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An Overview Over Yarn Mass Parameterization Methods

Authors:
Vítor Carvalho
Nuno Gonçpalves
Filomena Soares
Michael Belsley
Rosa Vasconcelos

Keywords: yarn mass parameters; optical signal processing;yarn hairiness; yarn diameter;capacitive sensors; optival sensors;image processing.

Abstract:
This paper presents a description of two different approaches to determine and measure the yarn mass parameters. The first approach (YSQ) is based on: a capacitive sensor to determine yarn mass and on optical sensors with Fourier optics to determine yarn hairiness and diameter. The second approach determines all yarn mass parameters using image processing techniques. Both approaches present innovative, low cost, portable and high-precision yarn evaluation testers, for quality control of yarn characteristics under laboratory conditions. It is believed that the solution based on image processing techniques allows a high level of advantages, among others, reduced hardware and maintenance necessities with a very high resolution. The software was developed in LabVIEW, using the toolbox IMAQ Vision for image processing.

Pages: 18 to 24

Copyright: Copyright (c) IARIA, 2011

Publication date: August 21, 2011

Published in: conference

ISSN: 2308-3514

ISBN: 978-1-61208-145-8

Location: Nice/Saint Laurent du Var, France

Dates: from August 21, 2011 to August 27, 2011