Tencel Process Optimization in Conventional Cotton Processing Machineries and a Quality Comparison with Similar Cotton Yarn Count

Fiber and Yarn Properties Improve with New Cotton Cultivar

J. Foulk, USDA-ARS Cotton Quality Research Station (CQRS), Ravenel Center Room 10, McGregor Road, Clemson, SC 29634;W. Meredith, USDA-ARS Crop Genetics and Production Research Unit (CPGPRU), Cotton Physiology & Genetics, P.O. Box 314, Stoneville, MS 38776; D. McAlister, Uster Technologies, Inc., 456 Troy Circle, Knoxville, TN 37919; D. Luke, Cooper Power Systems, 1520 Emerald Rd, Greenwood, SC ...

Study on the Damaging of Dyed Cotton Fibers with Direct Dye in Spinning Processes and its Effect on the Properties of Cotton Mélange Yarn

The influence of dyeing and spinning on the characteristics of cotton fibers and its impact on the properties of cotton mélange yarn has been investigated. Grey cotton fibers with mean fiber length and fineness of 29 mm and 4.2 micronair were pre-treated and dyed. Three ring yarns were spun from 100 % grey cotton (R.R.Y), 50-50 % blend of dyed and grey cotton (M.R.Y) and 100 % dyed cotton fiber...

yield and fiber quality comparison of cotton planted in ultra narrow row and conventional row

management practices can affect the yield, maturity, and fiber quality of cotton. one practice used to increase yield has been to adjust the spacing between cotton rows. typically cotton is planted in row spaced 70-100 cm apart. ultra narrow row cotton production has been proposed as an economical means to increase yields and reduce production costs. a field study was conducted to assess the ef...

Cotton Yarn Engineering Via Fuzzy Least Squares Regression

Modeling of yarn and fiber properties has been a popular topic in the field of textile engineering in recent decades. The common method for fitting models has been to use classical regression analysis, based on the assumptions of data crispness and deterministic relations among variables. However, in modeling practical systems such as cotton spinning, the above assumptions may not hold true. Pr...

Two Robust Fuzzy Regression Models and Their Applications in Predicting Imperfections of Cotton Yarn