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Predictive models for strength of spun yarns: an overview

Ghosh A., Ishtiaque S., Rengasamy S., Mal P., Patnaik A.

Autex Research Journal

2005

Vol. 5, no. 1

20--29

Over the past century or so, determining the predictive models of yarn strength has been the subject of a number of investigations, because yarn strength is a principle component of yarn quality. The aim of these models is to enable the yarn strength to be predicted from the properties of its component fibres as well as other parameters. The development of predictive modelling of yarn strength is always significant both in theory and in practice. In this article, a review of various predictive models of yarn strength is presented.

The mechanism of end breakage in ring spinning: a statistical model to predict the end break in ring spinning

Ghosh A., Ishtiaque S., Rengasamy S., Patnaik A.

Autex Research Journal

2004

Vol. 4, no. 1

19--24

The mechanism of end breakage in ring spinning is a complex phenomenon, and is entirely different from the yarn failure mechanism during a tensile test. In this paper a possible mechanism of end breakage is reported. A statistical model is developed for predicting the likely end breakage rate in ring spinning. The important factors in governing end breaks are the mean yarn strength, yarn strength variation, mean value of the peak spinning tensions and the variation of yarn mass irregularity. Some practical aspects have also been discussed to tackle the problem of when the breakage rate suddenly increases.