A New Regression Based Model for Estimation of the Process Parameters Affect for Texturing of Polyethylene Terephthalate (PET) Yarn

Abstract

Abstract-This study comprises investigations of the effect of false-twist texturing process parameters onto the properties of PET (polyethylene terephthalate) yarn and performing prediction equations based on a non-linear regression mathematical model. The effect of texturing parameters on the properties of PET filaments was characterized through measurements of boiling water shrinkage, shrinkage force, crimp stability and crimp contraction. The properties of the textured yarn can be altered by changing of mainly three parameters which are D/Yratio, draw ratio and first heater temperature. Yarn samples were produced in three different levels of each of selected parameters and tested. In order to obtain empirical formulas for predicting the change of textured PET yarn properties with respect to selected production parameters, the yarns were produced in 27 different combinations. The starting point of the empirical equation is based on a completely randomized variance analyses model. The coefficients of the curves fitted were computed by means of non-linear regression analysis. R 2 values for these curves were observed to be highly reliable being about 0.85. Index Terms-PET yarn, fals-twist texturing factors, physical and performance parameters, regression-based mathematical model.