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Prediction of branch on branch and topological characteristics of low-density polyethylene polymerization by a novel stochastic approach

机译:用新型随机方法预测低密度聚乙烯聚合的分支和拓扑特征

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摘要

A novel approach using Monte Carlo method applied to simulation of low-density polyethylene (LDPE) polymerization in tubular reactor showing topological characteristics, and the comprehensive kinetic mechanism has been taken into consideration. The results show the precise details of the structure of a chain in the three levels of the backbone, the main branches, and branches on branch. The chain types include dead polymer, dead polymer with unsaturated end, and live polymer with primary radical, secondary radical, and tertiary radical. In this work, the branches on branch were identified in terms of number, length, and position of the branch. Sixty percent of branches on branch are 1 to 5 carbons long, and the longest branch on branch is about 50 carbons. Thus, this study provides a tool for more accurately mapping the polymer chains architecture, superior to determine the number, and position of long- and short-chain branches in past researches. Finally, this approach will advance the prediction of microstructure-related properties of polymer one step further.
机译:一种新的方法,采用蒙特卡罗方法应用于模拟管状反应器中的低密度聚乙烯(LDPE)聚合的模拟,显示出拓扑特性,并考虑了综合动力机理。结果表明了骨架,主要分支和分支机构的三级链条结构的精确细节。链条类型包括死聚合物,具有不饱和末端的死聚合物,以及具有初级自由基,二次自由基和三级基团的活聚合物。在这项工作中,分支机构的分支在分支的数量,长度和位置鉴定。分支机构的六十个分支是1至5个碳,分支机构最长的分支是50个碳。因此,本研究提供了一种用于更准确地映射聚合物链架构的工具,优于确定过去的研究中的长链和短链分支的数量和位置。最后,该方法将进一步推进聚合物的微观结构相关性质的预测。

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