Predicting mechanical properties and hand values from the parameters of weave structures

Abstract

After reviewing past work into the effect of weave structures on the mechanical properties of woven fabrics, an account is given of the present knowledge of weave structures, which represents one of the major problem areas in designing of fabrics for various end uses. The study also considers the effect of weave parameters on the comfort characteristics of woven fabrics. Properties measured under comfort properties were air permeability, thermal resistance, water vapour permeability, wickability, sinking time and three groups of fabrics produced from three types of yarns, namely 2/20s, 2/40s and 40s all cotton were examined for the correlation between weave parameters and mechanical properties. The first group comprised five fabric samples differing only in weave structures but similar in all other aspects. The second group comprised eleven fabric samples and the third group eleven fabric samples. An excellent highly significant correlation between CFF and FFF was noticed in all the cases. The work is reviewed both from the point of view of the fabric designer who wishes to be able to predict the likelihood that a particular weave will lead to better performance in terms of their mechanical and comfort properties, and the textile technologist who is not only interested in choosing the appropriate weave factor for maximum benefit, but would like to improve the fabric performance by changes or additions to established production routes. It is shown that the initial modulus of fabrics, which has been studied, is dependent upon the gauge length. It is shown that weave factors affect wickability, thermal resistance, sinking time and air permeability. Bending rigidity of fabrics without seams can be predicted with the aid of models provided by research workers. With vertical and horizontal seams, the prediction of bending rigidity is poor. The industrial implications of the study are fully discussed. newline newline newline