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.
