The use of monte carlo techniques to study the effect of cotton fiber properties on yarm hairiness

Abstract

The advent of high speed looms and knitting machines has elevated hairiness to be one of the important yarn quality parameters. The factors which affect yarn hairiness include raw materials and processing parameters. Apart from affecting the processing and quality of yarn, hairiness also affects the subsequent yarn processing and fabric quality. In this paper a study of the effects of cotton fiber properties on yarn hairiness has been undertaken. Studies of yarn quality parameters previously reported used classical and modern techniques. Classical methods give low prediction efficiency but provide a model which can easily explain the factors affecting yarn parameters. On the other hand the modern techniques give very high prediction efficiency but are unable to explain the effect of the factors on yarn quality parameters in a manner that is easy to understand. In this paper the relationship between fiber and yarn hairiness was undertaken using statistical modeling and Monte Carlo simulation. The results indicated that yarn count (tex), fiber length, maturity and trash have a negative correlation with yarn hairiness, while yarn twist, fiber micronaire, strength, length uniformity and elongation exhibited a positive correlation.