• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>RSC Advances >New insights into the elasticity and multi-level relaxation of filler network with studies on the rheology of isotactic polypropylene/carbon black nanocomposite
【24h】

New insights into the elasticity and multi-level relaxation of filler network with studies on the rheology of isotactic polypropylene/carbon black nanocomposite

机译：填充网络弹性和多层次放松的新见解与全同立方聚丙烯/炭黑纳米复合材料的流变学

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The elastic properties and multi-level relaxation behavior of a filler network in isotactic polypropylene/carbon black (iPP/CB) nanocomposites were systematically investigated, which was instructive for the development and application of viscoelastic materials. Based on a two-phase model, master curves of the elastic modulus of composites with different CB concentrations were built to describe the elastic feature of CB networks in the composites. From the elasticity of the networks, it was found that the critical volume of particle for the formation of the elastic network is 2.4 vol% and that the value of critical exponents is 5.1 +/- 0.3, indicating that the particle-particle interaction in the network is strong. Based on semi-dilute fractal theory, the value obtained for the fractal dimension of the filler network was d(f) = 2.0 +/- 0.1, which was in agreement with the reaction limited aggregation mechanism, namely that CB particles must overcome a great barrier to form a cluster. The relaxation behavior of the filler network was also studied. For composites with a CB content of 2.0 vol% (slightly lower than the elastic percolation threshold of 2.4 vol%), the relaxation behavior became slower with the extension of the annealing time. Furthermore, the CB particles aggregated to form a denser network or backbone and the distribution of relaxation units became narrower, leading to an increase of the relaxation modulus. For composites with a CB content of 13.6 vol%, 0.5 h annealing treatment brought a wider distribution of relaxation units, due to the formation of "short chains" of particles, while both relaxation time and relaxation modulus of the network increased. Further annealing treatment (>0.5 h) made no difference to the distribution of relaxation units and relaxation modulus of the network, but relaxation time of the networks kept increasing. The CB concentration dependence of the relaxation behavior of the network revealed that as CB content increased, the relaxation modulus of the filler network increased monotonously. However, both relaxation time and distribution of relaxation units decreased to a minimum value when CB content increased to 6.4 vol%, and then increased with CB content.
机译：系统地研究了填充物网络中填充网络的弹性特性和多级放松行为，对粘弹性材料的开发和应用是有意义的。基于两相模型，建立了具有不同CB浓度的复合材料弹性模量的主曲线，以描述复合材料中CB网络的弹性特征。从网络的弹性来看，发现弹性网络形成的粒度的临界体积为2.4体积％，临界指数的值为5.1 +/- 0.3，表明粒子粒子相互作用网络很强。基于半稀条分形理论，对填料网络分形尺寸的值为D（f）= 2.0 +/- 0.1，这与反应有限的聚集机制一致，即Cb颗粒必须克服伟大形成群集的障碍。还研究了填充网的放松行为。对于CB含量为2.0 Vol％的复合材料（略低于2.4体积％的弹性渗透阈值），松弛行为随着退火时间的延伸而变慢。此外，聚集的CB颗粒以形成更密集的网络或骨干，并且松弛单元的分布变得较窄，导致松弛模量的增加。对于CB含量为13.6体积％的复合材料，0.5小时退火处理带来了更宽的松弛单元分布，由于颗粒的“短链”形成，而网络的弛豫时间和松弛模量增加。进一步的退火处理（> 0.5小时）对弛豫单元和网络放松模量的分布没有差异，但网络的放松时间不断增加。网络的松弛行为的CB浓度依赖性显示，随着CB含量的增加，填充网络的松弛模量单调增加。然而，当CB含量增加至6.4体积％时，弛豫时间和弛豫单元的分布减少到最小值，然后用Cb含量增加。

著录项

  • 来源
    《RSC Advances》 |2015年第81期|共10页
  • 作者

    Yang Luqiong; Huang Shilin; Wu Feng; Zheng Shaodi; Yang Wei; Liu Zhengying; Yang Mingbo;

  • 作者单位

    Sichuan Univ Coll Polymer Sci &

    Engn Chengdu 610065 Sichuan Peoples R China;

    Sichuan Univ Coll Polymer Sci &

    Engn Chengdu 610065 Sichuan Peoples R China;

    Sichuan Univ Coll Polymer Sci &

    Engn Chengdu 610065 Sichuan Peoples R China;

    Sichuan Univ Coll Polymer Sci &

    Engn Chengdu 610065 Sichuan Peoples R China;

    Sichuan Univ Coll Polymer Sci &

    Engn Chengdu 610065 Sichuan Peoples R China;

    Sichuan Univ Coll Polymer Sci &

    Engn Chengdu 610065 Sichuan Peoples R China;

    Sichuan Univ Coll Polymer Sci &

    Engn Chengdu 610065 Sichuan Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学;
  • 关键词

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