A Monte Carlo (MC) algorithm is presented for the simulation of the time evolution of aggregation processes featuring multiple components, properties, or conservation laws. Instead of using deterministic differential population balance equations, the MC algorithm utilizes a stochastic approach to ag
Implementation of a Modified Morton-Firth Algorithm for the Simulation of Polymerization Processes
β Scribed by Stanislaw Sosnowski
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 210 KB
- Volume
- 19
- Category
- Article
- ISSN
- 1022-1344
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
The first implementation of the MortonβFirth algorithm for the simulation of living/controlled polymerization processes is presented. Modifications were introduced to the native algorithm, improving its simplicity. The validity of the new algorithm was confirmed by comparison of results with analytical solutions or numerical integrations of appropriate differential equations. The kinetics of polymerization, molecular weights, and molecular weight distributions were precisely reproduced. The efficiency of the proposed algorithm is close to the stochastic simulation algorithm developed by Gillespie.
magnified image
π SIMILAR VOLUMES
new method is proposed to implement gain-scheduled controllers for nonlinear plants. Given a family of linear feedback controllers designed for linearizations of a nonlinear plant about constant operating points, a nonlinear gain-scheduled controller is derived that preserves the input-output proper
## Abstract The continuous tower process, a popular industrial process for the manufacture of polystyrene, was simulated and optimized. A kinetic model for the thermal polymerization of styrene, which takes into account the Trommsdorff effect and the volume change accompanying the reaction, was dev
## Abstract Processβoriented Knowledge Management aims at the integration of business processes and knowledge management. In order to provide knowledge for value adding activities within the business processes KM instruments and KM systems have to be adapted to business and knowledge processes. In