Optimal combinations of face and fusible interlining fabrics

Garments are now becoming high class and automated. Using key face fabrics and interlining structure properties to predict the quality grade of fused composites has become an important subject in the pursuit of quick reaction of fabrics. The establishment of the ideal composite parameters for interlining and face fabrics allows us to know the ideal interlining for face fabrics sooner. Hence, this paper, through discriminate analysis and the scatter plot, successfully found the ideal composite condition range for interlining and face fabrics. Artificial neural network training was used for the structural prediction of a fused composites quality model. Model tests showed the presence of good prediction ability.