Comparison of micromixing models for CFD simulation of nanoparticle formation

被引:73
作者
Wang, LG [1 ]
Fox, RO [1 ]
机构
[1] Iowa State Univ Sci & Technol, Dept Chem Engn, Ames, IA 50011 USA
关键词
micromixing; computational fluid dynamics (CFD); nanoparticle; reactive precipitation; probability density function (PDF) methods;
D O I
10.1002/aic.10173
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Reactive precipitation is an important research topic in chemical engineering because of its numerous industrial applications in the formation of nanoparticles. Recently, computational fluid dynamics (CFD) has been successfully coupled with micromixing models and probability density function (PDF) methods to predict the effect of mixing on the particle size distribution. The micromixing model is generally based on the presumed PDF method. The objective of this work is to compare multienvironment-presumed PDFs and a recently proposed direct-quadrature-method-of-moments-interaction-by-exchange-with-the-mean (DQMOM-IEM) micromixing model with transported PDF predictions for the simulation of reactive precipitation, including simultaneous mixing-limited reaction, nucleation, and growth in a plug-flow reactor. DQMOM is applied to calculate the turbulent spurious dissipation rate for the multienvironment micromixing models. The results show that the DQMOM-IEM model agrees well with the transported PDF simulations, even when the number of nodes used in DQMOM is small (such as 2-4). Given the computational efficiency of the DQMOM-IEM model relative to transported PDF methods, this model offers great promise as a practical CFD tool for simulating plant-scale reactors. (C) 2004 American Institute of Chemical Engineers.
引用
收藏
页码:2217 / 2232
页数:16
相关论文
共 35 条
[1]   A simultaneous determination of nucleation and growth rates from batch spontaneous precipitation [J].
Aoun, M ;
Plasari, E ;
David, R ;
Villermaux, J .
CHEMICAL ENGINEERING SCIENCE, 1999, 54 (09) :1161-1180
[2]   Are barium sulphate kinetics sufficiently known for testing precipitation reactor models? [J].
Aoun, M ;
Plasari, E ;
David, R ;
Villermaux, J .
CHEMICAL ENGINEERING SCIENCE, 1996, 51 (10) :2449-2458
[3]   MASS-TRANSFER TO MICROPARTICLES IN AGITATED SYSTEMS [J].
ARMENANTE, PM ;
KIRWAN, DJ .
CHEMICAL ENGINEERING SCIENCE, 1989, 44 (12) :2781-2796
[4]   MIXING-PRECIPITATION MODEL WITH APPLICATION TO DOUBLE FEED SEMIBATCH PRECIPITATION [J].
BALDYGA, J ;
PODGORSKA, W ;
POHORECKI, R .
CHEMICAL ENGINEERING SCIENCE, 1995, 50 (08) :1281-1300
[5]   Barium sulphate precipitation in a pipe - an experimental study and CFD modelling [J].
Baldyga, J ;
Orciuch, W .
CHEMICAL ENGINEERING SCIENCE, 2001, 56 (07) :2435-2444
[6]  
Dopazo C., 1994, TURBULENT REACTING F, P375
[7]   DIRECT NUMERICAL SIMULATIONS OF THE TURBULENT MIXING OF A PASSIVE SCALAR [J].
ESWARAN, V ;
POPE, SB .
PHYSICS OF FLUIDS, 1988, 31 (03) :506-520
[8]   EFFECT OF MIXING ON THE PRECIPITATION OF BARIUM-SULFATE IN AN MSMPR REACTOR [J].
FITCHETT, DE ;
TARBELL, JM .
AICHE JOURNAL, 1990, 36 (04) :511-522
[9]  
Fox R., 2003, COMPUTATIONAL METHOD
[10]   THE FOKKER-PLANCK CLOSURE FOR TURBULENT MOLECULAR MIXING - PASSIVE SCALARS [J].
FOX, RO .
PHYSICS OF FLUIDS A-FLUID DYNAMICS, 1992, 4 (06) :1230-1244