Wang Yuanzhen, Xu Chensheng, Jahnke Timotheus, Verestek Wolfgang, Schmauder Siegfried, Spatz Joachim P
Department of Cellular Biophysics, Max Planck Institute For Medical Research, Jahnstraße 29, 69120 Heidelberg, Germany.
Institute For Molecular Systems Engineering (IMSE), Heidelberg University, Im Neuenheimer Feld, 69120 Heidelberg, Germany.
ACS Omega. 2022 Aug 11;7(33):28820-28830. doi: 10.1021/acsomega.2c01755. eCollection 2022 Aug 23.
Carbon black is the most frequently applied conductive additive in rubber and polymer composites. In this work, we show how a carbon black microstructure in a polymer matrix can be conclusively modeled based on carbon black aggregation as well as an agglomeration mechanism using a state-of-the-art mathematical model. This novel and flexible microstructural modeling method enables us to virtually investigate the morphology of conductive additives within a polymer matrix and can be adapted to many conductive polymer combinations used for different applications. Furthermore, we calculate the electrical conductivity of the composite using a finite volume-based as well as a discrete element-based simulation technique and validate the results with experimental data. Utilizing a novel discrete element method (DEM) modeling technique, we were able to improve calculation times by a factor of 12.2 compared to finite volume method (FVM) simulations while maintaining high accuracy. Using this approach, we are able to predict the required carbon black content and minimize the amount of additive to create a polymer composite with a designated target conductivity.
炭黑是橡胶和聚合物复合材料中最常用的导电添加剂。在本研究中,我们展示了如何基于炭黑聚集体以及团聚机制,使用先进的数学模型对聚合物基体中的炭黑微观结构进行确定性建模。这种新颖且灵活的微观结构建模方法使我们能够虚拟研究聚合物基体内导电添加剂的形态,并且可以适用于许多用于不同应用的导电聚合物组合。此外,我们使用基于有限体积法以及基于离散元法的模拟技术计算复合材料的电导率,并用实验数据验证结果。利用一种新颖的离散元法(DEM)建模技术,与有限体积法(FVM)模拟相比,我们能够将计算时间缩短12.2倍,同时保持高精度。使用这种方法,我们能够预测所需的炭黑含量,并将添加剂的用量降至最低,以制备具有指定目标电导率的聚合物复合材料。