Reactivity ratios and sequence structures of the copolymers prepared by photo-induced copolymerization of MMA with MPMP

Zhou, Junyi; Zhang, Ting; Liu, Xiaoxuan

doi:10.1007/s10965-014-0532-2

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…At present, SLD modeling methods can be divided into two classes, namely probabilistic and deterministic methods. Probabilistic methods, which consider the relative probabilities of different comonomers inserting into the polymer chain, include direct probabilistic methods, triad sequence distribution approaches and kinetic Monte Carlo methods . Although these methods are easy to implement, reaction history information is sometimes ignored, which may result in inaccurate predictions.…”

Section: Introductionmentioning

confidence: 99%

Modeling of sequence length distribution for olefin copolymerization with vanadium‐based catalyst

Cheng

Feng

et al. 2019

AIChE Journal

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Some thermodynamic and mechanical properties of a polyolefin, such as the melting temperature and the rigidity, are dependent on the nature of its sequence distribution. Accurate modeling of sequence length distribution (SLD) is important in precisely tuning and optimizing the properties of polymers produced. In this article, we proposed a model to predict the molecular weight distribution (MWD) and SLD for olefin copolymerization with vanadium-based catalyst. Due to the 2,1-insertion of α-olefin with vanadium-based catalyst, the SLD is expressed by uninterrupted methylene sequence distribution instead of conventional triad sequence distribution. To obtain a reliable model, parameter estimation with experimental data is first conducted. The SLD model along with the estimated kinetic parameters can be used to predict unmeasurable sequence length fraction. For the experimental conditions studied, the average methylene sequence length is predicted to change from 10 to 4 units as the propylene/ethylene mole feed ratio increases from 1.1 to 3.4.

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Section: Introductionmentioning

confidence: 99%