Simulation models for rapid liquid composite molding

High-fidelity prediction of the performance of composite structures is helpful for product development and is used increasingly more often by industry. The type of manufacturing process and process conditions will influence the material microstructure and induce defects, which will ultimately impact part performance. Liquid composite molding processes utilizing dry reinforcement fabrics and snap-cure liquid resins provide an efficient means to manufacture composite parts and have been adopted in several industry sectors. However, these processes typically involve automated fabric preforming and rapid resin infiltration/curing stages, which may introduce defects such as fabric wrinkling, unintended fiber orientations, and non-uniform degree-of-cure. Process simulation models can be used to predict local and macroscopic process-induced defects, and when coupled with performance simulation models enable the performance prediction of as-manufactured parts.

In this webinar, the discussion will focus on applications and implementation of an integrated process and performance simulation platform for high-pressure resin transfer molded non-crimp fabric/snap-cure epoxy composite parts subjected to impact loads.

Presenter:

John Montesano
Associate Professor
University of Waterloo

This presentation is part of the ongoing CKN webinar series. Content discussed in the webinar is linked to the Knowledge in Practice Centre, allowing users to access this and other content in a consistent and coherent manner.

This webinar is co-hosted by Composites Knowledge Network (CKN) and SAMPE Canada