Analysis of the local yarn elongation states during the highly dynamic stitch formation process using the example of high performance warp knitting
Ładowanie...
Data
2022
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
Most textile processing methods are dominated by highly inconstant and dynamic thread demands. In
terms of increasing production speeds in textile industry or the effort not to influence the fabric
appearance by machine stops etc., an effective control and parameterization of the machine is
indispensable. This requires precise knowledge of the actual condition of the thread during processing.
The state of the warp yarn sheet depends, for example, on the current yarn tension or elongation. While
the yarn tension can be easily measured with mobile yarn tension meters, the actual elongation of the
yarns is more difficult to observe in the highly dynamic process.
Since high-speed warp knitting is one of the most dynamic textile production processes, an observation
of the actual elongation states of the yarns to be processed during warp knitting is performed using highspeed
optical image acquisition and image recognition algorithms. These experiments and the results
are presented in this paper.
Opis
Słowa kluczowe
warp knitting, strain, elongation, thread, yarn, measurement, dzianie osnowowe, odkształcenie, wydłużenie, nić, przędza, pomiar
Cytowanie
Bruns M., Nocke A., Golla A., Cherif Ch., Analysis of the local yarn elongation states during the highly dynamic stitch formation process using the example of high performance warp knitting. W: AUTEX 2022 : 21st World Textile Conference AUTEX 2022 - AUTEX Conference Proceedings, Lodz University of Technology Press, Lodz 2022, s. 168-172, ISBN 978-83-66741-75-1, doi: 10.34658/9788366741751.35.