A predictive model towards understanding the effect of reinforcement agglomeration on the stiffness of nanocomposites

J Compos Mater. 2022 May;56(10):1591-1604. doi: 10.1177/00219983221076639. Epub 2022 Mar 21.

Abstract

Nanocomposite technologies can be significantly enhanced through a careful exploration of the effects of agglomerates on mechanical properties. Existing models are either overly simplified (e.g., neglect agglomeration effects) or often require a significant amount of computational resources. In this study, a novel continuum-based model with a statistical approach was developed. The model is based on a modified three-phase Mori-Tanaka model, which accounts for the filler, agglomerate, and matrix regions. Fillers are randomly dispersed in a defined space to predict agglomeration tendency. The proposed model demonstrates good agreement with the experimentally measured elastic moduli of spin-coated cellulose nanocrystal reinforced polyamide-6 films. The techniques and methodologies presented in the study are sufficiently general in that they can be extended to the analyses of various types of polymeric nanocomposite systems.

Keywords: Polymer nanocomposites; elastic behavior; modeling; probabilistic methods; transmission electron microscopy.