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首页> 外文期刊>Macromolecular theory and simulations >Predicting Polyethylene Molecular Weight and Composition Distributions Obtained Using a Multi-Site Catalyst in a Gas-Phase Lab-Scale Reactor
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Predicting Polyethylene Molecular Weight and Composition Distributions Obtained Using a Multi-Site Catalyst in a Gas-Phase Lab-Scale Reactor

机译：预测使用多位点催化剂在气相实验室级反应器中获得的聚乙烯分子量和组成分布

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摘要

A dynamic model is developed to predict detailed chain-length and comonomer incorporation behavior during gas-phase ethylene/hexene copolymerization using a supported hafnocene catalyst. The multi-site catalyst results in a copolymer with a broad orthogonal composition distribution (BOCD) where the high molecular-weight tail has high hexene incorporation. The model relies on gel permeation chromatography measurements obtained using multiple detectors (GPC-4D), so that the composition of the copolymer is determined for different chain-length fractions. Chain-length distributions are discretized into bins so that comparisons can be made between GPC-4D data and model predictions. Parameter estimation is aided by an estimability-ranking procedure and a mean-squared-error selection criterion to determine that 22 of 36 model parameters can be estimated using product characterization and reactor operating data from 10 semi-batch reactor runs. An additional 4 runs are used for model validation, confirming the predictive power of the model. The proposed model can aid the selection of reactor operating conditions to achieve targeted copolymer properties.
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