Abstract

In this work, bursting strength and pilling rating of polyester-cotton fibre blended three thread fleece fabric was predicted using Artificial Neural Network (ANN) Back Propagation (BP) model. Bursting strength and pilling has been predicted from 50 three thread fleece fabrics with different Stitch length, Grams per square meter (GSM), yarn counts and twist per inch. All three thread fleece fabrics has their own Bursting strength and pilling rate which was used for the prediction. To validate the two models in the training steps, training precision, and simulation precision, 40 fabrics were used for training and 10 fabrics were used for testing, and the predicted pilling property was obtained. The results shows that the predicted value of bursting strength and pilling rating are closer to the experimental values which are determined by ANN Back propagation (BP) model. This shows that optimized model with BP can predict the bursting strength and pilling rating of polyester–cotton three thread fleece fabrics with acceptable accuracy.