Worldwide yarn diversity in terms of structure and properties has increased in recent years. Especially composite yarns produced by multiple components have become very preferable in both weaving and knitting sectors. Among these yarns, core and dual core-spun yarn are more prominent in some areas due to their particular performance. In this study, the structure and properties of plain, elastane cored, and elastane + filament cored composite yarns, which were spun by using cotton as sheath fibers, are comparatively investigated. With a constant Ne 16/1 linear density, a carded yarn production line with modified ring-spinning system was used to produce the composite samples using 5.56% elastane ratio for both and 13.79% polybutylene terephthalate (PBT) ratio for dual core. It was observed that the strength of the composite yarns decreased, while the elongation values at the time of breaking tended to increase. There was some deterioration in transition from plain yarn to dual core composite yarn in terms of unevenness and yarn defects, while some improvement was observed in terms of yarn hairiness. In order to dwell on the causes of this situation, the surface and cross-sectional images of the yarns were also studied.

Elastic structures are opted in denim fabrics to increase elasticity and recovery properties of fabrics as well as comfort properties. In this study, performance properties of denim fabrics were evaluated comparatively as tensile strength, tearing strength, air permeability, mass change, dimensional stability, seam slippage, fabric growth, and stretchability. 100% cotton, core-spun and dual-core spun yarns (Ne 16/1) used at weft direction of denim fabrics. 100% cotton ring spun yarns (Ne 13.5/1) were used as warp yarns at all produced three denim fabrics. All the test results were measured numerically and evaluated statistically with one-way analysis of variance (ANOVA). There was significant difference found among fabrics for the variation of weft yarn structures from the statistical evaluation. The impact of varying washing processes on the stretch and growth (%) of denim fabrics was also revealed. Core-spun yarn containing denim fabric showed more growth and stretch percentage in all forms of washing processes. It was also found that packing density of yarns had a significant effect on air permeability of fabrics.

This study focused on predicting tensile properties of PES/CV/PAN blended Open-End Rotor yarns. The effective factors were fiber blend ratios (six stages from 0 to 100%), linear density (three count levels), mixing method (carding machine and drawframe), and number of passages in drawframe (one and two times) as production parameters. We performed a stepwise multiple linear regression (MLR) analysis and established an artificial neural network (ANN) model that trained with backpropagation rule as Levenberg–Marquardt. Then, we conducted a comparative analysis for both models in terms of prediction performance. As a result, ANN has given a slightly better prediction values than MLR for breaking strength but significantly better prediction values for breaking elongation.

Purpose: In textiles, dual-core yarn emerges as a remarkable innovation, made of two different core materials. This study aims to examine the characteristics of dual-core yarn manufactured from different sheath components, such as cotton (CO)/micro acrylic (MAC) blend (40/60% CO/MAC), CO/micro modal (CMD) blend (40/60% CO/CMD) and 100% CO fiber. Design/methodology/approach: The core materials for all yarns were elastane and T400® filament, incorporated using a modified ring frame. The influence of sheath components on yarn characteristics was evaluated. Statistical analysis using one-way ANOVA was conducted to determine significant differences in strength, elongation, unevenness, hairiness and yarn quality index among the produced yarns from the three sheath materials. Additionally, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was employed to rank the yarn samples based on overall performance. Findings: The use of different sheath components significantly influenced the yarn characteristics. Yarn produced with the 40/60% CO/CMD blend emerged as the most suitable, while yarn produced from 100% CO ranked as the least favorable. The ranking of yarn samples was performed using the TOPSIS multi-criteria decision-making method based on key yarn performance parameters. These findings reflect the critical impact of sheath fiber selection and yarn count on performance outcomes. Originality/value: This study presents a novel investigation of dual-core yarns incorporating CMD and MAC fibers as sheath blends with CO while using elastane and T400® filaments as dual-core components. Unlike previous studies that mainly used conventional CO or CO–polyester sheath materials, this work systematically explores the influence of micro fiber-based sheath blends on yarn performance. The proposed approach provides a structured method for optimizing dual-core yarn design for advanced textile applications.

Mixture spinning aims to bring together the best properties of two or more fiber types into one single yarn. In mixture spinning, while some fiber types have impacts to increase the yarn strength, the other fiber types may have impacts to improve the yarn unevenness values. In this study, it is aimed to obtain a regression model that predicts the unevenness (CVm%) of polyester/viscose/acrylic (PES/CV/PAN)-blended OE-rotor spun yarns. For this purpose, the methods of statistical analysis as analysis of variance and Combined Analysis were used. In the context of experimental design, basic parameters affecting the yarn unevenness were selected as: the type of fiber mixture (by carding machine or drawframe), blend ratio (from 0 to 100% at five different rates), and the yarn count (24, 30 and 36 tex). As a result, a statistically significant (p = 0.05) model has been established to estimate the unevenness of PES/CV/PAN blended OE-rotor yarns. In addition, two-dimensional surface graphics have been created to view CVm% values according to the fiber ratios in ternary mixtures. For all of the yarn samples, the increase in acrylic ratio has been found to have positive impact on the CVm% values.