Significance of Non-Conventional Properties in Assessing Yarn Parameters

A range of cotton cultivars were grown during different crop years and locations in India. Four cotton cultivars were selected for fiber analysis and were spun in yarns of two different yarn counts with two different twist levels. The cotton fibers were analyzed by conventional instruments (HVI and FMT) and non-conventional parameters were also measured, e.g. wax content, number of reversals, convolution and orientation parameters. Statistical regression techniques were used to predict yarn parameters, first of all using only the conventional fiber parameters and then including the non-conventional parameters. An improvement in the prediction of yarn parameters can be obtained by including some of the non-conventional parameters in the equation. The quickly measured HVI and FMT parameters do not cover all factors influencing yarn quality in the assessment of yarn parameters.

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