1862-8338/asset/olbannerleft.gif?v=1&s=5ebdb3321e618841fbc0c3a0b23eb6e5ea76b580)
1862-8338/asset/olbannerright.gif?v=1&s=2ba0e309cfc8f6d9f10c5fd5f9a68692244fd449)
Feature Article
Computer Aided Modeling of Polymer Reaction Engineering—The Status of Predici, I-Simulation
Article first published online: 4 SEP 2008
DOI: 10.1002/mren.200800024
Copyright © 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
1862-8338/asset/cover.gif?v=1&s=d7718641d2a0e910fec6ddb821edd35a4cc20158 "Macromolecular Reaction Engineering")
Additional Information
How to Cite
Wulkow, M. (2008), Computer Aided Modeling of Polymer Reaction Engineering—The Status of Predici, I-Simulation. Macromolecular Reaction Engineering, 2: 461–494. doi: 10.1002/mren.200800024
Publication History
- Issue published online: 12 NOV 2008
- Article first published online: 4 SEP 2008
- Manuscript Accepted: 9 JUL 2008
- Manuscript Revised: 7 JUL 2008
- Manuscript Received: 29 MAR 2008
- Abstract
- Article
- References
- Cited By
Keywords:
- Galerkin method;
- modeling;
- polymer reaction kinetics;
- population balances;
- simulation
Abstract
Over the last decade, the simulation package Predici has evolved from a solver for population balances describing molecular weight distributions in polymer reaction kinetics to a comprehensive tool for nearly all kinds of polymer processes. The key to Predici's wide-spread applicability might be its modular implementation reflecting the underlying mathematical concepts. Thus an overview on the current status of Predici and its applications has to start with a detailed description of the mathematical techniques and algorithms behind Predici. The second part of the article presents typical applications and modeling approaches including recent extensions of the algorithm and references to publications. A comprehensive appendix provides additional balances of the implementation.