Abstract
Abstract This paper presents a multi-response optimization technique to study the effect of linear density and fiber blend (%) on the chafe resistance of knitted fabric. As underwear fabrics come in direct contact with the skin, they demand better chafe resistance properties that depend on the frictional behavior of the garments. The objective of this study is to investigate the effect of different blends (%) of cotton, Coolmax, and micro polyester fibers, as well as two linear densities, i.e., 24/1s and 30/1s (Ne), on the friction and comfort properties of knitted underwear. The yarns’ frictional coefficient and tensile strength were tested. Thermo-physiological and tactile/hand properties of the knitted fabric were also investigated. It was concluded that both factors, blend % and yarn linear density, influenced fabric comfort properties. Combination of natural and synthetics fibers with finer linear density results in better-performing fabrics with regard to friction and moisture management. The statistical tool, analysis of variance, was used to evaluate the significance of the results. Grey relational analysis (GRA) was performed for the optimization of parameters and the sorting of the samples having the best-required properties. The sample containing 50 % cotton and 50 % micro polyester with a 30/1s yarn count was declared as the best sample based on the GRA.
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