Prediction of Knitted Fabric Regularity Degree Based on Yarn Regularity

Abstract

This study was carried out in order to predict the knitted fabrics irregularity based on yarn irregularity. Seven types of yarns were used. Using the Uster statistics of yarn mass irregularity, the knitted fabric specifications were determined. In order to build up a theoretical model, the sine function of the Non-linear regression function was applied for the different types of yarn used using the Origin program 8.5. The sine function was chosen because it shows the best fitting results compared with the different functions. The results obtained from the proposed model showed a high correlation and good significance. Furthermore, the results obtained using the Non-linear regression equations show optimal correlation with experimental results for the different types of yarns used in this study. The knitted fabric specifications were proposed for all yarn used in study.