Stress Relaxation of Viscose and Nylon Yarns
نویسندگان
چکیده
منابع مشابه
Automation in Measurement of Inverse Creep In Nylon Textile Yarns
From decades Creep has been known and studied for textile materials. In comparison, a newly observed phenomenon of inverse creep seems not to have received much attention. A new instrument has been fabricated to measure creep and inverse creep in textile materials particularly yarns. Creep and Inverse creep measurements of few of the textile yarns like nylon multifilament yarn, Polyester multif...
متن کاملNonlinear Maxwell modelling of inverse relaxation in yarns and fabrics
An attempt has been made to fit the derived equation on the experimental inverse relaxation curves by employing Levenberg-Marquardt’s method for nonlinear regression and calculation of the constant values involved in the equation. The relaxation curves can be classified into ordinary relaxation, mixed relaxation and inverse relaxation curves. There seems to be good concurrence between the exper...
متن کاملConducting nylon, cotton and wool yarns by continuous vapor polymerization of pyrrole
Conductive textile yarns were prepared by a continuous vapor polymerization method; the application of polypyrrole by the continuous vapor polymerisation method used is designed for the easy adaptation into industrial procedures. The resultant conductive yarns were examined by longitudinal and cross-sectional views, clearly showing the varying level of penetration of the polymer into the yarns ...
متن کاملUsing Artificial Neural Network Algorithm to Predict Tensile Properties of Cotton-Covered Nylon Core Yarns
Artificial Neural Networks are information processing systems. Over the past several years, these algorithms have received much attention for their applications in pattern completing, pattern matching and classification and also for their use as a tool in various areas of problem solving. In this work, an Artificial Neural Network model is presented for predicting the tensile properties of co...
متن کاملUsing Artificial Neural Network Algorithm to Predict Tensile Properties of Cotton-Covered Nylon Core Yarns
Artificial Neural Networks are information processing systems. Over the past several years, these algorithms have received much attention for their applications in pattern completing, pattern matching and classification and also for their use as a tool in various areas of problem solving. In this work, an Artificial Neural Network model is presented for predicting the tensile 
properties of ...
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: Journal of the Textile Machinery Society of Japan
سال: 1958
ISSN: 0040-5043,1881-1159
DOI: 10.4188/jte1955.4.2_32