Rheological properties of multiphase polymer systems

多相聚合物体系的流变特性

• 批准号: 5817-2013
• 负责人: Carreau, Pierre
• 金额: $ 2.55万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638047
• 关键词: Rheological; properties; multiphase; polymer; systems

The overall objective of this project is to develop novel rheological methods and models to characterize and predict the performances of polymer multiphase systems and optimize their properties in relation to processing. This innovative program should generate new and highly pertinent data, as well as new ideas for the modeling of these complex systems. Well characterized polymer blends (such as olefin blends of polypropylene (PP) and metallocene catalyzed ethylene copolymers (EC)) will be used to investigate the effect of imposed strain on the morphological changes as functions of the volume fraction of the dispersed phase and the elasticity of the polymer components. The role of added nanoparticles to modify the properties of the components and stabilize the morphology of the blends will be examined. The experimental data will be compared to the predictions of the rare models proposed in the recent literature to predict morphological changes in immiscible blends. These models will be generalized to account for the elasticity of the polymer components. The understanding of the rheological properties of filled polymers remains very poor, especially for suspensions of nano and interactive particles. We will examine the non-linear viscoelastic properties of model polymer suspensions consisting of multiwalled carbon nanotubes (MWCNTs) in a Newtonian epoxy and Boger fluids to mimic viscoelastic effects. Untreated and treated WMCNTs will be mixed to an epoxy or Boger fluids using a 3-roll mixer. We will establish the rheological behavior of these model suspensions as functions of concentration, surface treatment of the MWCNTs, elasticity of the matrix and pre-shearing (deformation history), using a unique 2D rheometric technique developed to probe the internal structure, anisotropy and orientation of nanoparticles under flow. The data will be used to assess and generalize existing structural- and Jeffery-type models.

该项目的总体目的是开发新颖的流变方法和模型，以表征和预测聚合物多相系统的性能并优化其与处理相关的特性。该创新计划应生成新的和高度相关的数据，以及这些复杂系统建模的新想法。具有良好特征的聚合物混合物（例如聚丙烯（PP）的烯烃混合物和金属钙催化的乙二基共聚物（EC））将用于研究施加的菌株对分散相和聚合物组合物弹性的体积分数的函数的形态变化的影响。将检查添加的纳米颗粒修改组分的性能并稳定混合物形态的作用。将将实验数据与最近文献中提出的稀有模型的预测进行比较，以预测不混合混合物的形态变化。这些模型将被推广以说明聚合物成分的弹性。对填充聚合物的流变特性的理解仍然很差，尤其是对于纳米和互动颗粒的悬浮液。我们将研究由牛顿环氧树脂和Boger流体中的多壁碳纳米管（MWCNT）组成的模型聚合物悬浮液的非线性粘弹性性能。未经处理和处理过的WMCNT将使用3滚式搅拌机混合到环氧树脂或Boger液体中。我们将建立这些模型悬浮液的流变行为作为浓度的功能，MWCNT的表面处理，矩阵的弹性和剪切前（变形​​历史）（使用独特的2D流变量技术）开发，以探测流动下的内部结构，各向异性和纳米颗粒的方向。数据将用于评估和推广现有的结构和杰弗里型模型。