Enhancement of the Folgar-Tucker model to predict filler orientation of filler blends and its application in the process simulation

增强 Folgar-Tucker 模型预测填料共混物的填料取向及其在工艺模拟中的应用

• 批准号: 327744866
• 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 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/327744866?language=en
• 关键词: Enhancement; Folgar; Tucker; model; predict

Not any polymer is ready for use after synthesis. Later particular applications usually require a more or less addition of fillers. Anisometric fillers (fibers and platelets) cause anisotropic part properties. These properties are usually predicted by means of simulation. The central model in these simulations is the Folgar-Tucker model, which describes process-depending filler orientation. As described in literature, the Folgar-Tucker model and its most imported parameter, the interaction coefficient, were only validated for fibrous fillers.At the moment, no knowledge about the orientation behavior of filler blends and its interaction mechanisms between different fillers exists. Thus, the goals of this research proposal are to investigate the orientation behavior of filler blends as well as the prevalent interaction mechanisms systematically. Based on this, the Folgar-Tucker model will be adapted to describe the filler orientation of filler blends. These adaptions will afterwards be validated at concrete plastic parts.

合成后，并不是任何聚合物都可以使用。以后的特定应用通常需要或多或少地添加填充物。各向异性填充物(纤维和小片)会导致零件性能各向异性。这些特性通常是通过模拟来预测的。这些模拟中的中心模型是Folga-Tucker模型，该模型描述了依赖于工艺的填料取向。如文献所述，Folga-Tucker模型及其最重要的参数--相互作用系数仅对纤维状填料进行了验证，目前尚不清楚填料共混物的取向行为及其在不同填料之间的相互作用机理。因此，本研究的目标是系统地研究填料共混物的取向行为以及普遍存在的相互作用机制。在此基础上，采用Folga-Tucker模型来描述填料共混物中填料的取向。这些改装之后将在混凝土塑料部件上进行验证。

项目成果

Application of the Folgar–Tucker model to predict the orientation of particles of different aspect ratios in polymer suspensions

应用 FolgarâTucker 模型预测聚合物悬浮液中不同长径比颗粒的取向

• DOI: 10.1515/polyeng-2021-0117
• 发表时间: 2021
• 期刊: Journal of Polymer Engineering
• 影响因子: 2
• 作者: J. Kattinger;S. Joas;F. Willems;M. Kreutzbruck;C. Bonten
• 通讯作者: C. Bonten