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Cotton Yarn Engineering Using Robust Regression and Criteria of Mallow’s Cp

Abstract:

The main purpose of the present study was to predict yarn's important properties i.e., tensile, unevenness, hairiness,
and imperfections of cotton yarn with minimum random errors and maximum accuracy. In this work, cotton fiber properties
were measured from rovings carefully untwisted. HVI system and evenness tester of Premier were used to measure the
various properties. All yarns (108 samples) were spun at yarn counts of 16, 20, 24, 28, and 32 Ne with optimum twist factor.
The robust regression and criteria of Mallow’s Cp were used to evaluate the data. Optimal equations with appropriate variables
and relative importance of various variables were also investigated. After the goodness of fit, desirable Cp and very
large adjusted R2 values were observed. Furthermore, the analysis of variance tables showed that the obtained equations were
significant at usual significance levels.
 

Keywords:

Robust regression, Mallow’s Cp, Imperfections of yarn, Cotton spinning, Quality properties of yarn

سال: 
2010
Journal Papers
ماه: 
July
نوع: 
Journal Papers
Year: 
2010

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Cotton Yarn Engineering Using Robust Regression and Criteria of Mallow’s Cp | دکتر سید عبدالکریم حسینی

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