Predicting the Tensile Properties of Air-Jet Spun Yarns

Abstract

Two modeling methods are used to predict the tensile properties of air-jet spun yarns. A numerical simulation provides a useful insight into the flow characteristics and wrap ping formation process of edge fibers in the nozzle of an air-jet spinning machine. By analyzing the results of the numerical simulation, the effects of nozzle parameters on yarn tensile properties can be predicted. A neural network model provides quantitative predic tions of yarn tenacity. The effects of parameters on yarn tenacity are also determined by the neural network model. Excellent agreement is obtained between these two methods.