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Multivariate Analysis in Quality Design of Cotton Blends

M.E. Cabeço Silva, A.A. Cabeço Silva


In the world's textiles, economics and technology demand high quality in instruments to select fibers for quality design products.

Quality assurance and quality design begin with the purchase and selection of raw cotton. Testing of samples from every bale of cotton assures the mill of uniform blending for consistently yarn quality.

HVI systems give reliable raw cotton properties that are essential for product quality design and processing requirements.

Selection of fiber properties is important for uniform mixes and yarn quality design. Fiber and yarn properties involve a great number of variables and data.

When multiple variables are involved, the multivariate analysis is one statistical technique used to reduce the number of responses to a smaller set of variables.

We defend that is interesting to use multivariate analysis of the fiber's blends and the yarn's properties to design the yarn's quality.

In this work multivariate analysis is applied to design the cotton blends and the yarn quality.

Reprinted from Proceedings of the 1996 Beltwide Cotton Conferences pp. 1467 - 1471
©National Cotton Council, Memphis TN

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Document last modified Sunday, Dec 6 1998