A number of approximate methods for modeling aggregation of particulate suspensions have been extended to simulate breakup as well and have been tested by comparison with rigorous solutions for conditions representative of most aggregation-fragmentation processes. The simplest methods, based on a ge
High resolution algorithms for multidimensional population balance equations
✍ Scribed by Rudiyanto Gunawan; Irene Fusman; Richard D. Braatz
- Publisher
- American Institute of Chemical Engineers
- Year
- 2004
- Tongue
- English
- Weight
- 223 KB
- Volume
- 50
- Category
- Article
- ISSN
- 0001-1541
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Population balance equations have been used to model a wide range of processes including polymerization, crystallization, cloud formation, and cell dynamics. Rather than developing new algorithms specific to population balance equations, it is proposed to adapt the high‐resolution finite volume methods developed for compressible gas dynamics, which have been applied to aerodynamics, astrophysics, detonation waves, and related fields where shock waves occur. High‐resolution algorithms are presented for simulating multidimensional population balance equations with nucleation and size‐dependent growth rates. For sharp distributions, these high‐resolution algorithms can achieve improved numerical accuracy with orders‐of‐magnitude lower computational cost than other finite difference and finite volume algorithms. The algorithms are implemented in the ParticleSolver software package, which is applied to batch and continuous processes with one and multiple internal coordinates. © 2004 American Institute of Chemical Engineers AIChE J, 50: 2738–2749, 2004
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## Abstract A new numerical scheme is proposed for solving general dynamic population balance equations (PBE). The PBE considered can simultaneously include the kinetic processes of nucleation, growth, aggregation and breakage. Using the features of population balance, this method converts the PBE