The Effect of Fiber Properties on the Characteristics of Spliced Yarns: Part II: Prediction of Retained Spliced Diameter

Abstract

The objective of the second part of the study is to investigate the retained spliced diameter with regard to splicing parameters and fiber and yarn properties. In order to analyze the effects of the fiber and yarn properties on the retained spliced diameter of ring spun cotton yarns, the yarns were produced from eight different cotton types in three yarn counts (29.5, 19.7 and 14.8 tex) and three different twist coefficients (α_tex 3653, α_tex 4038, α_tex 4423). To investigate the effects of splicing parameters on the retained spliced diameter, opening air pressure, splicing air pressure and splicing air time were set according to an orthogonal experimental design. The retained spliced diameter was calculated and predicted by using an artificial neural network (ANN) and response surface methods. Analyses showed that ANN models are more powerful compared with response surface models in predicting the retained spliced diameter of ring spun cotton yarns.

Keywords

ring spun cotton yarn splicing winding artificial neural networks response surface retained spliced diameter.

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