Analysis of Factors Affected the Permeability of Fabric Composites and the Predicting Model Construction

摘要

The relationships between the permeability of composites and the parameters of fabrics and interlinings were analyzed in the paper. The factors which had marked influences to the permeability were selected after relation analysis. Then five principal components were obtained by the principal method among the selected factors. Based on the five principal components, the predicted models of the permeability of composites were constructed by methods of neural network. And the correlated coefficient was 0.966 between the predicted and test values of the neural network model. The results showed that the predicted models had the potential value in permeability prediction.