Analysis of the local yarn elongation states during the highly dynamic stitch formation process using the example of high performance warp knitting

Abstract

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.