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Thermal Analysis to Probe the Complex Bivariate Distribution (Molecular and Branching Distribution) of Ethylene-1-Alkene Copolymers

机译:热分析以探讨乙烯-1-烯烃共聚物的复杂双变量分布(分子和支化分布)

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It is well reported in the literature that the ethylene copolymers properties are driven by its molecular weight and comonomer content. For the case of narrow molecular weight and random copolymer distribution this relation is well understood. However, when there is a complex bivariate distribution, i.e, when the comonomer is broadly distributed across the molar mass; understanding between structure and properties is lacking. For any two similar overall molecular weight and comonomer content resins, its properties change drastically with the differences in its bivariate distribution. To understand and shed some light on the complex bivariate distribution and its impact on performance, in this study we selected ethylene copolymers with similar average molecular weight and comonomer contents, but having different end use properties. Melting and crystallization of whole resins are insufficient to correlate with differences in its properties. Hence these resins were cross fractionated based on molecular weight and comonomer content using laborious fractionation techniques.
机译:在文献中已充分报道了乙烯共聚物的性能是由其分子量和共聚单体含量决定的。对于窄分子量和无规共聚物分布的情况,这种关系是众所周知的。然而,当存在复杂的二元分布时,即当共聚单体广泛分布在整个摩尔质量时;缺乏对结构和性能之间的了解。对于任何两种相似的总分子量和共聚单体含量的树脂,其性能都会随其双变量分布的差异而急剧变化。为了理解并阐明复杂的双变量分布及其对性能的影响,在本研究中,我们选择了平均分子量和共聚单体含量相似但最终用途不同的乙烯共聚物。整个树脂的熔融和结晶不足以与其性质的差异相关联。因此,使用费力的分馏技术,根据分子量和共聚单体含量对这些树脂进行交叉分馏。

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