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

Baykal P., BABAARSLAN O., Rizvan E.

FIBRES & TEXTILES IN EASTERN EUROPE, vol.15, no.4, pp.46-49, 2007 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 15 Issue: 4
  • Publication Date: 2007
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.46-49
  • Keywords: yarn hairiness, rotor yarns, experimental design, fibre blending, RING, SPUN
  • Çukurova University Affiliated: Yes


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.