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Parameter Estimation in a PO3G Model with Temperature Effects
Author(s) -
Vo AnhDuong Dieu,
Spence Rupert E.,
McAuley Kimberley B.
Publication year - 2021
Publication title -
macromolecular theory and simulations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.37
H-Index - 56
eISSN - 1521-3919
pISSN - 1022-1344
DOI - 10.1002/mats.202000061
Subject(s) - thermodynamics , condensation polymer , condenser (optics) , mass transfer , kinetic energy , evaporation , estimation theory , mathematics , chemistry , materials science , biological system , statistics , catalysis , organic chemistry , physics , light source , quantum mechanics , biology , optics
A comprehensive dataset containing 1779 measured values, collected from seven experimental runs, is used for parameter estimation in a model for batch polycondensation of biobased 1,3‐propanediol. The data are from dynamic experiments conducted between 160 and 180 °C using a super‐acid catalyst with concentrations between 0.1 and 0.25 wt%. The model accounts for generation, consumption, and evaporation of linear and cyclic oligomers, the inhibitory influence of water on the rate of polycondensation, and the dynamic behavior of an overhead condenser. In total, the model contains 70 kinetic, transport, and thermodynamic parameters. A mean‐squared‐error criterion reveals that the influence of temperature on mass‐transfer coefficients is significant. The model provides a good fit to the data and also gives reliable predictions of validation data that are not used in parameter estimation. Typical deviations between model predictions and data are within 1.75% of average measured values for linear and cyclic oligomers.