...
首页> 外文期刊>Journal of Polymer Science, Part B. Polymer Physics >Evaluation of Light Scattering Models to Characterize Concentrated Polymer Particles Embedded in a Solid Polymer Matrix
【24h】

Evaluation of Light Scattering Models to Characterize Concentrated Polymer Particles Embedded in a Solid Polymer Matrix

机译:光散射模型评估表征嵌入聚合物基体中的浓缩聚合物颗粒

获取原文
获取原文并翻译 | 示例
           

摘要

This work deals with the application of the static light scattering (SLS) model of Vrij (VM) for the characterization of a spherical polydisperse concentrated polymer particle system. This model is the exact solution for the SLS of such mixture of particles in the Percus-Yevick approximation. The analyzed polymer particle samples are obtained by solution polymerization of isobornyl methacrylate in polyisobutylene. At the end of the polymerization, as a result of phase separation, a particle system of micrometer sized particles with a moderate distribution of sizes and a volume fraction between 5 and 10% is formed. The SLS data were also analyzed using the local mono-disperse approximation (LMA), a well-known approximation to the model of Vrij. As expected, the estimations with the VM gave better results than those performed with the LMA model for the parameters related to the shape of the particle size distribution as compared with independent determinations of these quantities obtained from scanning electron microscopy micrographs. However, the main motivation to use the more rigorous model seems to be the fact that the volume fraction of particles can be extracted from the data even when relative SLS measurements are used.
机译:这项工作涉及Vrij(VM)的静态光散射(SLS)模型在表征球形多分散浓缩聚合物颗粒体系中的应用。该模型是按照Percus-Yevick逼近法对此类颗粒混合物的SLS的精确解。通过甲基丙烯酸异冰片酯在聚异丁烯中的溶液聚合获得分析的聚合物颗粒样品。在聚合结束时,作为相分离的结果,形成了微米大小的颗粒的颗粒系统,其具有适度的尺寸分布和5%至10%的体积分数。 SLS数据还使用局部单分散近似(LMA)进行了分析,LMA是对Vrij模型的众所周知的近似。不出所料,与从LMA模型进行的与粒度分布形状有关的参数相比,使用VM进行的估算与通过扫描电子显微镜显微照片获得的这些量的独立确定相比,得出的结果更好。但是,使用更严格的模型的主要动机似乎是这样一个事实,即使使用相对SLS测量,也可以从数据中提取颗粒的体积分数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号