Influence of Cotton Waste fibre Properties, Twist Multiplier and Yarn Linear Density on Open-End Yarn Quality.(Dept.T)
نویسندگان
چکیده
منابع مشابه
Estimation of Open-End Cotton Yarn Strenght from Fiber Physical Characteristics
Physical properties of cotton yarns are affected by the characteristics of cotton fibers such as fineness, length, maturity and strength. This relationship has been worked out by means of multivariable regression and stepwise method for an open-end spun (NeC 20) cotton yarn. Moreover, with the help of linear programming, it was made possible to determine the percentage of different cottons in t...
متن کاملEstimation of Open-End Cotton Yarn Strenght from Fiber Physical Characteristics
Physical properties of cotton yarns are affected by the characteristics of cotton fibers such as fineness, length, maturity and strength. This relationship has been worked out by means of multivariable regression and stepwise method for an open-end spun (NeC 20) cotton yarn. Moreover, with the help of linear programming, it was made possible to determine the percentage of different cottons in t...
متن کاملEffect of Fibre Blend Ratios on Yarn Properties
Yarn properties can be altered through blending fibres. According to the requirement different properties can be achieved by different blending ratios. Among the different blends cotton and polyester, cotton and wool, wool and acrylic, cotton and nylon, jute and acrylic, cotton and rayon etc are common. Flax and polyester has been a popular blend now-adays and depicts excellent properties than ...
متن کاملFiber 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 ...
متن کاملForecasting of Cotton Yarn Properties Using Intelligent Machines
An intelligence machine is a computer program that can learn from experience, i.e. modifies its processing on the basis of newly acquired information and thereafter makes decisions in a rightfully sensible manner when presented with inputs. Examples of such machine learning systems are artificial neural networks (ANNs), support vector machines (SVMs), fuzzy logic, evolutionary computation, etc....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: MEJ. Mansoura Engineering Journal
سال: 1988
ISSN: 2735-4202
DOI: 10.21608/bfemu.1988.172796