VERIFICATION OF SMOM AND QMOM POPULATION BALANCE MODELING IN CFD CODE USING ANALYTICAL SOLUTIONS FOR BATCH PARTICULATE PROCESSES

作     者：Terry A.Ring 

作者机构：Department of Chemical Engineering University of Utah Salt Lake City UT 84112Fluent Inc. 10 Cavendish Court Lebanon NH 03766 

出 版 物：《China Particuology》 (CHINA PARTICUOLOGY)

年 卷 期：2006年第4卷第5期

页      面：243-249页

核心收录：

学科分类：080704[工学-流体机械及工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 080103[工学-流体力学] 070205[理学-凝聚态物理] 08[工学] 0807[工学-动力工程及工程热物理] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 0801[工学-力学（可授工学、理学学位）] 0702[理学-物理学] 

主　　题：population balance computational fluid dynamics particle process modeling 

摘      要：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.