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.

该项目的总体目标是开发新的流变方法和模型，以表征和预测聚合物多相体系的性能，并优化其与加工相关的性能。这个创新的项目应该产生新的和高度相关的数据，以及对这些复杂系统建模的新想法。良好表征的聚合物共混物（如聚丙烯（PP）和茂金属催化的乙烯共聚物（EC）的烯烃共混物）将被用来研究施加的应变对形态变化的影响，作为分散相的体积分数和聚合物组分的弹性的函数。将检查添加的纳米粒子的作用，以修改的组件的性能和稳定的共混物的形态。将实验数据进行比较，在最近的文献中提出的罕见的模型来预测不混溶共混物的形态变化的预测。这些模型将被推广到考虑聚合物组分的弹性。填充聚合物的流变性能的理解仍然非常差，特别是纳米和相互作用的颗粒悬浮液。我们将研究由多壁碳纳米管（MWCNTs）组成的模型聚合物悬浮液在牛顿环氧树脂和Boger流体中的非线性粘弹性，以模拟粘弹性效应。使用3辊混合器将未处理和处理的WMCNT混合到环氧树脂或Boger流体中。我们将建立这些模型悬浮液的流变行为作为浓度的函数，MWCNTs的表面处理，基质的弹性和预剪切（变形历史），使用独特的二维流变技术开发来探测流动下的纳米颗粒的内部结构，各向异性和取向。这些数据将用于评估和推广现有的结构和杰弗里型模型。