Evaluating the Performance of Fabrics for Sportswear

This book describes the differences between woven and knitted structures, provides an understanding of fabric behavior and the characteristics of a functional garment, and outlines the importance of garment fit and consumer perception of ..

Determination of yarn diameter

The authors describe the importance of, and difficulties inherent in, the measurement of yarn thickness. They measured the diameter under various compression and tension values on or intermediate bobbin of a circular knitting machine. Empirical formulae were obtained for compressed and tensioned thickness of wool, acrylic and cotton yarns

Lint generation: The effects of yarn production systems

Lint generation, which is occurred due to the yarn to yarn friction during the subsequent processing of the yarns is one of the yarn properties causing several problems such as fiber loss, decreasing in yarn strength, problems in machines and working environment during fabric production and showing itself as faults on fabrics. As a result of all, it causes decreasing in the production productivity. In this study, it was aimed to define the lint generation characteristics of the yarns produced by different production systems (ring, compact, rotor, RoCoS compact, siro). Lint generation tendencies of these yarns were tested by using CTT (Constant Tension Transport) instrument. Besides, the effects of the production systems, the influence of the winding process on lint shedding feature and the correlation between the yarn hairiness and lint generation was statistically investigated

Roughness of wool fabrics [Yün içeren çeşitli kumaşlarin pürüzlülük özelliğinin incelenmesi]

2-s2.0-85079901260Fuzz on the fabric surface affects the surface roughness of the fabric. Although parameters that influence fabric roughness have been comprehensively investigated, the literature on the measurement of fuzz on fabric surface is limited. In this paper, relationship between fuzz loft, fibre fineness and surface roughness of the wool fabrics were investigated. For this purpose, 10 different plain weave woollen fabrics produced from fibres having different fibre fineness values were selected. In order to measure fuzz loft on fabric surface, PillGrade Objective Pilling Evaluation System was used. Fibre fineness was measured by Leica Microscope and surface roughness was determined by Frictorq and Mitutoya Surface Roughness Testers. Results were evaluated by correlation analysis. According to the results, fiber diameter and fuzz loft values were found as significant factors on fabric roughness. © Chamber of Textile Engineers

Effects of enzymatic treatment on various spun yarn fabrics [Efekt obróbki enzymatycznej dzianin wykonanych z prz?dz snutych ró·znymi sposobami]

Pilling and fuzz, which were not a problem at all in previous years (especially for cotton fabrics), have become a major problem recently. Fibre type, the yarn spinning system, fabric type, and finishing process play an important role in the pilling properties of fabrics. In this study, single jersey fabrics knitted with 100% combed, carded and open-end cotton yarns were used. An enzymatic process for fuzz reduction was applied at different stages, and the effect of this on pilling, strength, weight loss and the colour differences of the fabric were tested. Previous studies on this subject were carried out with small-scale samples, and therefore do not reflect the facts exactly. For this reason, all the phases of this study were specifically carried out under common working conditions like those prevailing in industry

The Effect of Fiber Properties on the Characteristics of Spliced Yarns Part I: Prediction of Spliced Yarns Tensile Properties

In this study, the effects of splicing parameters, fiber and yarn properties on the tenacity and elongation of spliced yarns were investigated in detail. For this purpose, yarns from eight different cotton types, having three different counts (29.5, 19.7 and 14.8 tex) and three different twist coefficients (?tex 3653, ?tex 4038, ?tex 4423) were produced. Fiber properties measured using an Advanced Fiber Information System fiber tester were evaluated. Artificial neural network and response surface models were used to analyze spliced yarn tenacity and elongation as dependent variables. As independent variables, fiber properties together with the machine settings such as opening air, splicing air and splicing time, yarn twist and yarn count were chosen. As a result of the study, equations and neural network models that predict the tenacity and elongation of the spliced yarns were obtained. The obtained equations and models are statistically important and have high coefficient of multiple determination (R2). © 2010, SAGE Publications. All rights reserved