Volume 4 Issue 5
您当前的位置:首页 > 期刊文章 > 过刊浏览 > Volume 4 (2006) > Volume 4 Issue 5
Wan, B., & Ring, T. A. (2006). Verification of SMOM and QMOM population balance modeling in CFD code using analytical solutions for batch particulate processes. China Particuology, 4(5), 243–249. https://doi.org/10.1016/S1672-2515(07)60268-1
Verification of SMOM and QMOM population balance modeling in CFD code using analytical solutions for batch particulate processes
Bin Wan a b, Terry A. Ring a b *
a Department of Chemical Engineering, University of Utah, Salt Lake City, UT 84112
b Fluent Inc., 10 Cavendish Court, Lebanon, NH 03766
10.1016/S1672-2515(07)60268-1
Volume 4, Issue 5, October 2006, Pages 243-249
Received 8 March 2006, Accepted 20 August 2006, Available online 27 November 2007.
E-mail: ring@eng.utah.edu

Highlights
Abstract

For many processes of industrial significance, due to the strong coupling between particle interactions and fluid dynamics, the population balance must be solved as part of a computational fluid dynamics (CFD) simulation. In this work, a CFD based population balance model is tested using a batch crystallization reactor. In this CFD model, the population balance is solved by the standard method of moments (SMOM) and the quadrature method of moments (QMOM). The results of these simulations are compared to analytical solutions for the population balance in a batch tank where 1) nucleation, 2) growth, 3) aggregation, and 4) breakage are taking place separately. The results of these comparisons show that the first 6 moments of the population balance are accurately predicted for nucleation, growth, aggregation and breakage at all times.

Graphical abstract
Keywords
population balance; computational fluid dynamics; particle process; modeling