Dielectric properties of textile materials have been used in process and quality control in relation to the moisture content, unevenness, drying, static generation, etc. Although dielectric properties of fibres and fibrous assemblies have been the subject of study of many researchers for a long time, the understanding of the subject, however, is still incomplete. With the advent of new characte...

A need exists for artificial muscles that are silent, soft, and compliant, with performance characteristics similar to those of skeletal muscle, enabling natural interaction of assistive devices with humans. By combining one of humankind's oldest technologies, textile processing, with electroactive polymers, we demonstrate here the feasibility of wearable, soft artificial muscles made by weavin...

The Indian textile industry has a major impact on the world economy through millenniums. At present all the textile industries aim to produce competitive fabrics. The competition depends mainly on productivity and quality of the fabrics produced by industry. In the textile sector, there are huge losses due to faulty fabrics. Fault identification in the manufactured fabric is the most complicate...

In this study, we developed a feasible structure of a textile-based inductive sensor using a machine embroidery method, and applied it to a non-contact type vital sign sensing device based on the principle of magnetic-induced conductivity. The mechanical heart activity signals acquired through the inductive sensor embroidered with conductive textile on fabric were compared with the Lead II ECG ...

The textile dyeing units of Pallipalayam area of Namakkal District play a vital role in polluting the river Cauvery directly and spoiling the underground water levels indirectly by letting off their dyeing effluents. This leads to serious environmental hazards of aquatic organisms. In the present study, the textile dyeing effluents of six major textile dyeing units (ST1, ST2, ST3, ST4, ST5 and ...

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...