A new method for knitted fabric defect detection and classification using image analysis and
neural networks is presented. Images of six different induced defects were obtained and …

The modern textile Industry has been facing difficult challenges in creating a highproductivity
and high-quality-manufacturing environment. Such an environment requires improved …

The objectives of the research are to determine the impact of the retting methods and
blending percentage on the properties of kenaf fiber as well as the yarns and fabrics that …

Fiber-blending irregularities and fiber distribution in blended-yarn cross-sections are
particularly important in determining the mechanical, functional, and aesthetic properties of …

The fiber distribution in yarn structure influences the mechanical, aesthetic, and functional
properties of textile products, but methods for characterizing this distribution remain limited …

The blending ratio and blending irregularity of the blended yarn determine its property and
quality. In this article, the image processing method was introduced to accurately and …

The quality of blended yarn depends on the uniformity of the blending of the multi-
component fibers in the yarn, and sliver blending is a process necessary for mixing fibers …

Wool/polyester blended tops with different blend ratios are collected and made into fiber-
bundle specimens for tensile testing. From the specific stress-extension curves of the …

A new model is developed to evaluate the theoretical blend irregularity of a two‐component
blended yarn. By introducing the variation of the number of fibers per cross‐section along …

Developments in bioactive chitosan fibre production have recently allowed chitosan to be
applied to surfaces of nonfunctional fabric bases in its pure form or as a blend with other …