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. R2 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.
Kenan Yildirim is with the Bursa Technical University, Turkey (e-mail:
kenan.yildirim@btu.edu.tr).
Suna Cetin is with the University of Kırıkkale, Turkey (e-mail:
scetin@kku.edu.tr).
Yusuf Ulcay is with the Uludag University, Turkey (e-mail:
ulcay@uludag.edu.tr).
[PDF]
Cite: Kenan Yildirim, Suna Cetin, and Yusuf Ulcay, "A New Regression Based Model for Estimation of the Process Parameters Affect for Texturing of Polyethylene Terephthalate (PET) Yarn," International Journal of Materials, Mechanics and Manufacturing vol. 3, no. 3, pp. 174-178, 2015.
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