This research investigates the effect of fiber, yarn and fabric variables on the bagging behavior of single jersey weft knitted fabrics interpreted in terms of bagging fatigue percentage.

Energy absorption capacity is of great importance in engineering applications such as bumpers, helmets and packaging. Textile-made composites have attracted world's attention due to their high energy absorption and lightweight.

This article focuses on an approach based on the Taguchi method with grey relational analysis for optimizing the process parameters for open-end spun yarns with multiple performance characteristics. A grey relational grade obtained from the grey relational analysis is used to optimize the process parameters.

This research investigates the effect of fiber, yarn, and fabric parameters on curling phenomenon of single jersey

The aim of this work was to predict the bagging fatigue percentage of knitted fabrics produced from viscose/polyester blended rotor yarns using blend ratios and structural cell stitch lengths as predictor variables. A simplex lattice design was used to determine the combinations of blend ratios of the fiber types.

In this article, the effect of various yarn and fabric parameters on the electromagnetic shielding of metalized fabrics coated with polyaniline has been investigated.

The paper addresses the optimization of various machine parameters in rotor spinning system to obtain the highest quality index of cotton yarn produced from the ginning process waste.

Fiber-blending irregularities and fiber distribution in blended-

This paper focuses on measuring the roughness of knitted fabrics using a non-contact method. Research on objectifying the handle of textile fabrics is a very important factor in textile and garment manufacturing and retailing industries. Fabric handle is influenced by mechanical and surface properties.