A Statistical Model for the Hairiness of Cotton/Polyester Blended OE Rotor Yarns
Research and development
Authors:
- Baykal Pinar Duru
Department of Textile Engineering, Çukurova University, Adana, Turkey - Babaarslan Osman (j/w)
- Rizvan Erol
Department of Industrial Engineering, Çukurova University, Adana, Turkey
 Full text | Abstract: 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. |
Tags: yarn hairiness, rotor yarns, experimental design, fibre blending