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The polyolefin challenges: Catalyst and process design, tailor-made materials, high-throughput development and data mining

机译:聚烯烃面临的挑战:催化剂和工艺设计,量身定制的材料,高通量开发和数据挖掘

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Progress in catalytic olefin polymerization has led to the development of environmentally friendly and versatile polymeric materials which meet the demands of sustainable development and serve the needs of modem technologies. Polymer architectures and property profiles are tailored as a function of catalyst structures and process conditions. The scope of single site catalyst technology has been expanded well beyond that of metallocene-based systems to produce novel families of 1-olefin, styrene, diene and cycloolefin polymers, ranging from engineering plastics to flexible packaging and rubbers. Short- and long chain branches are introduced via copolymerization and "chain walking" in order to control polymer crystallization and polymer processing. Novel group 10 catalyst generations tolerate functional comonomers and afford aqueous polyethylene dispersions. Computer sciences, engineering and information technology are combined to exploit the potential of combinatorial chemistry and on-line monitoring in high-throughput catalyst and polymer development. Data mining tools track correlations ("fingerprints") between spectroscopic data, process parameters and catalyst as well as polyolefin properties, thus promoting high throughput development, modeling, rapid on-line analyses, as well as quality assurance. Selected recent advances are reviewed to highlight trends and opportunities in polyolefin science and technology. [References: 58]
机译:催化烯烃聚合的进步导致了对环境友好和通用的聚合材料的开发,这些材料满足了可持续发展的需要并满足了现代技术的需求。根据催化剂结构和工艺条件调整聚合物的结构和性能曲线。单中心催化剂技术的范围已大大超出了基于金属茂的系统的范围,可生产从工程塑料到软包装和橡胶的新型1-烯烃,苯乙烯,二烯和环烯烃聚合物。短链和长链支链通过共聚和“链行走”引入,以控制聚合物的结晶和聚合物的加工。新一代的第10组催化剂可耐受功能性共聚单体并提供水性聚乙烯分散体。将计算机科学,工程学和信息技术相结合,以开发组合化学的潜力,并在高通量催化剂和聚合物开发中进行在线监测。数据挖掘工具可跟踪光谱数据,工艺参数和催化剂以及聚烯烃特性之间的相关性(“指纹”),从而促进高通量开发,建模,快速在线分析以及质量保证。回顾了近期的一些进展,以突出聚烯烃科学技术的趋势和机遇。 [参考:58]

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