In this study an approach for neural networks evaluation of quality management (QM) is proposed. It is based on a checklist tool using a neural networks-based evaluation model. This approach enables the determination of the most important quality criteria and the generation of recommendations for improving the quality management in textile sector. A neural networks method is illustrated and val...

The textile manufacturing industry consists of a wide range of occupations including spinning, weaving, knitting, dyeing and finishing of natural and synthetic fibres to produce fabrics, yarns and carpets. The range of exposures in the industry includes textile related dusts, chemicals used in making synthetic textiles, sizing agents, oil mist, dyes, solvents, crease-resistance agents, flame re...

This paper aims at investigating novel solutions to the problem of textile defect detection from images, that can find applications in building robust quality control vision based systems in textile production. The proposed solutions focus on detecting defects from the textural properties of their corresponding wavelet transformed images. More specifically a novel methodology is investigated fo...

T HE model presented in this paper is a system of recursive linear regression equations, the parameters of which are estimated from monthly series of data covering the period, January, 1951, through December, 1962. The parameters relate certain exogenous and predetermined endogenous variables to apparel demand, apparel output, textile demand, textile output, and employment, earnings, prices, pr...

Textile structures realised by Additive Manufacturing (AM) techniques have received increasing attention during the previous decade. Due to their potential to significantly improve upon both the geometric complexity and functionality available from conventional fibre-based textiles, AM textiles present a serious opportunity to design and develop novel solutions for conventional and high-perform...

Textile composites are the materials in which the composition and internal structure is changed under controlled conditions so as to match their performance to the most demanding structural or non-structural roles. Textile reinforcement structure can be made of fibers, yarns or fabrics (woven, braided, knitted or non wovens) and are generally flexible. The application of traditional textile tec...

The textile industry is one of the biggest industries in the world and its wastewater is one of the most important threats to the environment and human health. In this study, the ability of Haloarcula sp. IRU1 to produce poly(3-hydroxybutyrate) (PHB) was investigated using a basal salts medium. Different factors like textile wastewater, yeast extract, and KH2PO4 (as carbon, nitrogen, and phosph...

Textile Reinforced Concrete (TRC) is a composite material made of open-meshed textile structures and a fine-grained concrete. Comparable to steel reinforcement the textile fabric bears the tensile forces released by the cracking of the concrete. Only a minimal concrete cover is required for the bond of the textile fabrics. Thus, the application of TRC leads to the design of filigree and lightwe...

Sorption technique is one of the most effective methods for recovering precious metals from wastewater solutions; however, its main drawbacks of the traditional sorbents are the slow kinetics and relatively low sorption capacities. As a solution, thin sorbent fibers have been highlighted because they can lead to fast adsorption kinetics due to their high surface areas and numerous binding sites...

The ever-increasing cost of labour in the textile industries coupled with rapid advances in technology has resulted in the automation of most sections in the present textile manufacturing industry. The recent addition to the automation drive, mostly in the last decade, has been substantial research in applying machine vision tools to replace humans for tasks such as inspection, textile characte...