Abstract
Aiming at the classic problem of pilling of polyester-cotton blended woven fabrics, pilling grades were evaluated by image analysis method to study the effects of yarn twist, spinning method, warp, and weft density, fabric cover factor and fabric singeing on pilling performance. The length and density distribution of fabric hairiness was studied by Nano measurer software. The respective roles of polyester and cotton fibers were studied by using scanning electron microscope and quantitative chemical analysis method. The experimental results showed that the factors for the best anti-pilling fabric are that yarn twist is 950 N/m, the spinning method is siro-compact spinning, warp density is 394 N/10cm, weft density is 265 N/10cm, fabric cover factor is 103.9%, and fabric should be singed. Cotton hairiness is fractured, which is wrapped by polyester hairiness to form pills. The frequency distribution of hairiness is approximately given by Gauss distribution. Mass ratio of polyester and cotton hairiness is nearly 66%/34%.
Highlights
Polyester-cotton blended woven fabrics are widely used in working textile markets
Frictional cohesion between fibers has a decisive effect on pilling performance of fabrics
The results demonstrate that the above factors have important effects on the pilling propensity of polyester-cotton blended woven fabrics
Summary
Polyester-cotton blended woven fabrics are widely used in working textile markets. Because there are a plenty of overwhelming advantages, which include pressure resistance, wrinkle resistance, stiffening, moisture absorption, low cost and so on.[1]. It is important to study on pilling performance of polyester-cotton blended woven fabrics to solve pilling problem. Producers improved pilling performance by optimizing factors including fibers (morphology,[3] modulus,[4] friction coefficient,[5] etc.), yarns (spinning method,[6] yarn twist,[7] yarn count,[8] etc.) and fabrics (structure,[9] cover factor,[10] etc.). The synergy of these factors determines pilling performance of fabrics. Rejali et al.[8] found that
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