Phase Equilibria and Self-Organization Behavior of Rigid-Rod Polymer Mixtures

刚性棒聚合物混合物的相平衡和自组织行为

• 批准号: 9529296
• 负责人: Thein Kyu
• 金额: $ 25.71万
• 依托单位: University of Akron
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-01-01 至 1999-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9529296&HistoricalAwards=false
• 关键词: Phase; Equilibria; Self; Organization; Behavior

9529296 Kyu This primary objective of the present project is to elucidate phase equilibria and self-organization behavior of crystallizable polymer blends containing rigid-rod molecules. To account for the coupling of phase separation and mesophase ordering, they have combined Flory-Huggins theory for isotropic mixing and Maier-Saupe theory for nematic ordering of binary nematic mixtures by taking into consideration the two orientational order parameters having two nematic-isotropic transitions. Customarily, the effect of molecular orientation has been ignored in the conventional thermodynamic or kinetic theory of crystallization of flexible homopolymers, although it has been generally known that flexible molecules indeed align among themselves during chain folding. They will incorporate the effect of chain orientation on the crystallization which is missing in the current crystallization theory of flexible homopolymers. The coupling between crystallization kinetics and phase separation dynamics of rigid-rod mixtures will be investigated by time-resolved scattering. %%% This is an important proposal that raises the potential for incorporating various theoretical predictions from different families of materials into a coherent picture with particular emphasis in advanced polymer and blends. ***

9529296 kyu本项目的主要目标是阐明含有刚性杆分子的可结晶聚合物混合物的自组织平衡和自组织行为。为了说明相位分离和中间体订购的耦合，它们通过考虑两个具有两个孕性 - 异位性转变的定向阶参数参数，将各向同性混合的Flory-Huggins理论和Maier-Saupe理论结合在一起，用于二元定位式混合物的nematic序列。 通常，在柔性均聚物的结晶的常规热力学或动力学理论中，分子取向的效果已被忽略，尽管人们普遍知道，在链折叠过程中，柔性分子确实在彼此之间确实对齐。 它们将结合链取向对柔性均聚物当前结晶理论的结晶的影响。 结晶动力学与刚性杆混合物的相分离动力学之间的耦合将通过时间分辨的散射研究。 %%％这是一个重要的建议，它提高了将不同材料家族的各种理论预测纳入连贯的图片的潜力，并特别强调了高级聚合物和混合物。 ***