DocumentCode :
756774
Title :
Yarn-Mass Measurement With 1-mm-Length Samples
Author :
Pinto, José G. ; Carvalho, Vítor ; Monteiro, João L. ; Vasconcelos, Rosa M. ; Soares, Filomena O.
Author_Institution :
Dept. of Ind. Electron., Univ. of Minho, Guimaraes
Volume :
54
Issue :
2
fYear :
2007
fDate :
4/1/2007 12:00:00 AM
Firstpage :
1177
Lastpage :
1183
Abstract :
In textile production, measurement of yarn mass in the 1-mm range is of utmost importance to properly evaluate evenness, as several irregularities occur in 1-4-mm yarn length. Direct measurements in the 1-mm range are not available in commercial equipment. One of the most common, from Uster, is based on yarn samples of 8 mm. This paper presents a direct mass measurement in the 1-mm range system based on parallel capacitive sensors and signal-processing techniques for detection of periodical errors. Results point out that evaluation of yarn mass, with this approach, is feasible in the 1-mm range, allowing online measurement (1-mm yarn mass) in a spinning frame for real-time control. Despite low signal-to-noise ratio, it is possible to measure small variations of yarn mass (typical capacity variation of 2.08times10-17 F for 57 tex-0.057 g/m of yarn). As a spin-off of this project, a new low-cost control system is being prepared for detection of yarn break and bobbin end in knitting flat machines. Online quality classification is also feasible with the developed system
Keywords :
capacitive sensors; error detection; knitting machines; mass measurement; quality management; real-time systems; signal processing equipment; textile industry; Uster; bobbin end detection; knitting flat machines; online measurement; parallel capacitive sensors; periodical error detection; quality classification; real-time control; signal-processing techniques; spinning frame; textile production; yarn-mass measurement; Capacitive sensors; Control systems; Length measurement; Mass production; Signal detection; Signal to noise ratio; Spinning; Textiles; Weight control; Yarn; Capacitive sensor; signal processing; yarn evenness;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2007.893051
Filename :
4140634
Link To Document :
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