Statistical kinetic modeling procedure for cationic polymerization and its application to polyisobutylene

Author:

Shim Sang H.12,Choi Junkeol2,Lee Seungcheol2,Lee Jay H.1ORCID

Affiliation:

1. Department of Chemical and Biomolecular Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea

2. Hanwha TotalEnergies Petrochemical Republic of Korea

Abstract

AbstractA statistical modeling procedure is established for carbocation polymerization with the characteristics of living with chain transfer. A single state model is suggested for cases of narrow molecular weight distribution, whereas a multi‐state model is claimed for cases of broad distribution. In the multi‐state case, it is demonstrated how the overall kinetics can be derived using the expectations and variances of the kinetic parameters rather than those of individual states, thereby simplifying the modeling step. Although the expectation and variance do not follow the relationship of the Arrhenius equation, a procedure is given for how to account for temperature dependence. The proposed statistical method minimizes the number of parameters to identify and therefore is expected to help establish a model with fewer experiments. The whole procedure is demonstrated through an experimental study of isobutylene polymerization.

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

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