Structural elucidation of network effects in highly filled polymers

高填充聚合物中网络效应的结构阐明

• 批准号: 316683943
• 负责人: Professor Dr.-Ing. Christian Bonten
• 金额: --
• 依托单位: Institut für Kunststofftechnik (IKT)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/316683943?language=en
• 关键词: Structural; elucidation; network; effects; highly

The modification of existing technical thermoplasts with active fillers, functional fillers or inactive fillers is a cost effective and commonly used way. Blending of different polymers with fillers is an essential way to develop new polymers in modern polymer processing, as well. Goal of the modification is always the change of physical properties. In this way active fillers are able to enhance the mechanical properties and elastic fillers are able to enhance the elongation behavior. Conductive fillers improve for example the electrical and/or the thermal conductivity of polymers. A high homogeneity of all modifiers in the polymers is very important in order to achieve the desired performance. Additionally, the modifiers should only change negligibly the flowability of the unmodified polymer due to changes in the processability. Up to now the common knowledge is, that the yielding behavior at low shear rates of highly filled polymers is caused by particle networks. The literature talks often about particle-particle interactions, which have not been investigated by images. Some sources report images, but cannot proof a particle-particle network. The aim of this research project is the gain comprehensive knowledge of the three-dimensional network structures of different fillers in various polymers. If - as has been described in the literature - some of these three-dimensional networks are refuted figuratively, although the yielding behavior occurs, the hypothesis of the applicant to should be investigated intensively. These studies are focused on the one hand distinguish the effects of different pairings of polar and nonpolar partners of matrix and secondly targeted lower molecular weights (shorter molecular chains) are used to reduce the influence of the particles environment. Thus, initially, various material-additive combinations with different selected additive geometries are combined by a compounding process. At low shear rates the yield behavior should occur and can be achieved with a rheometer. In this state, the samples are cooled and will be morphologically analyzed using various methods in all three dimensions. Quantification of structures depending on the deformation size can be quantified by the fractal dimension, as well. For this purpose the non-destructive testing is used in addition to extend the structural analysis. The characterization of the particulate structure by means of nondestructive testing even has the potential to be used as an online monitoring tool in industrial applications.

用活性填料、功能性填料或非活性填料对现有的工业热塑性塑料进行改性是一种具有成本效益且常用的方法。不同聚合物与填料的共混也是现代聚合物加工中开发新聚合物的重要途径。改性的目的总是物理性质的改变。以这种方式，活性填料能够增强机械性能，弹性填料能够增强伸长行为。导电填料改善例如聚合物的导电性和/或导热性。聚合物中所有改性剂的高度均匀性对于实现所需性能非常重要。另外，改性剂应仅使未改性聚合物的流动性由于加工性的变化而发生可忽略的变化。 到目前为止，常识是，在低剪切速率下的高填充聚合物的屈服行为是由颗粒网络引起的。文献中经常谈到粒子间的相互作用，而这还没有通过图像来研究。一些来源报告图像，但不能证明粒子-粒子网络。本研究项目的目的是获得各种聚合物中不同填料的三维网络结构的全面知识。如果-如文献中所述-这些三维网络中的一些被形象地反驳，尽管发生屈服行为，但应深入研究申请人的假设。这些研究的重点是一方面区分基质的极性和非极性伴侣的不同配对的影响，其次使用目标较低分子量（较短分子链）来减少颗粒环境的影响。因此，最初，具有不同的所选添加剂几何形状的各种材料-添加剂组合通过配混工艺组合。在低剪切速率下，应该发生屈服行为，并且可以用流变仪实现。在这种状态下，样品被冷却，并将使用各种方法在所有三个维度上进行形态分析。取决于变形大小的结构的量化也可以通过分形维数来量化。为此，除了扩展结构分析之外，还使用了无损检测。通过无损检测的颗粒结构的表征甚至有可能被用作工业应用中的在线监测工具。