Application of ANOVA and AHP in Assessing the Quality of Roving Cotton-Polyester Siro Yarn

Amit Chakrabortty; Shahriar   Raian; Subrata Kumar  Saha; Jamal Hossen

doi:10.14502/tekstilec.68.2025018

Authors

Amit Chakrabortty Department of Textile Engineering, Ahsanullah University of Science and Technology, Dhaka-1208, Bangladesh Author https://orcid.org/0000-0002-8592-3757
Shahriar Raian Department of Textile Engineering, Ahsanullah University of Science and Technology, Dhaka-1208, Bangladesh; RCNMT, Sunway University, Selangor Darul Ehsan, Malaysia Author https://orcid.org/0009-0008-3367-2192
Subrata Kumar Saha Department of Textile Engineering, Ahsanullah University of Science and Technology, Dhaka-1208, Bangladesh Author https://orcid.org/0000-0003-3275-9559
Jamal Hossen Department of Textile Engineering, Ahsanullah University of Science and Technology, Dhaka-1208, Bangladesh Author https://orcid.org/0000-0001-5041-3573

DOI:

https://doi.org/10.14502/tekstilec.68.2025018

Keywords:

siro spinning, cotton-polyester roving blended yarn, analysis of variance, analytical hierarchy process

Abstract

Siro spinning, an evolution of ring spinning, optimizes parameters, such as roving strand distance and twist multiplier, thereby enhancing yarn quality according to numerous studies. Experts have differing opinions on the benefits of roving distances for yarn quality. However, the effect of roving distance on the roving blending technique in the ring frame has not been fully investigated. An integrated analysis of variance (ANOVA) and the analytical hierarchy process (AHP) based methodology are presented in this work to close the research gap between yarn quality attributes and roving strand distance in the context of roving blending. For this purpose, five yarn samples of 19.68 tex were developed using different roving distances, specifically 2 mm, 4 mm, 6 mm, 8 mm and 10 mm, within the drafting zone using a 50/50 cotton-polyester roving blending technique in a ring frame. Subsequently, the quality metrics of the yarn were studied, including variation concerning yarn mass (CVvm%), the imperfection index (IPI_Y) value, hairiness (HI), the count strength product (CSP_LS) value, elongation at break (e_br%) and the total quality index (TQI_YQ). The results revealed that yarn sample B, made using a distance of 4 mm, resulted in good yarn quality. An ANOVA demonstrated that roving distance had no significant effect on HI, e_b_r% or TQI_YQ. However, AHP assisted in determining the ideal roving strand distance among various options. The study's findings provide practical suggestions for determining the ideal roving strand distance for better blended yarn quality.

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