The present study focuses on the evaluation of weft knitted fabric roughness using image processing. Various knitted fabric samples have been produced using flat and circular knitting machines. The SMD value of fabrics which refers to surface roughness has been measured by Kawabata surface tester.

This study focuses on the applicability of finite element method (FEM) to analyze the heat transfer behavior of plain interlock weft knitted fabrics. An interlock weft knitted fabric model is developed and analyzed using FEM software.

We examined and compared low-stress mechanical properties, such as tensile, shear, bending, compression, and surface properties, measured by the Kawabata Evaluation System for Fabrics (KES-FB), of polyethylene terephthalate (PET) and poly(lactic acid) (PLA) fabrics before and after softening with commercial softeners.

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