Modeling and optimization of a seeded suspension polymerization process
Modeling and optimization of a seeded suspension polymerization process
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DOI：
10.1016/j.ces.2010.03.052
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发表时间：
2010-08
影响因子：
4.7
通讯作者：
Weijie Lin;L. Biegler;A. M. Jacobson
中科院分区：
文献类型：
--
作者：
Weijie Lin;L. Biegler;A. M. Jacobson
开发并验证了一种种子悬浮聚合工艺的数学模型，该工艺从预处理的聚烯烃种子开始制造聚苯乙烯珠粒。对于这种特殊产品的生产，我们专注于预测颗粒生长、聚合速率和颗粒平均分子量的动力学。特别强调的是，必须从产品的可用分析测量估计的可靠参数的采集。提出了一种参数子集选择和估计的混合方法。对于不同的产品等级，获得了良好的协议与实验结果。基于所提出的模型确定了影响珠粒性能的关键因素--单体加料速率，并确定了最佳的半间歇加料策略。改进后的策略也得到了中试工厂实验的实施和验证。
A mathematical model is developed and validated for a seeded suspension polymerization process that manufactures polystyrene beads starting from pretreated polyolefin seeds. For the manufacture of this specialty product, we focus on prediction of the dynamics of particle growth, polymerization rate and particle average molecular weight. Particular emphasis is placed on acquisition of reliable parameters which must be estimated from available analytical measurements of the product. A hybrid approach is proposed for parameter subset selection and estimation. Excellent agreement is obtained with experimental results for different product grades. The monomer feeding rate, which is a key controlling factor of bead properties, is determined based on the proposed model and an optimum semi-batch feeding policy is determined. This improved policy is also implemented and validated by pilot plant experiments.