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5 March 2019 Optical sensing online: an interlacing yarn (Conference Presentation)
Maddalena Bertolla, Mario Scotoni
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Proceedings Volume 10915, Organic Photonic Materials and Devices XXI; 109150H (2019) https://doi.org/10.1117/12.2508667
Event: SPIE OPTO, 2019, San Francisco, California, United States
Abstract
Interlacing is commonly used in textile industries producing multi-filament yarn. The post processing of this yarn for the fabric production, such as weaving and knitting, requires the yarn to possess some periodic cohesion points, otherwise it would separate and break. In an interlacer, a continuous jet of compressed air impinges on a running yarn and the interaction of the yarn with the swirling air intermingles periodically the filaments of the yarn creating the desired entanglement regions, also called knots. A regular distance between knots is required to guarantee a homogeneous appearance of the final fabric. However, textile industries report an irregularity in the interlaced yarn: not-interlaced segments occur without a clear reason. Hence, industries are interested in monitoring on-line the process, in order to check and improve its regularity. A high speed imaging analysis of the yarn motion in an interlacer allowed us to better understand the process dynamics and we found out that the interaction of the yarn with the air vortexes plays a key role. In addition, we developed, tested and optimized an on-line cheap sensing technique using a photodiode, that allows to monitor the yarn regularity during the production at high yarn speed (2000 m/min). We evaluated also the stability of the sensor, employing it in an industrial environment. Initially, we performed an average analysis of the interlacing frequency considering some meters of yarn at a time, then we moved towards a punctual analysis, to evaluate the regularity, the strength and the shape of each knot.
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Maddalena Bertolla and Mario Scotoni "Optical sensing online: an interlacing yarn (Conference Presentation)", Proc. SPIE 10915, Organic Photonic Materials and Devices XXI, 109150H (5 March 2019); https://doi.org/10.1117/12.2508667
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KEYWORDS
Optical sensing
Environmental sensing
High speed imaging
Image segmentation
Motion analysis
Photodiodes
Sensors
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