Efficient stochastic simulation approach for RTM process with random fibrous permeability

Abstract

An efficient numerical approach is presented for the simulation of mold filling process with random fibrous permeability as input.

Three-dimensional reconstruction of resin flow using capacitance sensor data assimilation during a liquid composite molding process: A numerical study

“…Statistical modeling of permeability variations [5] or stochastic simulation of resin flow [6] has also been studied to further improve optimization of the processing conditions. However, it is almost impossible to control and optimize many factors involved in an LCM process prior to manufacturing.…”

A stochastic approach to model material variation determining tow impregnation in out-of-autoclave prepreg consolidation

“…Material and process variability issues were not studied in models developed for OoA prepregs. The consideration of uncertainties in composite material parameters was solely found in models for RTM processes [12] and concentrated on variations in fibre volume fraction. The mathematical realisation used in [12], applying the Karhunen-Loève (KL) representation and Probabilistic Collocation method (PCM) to solve stochastic differential equations, was pioneered by Ghanem and Spanos [13] and then applied to a wide range of problems involving input uncertainties.…”

BEM‐based models to simulate the resin flow at macroscale and microscale in LCM processes

“…Several methods have been developed to improve the location of the interface. Among them, some techniques are based on reconstruction schemes, such as simple line interface calculation or piecewise linear interface calculation , while others utilize some adaptive mesh refinements or Level Set Methods . The Level Set Methods are advanced numerical techniques developed to capture complex‐shaped interfaces occurring in two and three dimensions.…”