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Simulating cumulative distributions under transient conditions in well‐mixed, continuous and batch polymerization reactors
Author(s) -
Sachs William H.
Publication year - 2004
Publication title -
macromolecular symposia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 76
eISSN - 1521-3900
pISSN - 1022-1360
DOI - 10.1002/masy.200450203
Subject(s) - transient (computer programming) , materials science , polymerization , molar mass distribution , process (computing) , cumulative distribution function , polymer , continuous stirred tank reactor , nuclear engineering , thermodynamics , process engineering , chemical engineering , mechanics , computer science , mathematics , physics , probability density function , composite material , engineering , statistics , operating system
Instantaneous property methods are applied to the simulation of cumulative distributions of polymer chain architecture in well‐mixed, continuous and batch reactors. We show how cumulative distributions can be simulated under transient conditions using a general convolution integral and suitable output from a dynamic reactor simulation package such as POLYRED TM . We also show how the state equations that describe a polymerizing system can be augmented for direct simulation of these distributions. Examples of the impact of catalyst kinetics, reactor operating policies, and process upsets on the molecular weight distribution of bimodal high molecular weight polyethylene produced in well‐mixed, stirred‐bed gas‐phase reactors are simulated for a binary transition‐metal catalyst system.