A statistical model for the hairiness of cotton/polyester blended OE rotor yarns


Baykal P. D. , BABAARSLAN O. , Rizvan E.

FIBRES & TEXTILES IN EASTERN EUROPE, cilt.15, ss.46-49, 2007 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 15 Konu: 4
  • Basım Tarihi: 2007
  • Dergi Adı: FIBRES & TEXTILES IN EASTERN EUROPE
  • Sayfa Sayısı: ss.46-49

Özet

This study aimed to predict the hairiness of cotton/polyester blended rotor yarns using blend ratios and yarn count as predictor variables. A simplex lattice design with two replications at each design point was constructed to determine the combinations of mixture ratios of the fibre types. Cotton/polyester blended slivers were used to produce rotor yarns with five different counts on a laboratory-type rotor spinning machine (quickspin). Mixture-process crossed regression models with two mixture components and one process variable (yarn count, linear density) were built to predict hairiness properties. All statistical analysis steps were implemented, using Design-Expert statistical software.