
[17]   A transport equation for the interfacial area density applied to bubble columns [J].
Lehr, F ;
Mewes, D .
CHEMICAL ENGINEERING SCIENCE, 2001, 56 (03) :1159-1166
[18]  
LO S, AEAT1096 AEA TECHN
[19]  
LUN C, 1984, J FLUID MECH, V223, P140
[20]   Modelling of the agglomeration in suspension process with multidimensional kernels [J].
Madec, L ;
Falk, L ;
Plasari, E .
POWDER TECHNOLOGY, 2003, 130 (1-3) :147-153