This paper addresses the development of a holistic nonlinear computational (FE-based) framework and tools for predicting large deformations of layered-silicate/PET nanocomposites near the glass transition. The framework combines together a nonlinear, rate- and temperature-dependent elastoviscoplastic constitutive model for the polymer matrix, Monte-Carlo based morphology reconstruction tools and nonlinear computational homogenization. The modelling framework can predict the large deformation behaviour of polymer nanocomposites in the processing regime. As a result, it can assist in the optimization of processing conditions for polymer nanocomposites to enhance their mechanical and physical performance. This work was part of the research, which was awarded the Composite Award 2009 from the Institute of Materials, Minerals and Mining (IOM3).
|Number of pages||1|
|Journal||Modelling and Simulation in Materials Science and Engineering|
|Publication status||Published - 2010|