Where you are: Home pageYear 2008Issue (66) → Article:
AAA     ENG | POL

Neural Model of the Spinning Process Dedicated to Predicting Properties of Cotton-Polyester Blended Yarns on the Basis of the Characteristics of Feeding Streams

Research and development

Authors:

Download... PDF
Full text

Abstract:

The subject of our research were yarns manufactured from cotton-polyester blended slivers, as well as pure cotton and polyester slivers with the use of a BD 200S rotor spinning frame. Partial models of the spinning process were developed for selected, essential yarn quality parameters, such as tenacity, irregularity of yarn’s mass, hairiness, number of yarn faults (number of thin and thick places and number of neps). In order to model the variability of these parameters, the following methods were used: linear and linearised regression, non-linear multiple regression as well as ADALINE and two-layer perceptron (MLP) artificial neural networks. The best results of approximation we obtained using the MLP network. Selection of the optimum network structure was carried out for each of the parameters. A hybrid model was used to model the variability of the CV coefficient.

Tags: yarn blends, cotton, polyester-fibres, rotor spinning, yarn quality parameters, linear regression, non-linear regression, artificial neural networks.

Published in issue no 1 (66) / 2008, pages 28–36.

CONTACT:

FIBRES & TEXTILES
in Eastern Europe
ul. Skłodowskiej-Curie 19/27,
90-570 Łódź, Poland
tel. (48-42) 638-03-14
tel. (48-42) 638-03-63
e-mail: infor@ibwch.lodz.pl

EDITORIAL OFFICE
ul. Skłodowskiej-Curie 1927, 90-570 Łódź, Poland • tel.  (48-42) 638-03-14 • e-mail: infor@ibwch.lodz.plhttp://www.fibtex.lodz.pl

EDITORIAL DEPARTMENT
Editor-in-Chief Emilia Jaszczurska-Niedźwiedzka, V-ce Editor-in-Chief Marta Cyrczak, Text Editor Geoffrey Large, Assistant Editor Anna Wahl, Typesetting and Printed at Media-Press • Production IBWCh

facebook