Theirregularity of yam, usually referred as the change in the lineardensity of a fibre assemblage, is estimated by the coefficient ofvariation. Martindale came up with the equation to solve thetheoretical irregularity of yarn (caused by indiscriminate fibrealignment), it has been greatly used to analyse the hypothetical andactual (the tested) irregularity of yarn. Efforts have been made toimprove the whirling processing to continually produce even yarns.However, the scientific expression given by Martindale is based onthe hypothesis that all the fibres are alike in length, so the effectof fibre length distribution on yarn unevenness is not involved.Knowing that fibre length is influenced by fibre alignment in Yamsand also impact on the processing of yams especially in draughts,fibre distribution cannot be ignored as a leading factor to yamunevenness. Many scholars have dedicated their research to problemsthat lead to fibre length distribution [1-6]. Given yarn unevenness,the study and discussion focused on how to express the effect offibre length distribution on the theoretical unevenness. Suh’sModel [1] is broadly accepted among these researches due to itspreciseness in the calculation. He properly utilised the concept ofmoment expression and got the association among the hypotheticalunevenness and the actual fibre length distribution within aspecified interval of fibre array by analysing it haphazardly. Whenthe size of interval = to 0, same as given by Martindale. However,it’s also unrealistic to use Suh’s formula, for the involveddensity function of fibre length size is still difficult to attainnow. In this paper, to determine fibre lengths, silvers werecollected from cotton spinning mills and measured on a Qura LengthTesting Equipment (Premier Electronics Co., Ltd., India). To fit theprobability density function of fibre length distribution, anon-parametric kernel estimation method was used. On the base ofSuh’s model, the theoretical inequality of yarn was calculated andequated with the factual unevenness of yarn. This enabled the effectof fibre size spreading on speculative yam irregularity andadditional unevenness as a result of the irregular motion of someuncontrolled fibres during processing to be explored.

Zeidman,Suh and Batara (1990) defines Yarn unevenness, as the linear yamdensity along its length, and has always been one of the crucialfeatures of whirled yarns as it directly impacts many features of theyarn and the fabric. The random alignment of yam itself and as theresult of processing has led to two categories of yam unevenness,theoretical and additional unevenness (Yu, 2009). This unevenness inyams is mainly contributed by fibre fineness and length distribution(Martindale, 1950 Suh, 1976). Martindale (1945) presented atheoretical inequality of yam as the change of the cross-sectionalarea of the yam he made this assumption basing his idea on the factthat the fibres in a yam are similar in length. On the principle thatfibre length spreading followed a definite statistical distribution,Suh (1976) came up with the idea that, the variance in the cumulativelength of all fibres in a given length interval (Δ) to representyarn unevenness, without putting into consideration the changeabilityof fibre diameter. However, the notion of fibre length distributioninteraction with fibre fineness impacts yarn unevenness and fibrefineness had been empirically proved (Hequet & Ethridge, 2000).Zeidman et al. (1990) divided the general variance of yarn inequalityinto three inherent constituents: change of the mean fibre fineness,change of the figures of fibres in the cross-section and change ofthe mean quantity of fibre inclination comparative to yarn axis. Thetheory might be easily understandable, but each element is not easilyobtained. Outstandingly, the first element comprised a description offibre end density that was correlated with the study of the figuresof fibre ends in a section of a haphazard group by Brown and Ly(1985). It was evidenced that there is a positive correlation betweenfibre end density and fibre length distribution. This paper putsforward a figure of fibres in the cross section of a yam byencompassing fibre end density and quantitatively expresses themeasurement of variation of theoretical inequality to investigate theimpact of fibre length distribution and fibre fineness onhypothetical inequality of a yam.