Predicting Cotton Yarn Hairiness in Rotor Spinning

Abstract

Yarn hairiness is an important yarn property like yarn evenness and strength. This property is affected by many fiber performances and processing parameters, which makes its prediction difficult also. In this study, we predicted the hairiness of the cotton yarn in rotor spinning using the ANN model. On the basis of the results obtained, with help of ANN analysis, we can predict the hairiness of the cotton easily and accurately. The results show that the ANN model yields more accurate and stable predictions, which indicates that the ANN theory is an effective and viable modeling method.