Abstract
An efficient numerical approach is presented for the simulation of mold filling process with random fibrous permeability as input. Suitable dimension-reduction techniques are employed to represent all the random fields in the physical system. The required accuracy in tracking the moving resin flow front is guaranteed by the Level Set Method (LSM). The Probabilistic Collocation Method (PCM) is applied in the efficient solution of the non-linear stochastic system. Numerical examples for different injection schemes are presented to demonstrate the cost-effectiveness of the current approach in predicting the variability in mold filling results in comparison to the traditional Monte Carlo Simulation (MCS).
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