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Mapping the Structure–Property Space of Bimodal Polyethylene Using Response Surface Methods. Part 2: Experimental Investigation of Polymer Microstructure and Yield Estimations

机译:使用响应表面方法将双峰聚乙烯的结构性质空间映射。第2部分:聚合物微观结构的实验研究和产量估计

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A proof of concept for a quick and easy determination of polymer microstructure and yield estimations made with dual catalyst systems through optimally designed experiments and response surface methodology has been experimentally established. Acceptable accuracy (predictedR(2) 0.9780) has been achieved on all the primary target responses (blend molar masses and short chain branching). These primary responses are further deconvoluted into underlying Flory distributions for resolution into component properties and subsequently modeled and predicted accurately (predictedR(2) = 0.7440 to 0.9897) for a given set of polymerization conditions. These models are also used to explore their ability to be used for polymerization kinetics evaluation using uptake curves for yield responses. Reasonable predictive ability for yield estimation is also observed (predictedR(2) = 0.9346). This methodology has the makings of a new simplified exploratory pathway for inexpensive kinetic investigation and product prediction for dual metallocene catalyst systems.
机译:通过通过最佳设计的实验和使用双催化剂体系进行快速简便地确定聚合物微观结构的概念证据和用双催化剂体系制备的产量估计并确定了反应表面方法。在所有主要目标反应(混合摩尔质量和短链支化)上已经实现了可接受的精度(预测仪(2)> 0.9780)。这些初级响应被进一步被剥去成潜在的血液分布,用于分离成分性质,随后为特定的一组聚合条件进行准确地建模和预测(预测(2)= 0.7440至0.9897)。这些模型还用于探讨它们使用用于产生响应的摄取曲线的聚合动力学评估的能力。还观察到合理的收益估计能力(预测(2)= 0.9346)。该方法具有新的简化探索性途径,用于双茂剂催化剂体系的廉价动力学调查和产品预测。

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