Yarn parameterization correlation using optical and capacitive sensors approaches

Abstract

This paper presents a study performed with a custom developed yarn parameterization system based on capacitive and optical sensors. It describes the statistical and signal processing correlation between the most common yarn parameters (diameter, mass and hairiness) determined with different technological approaches, and generally used to infer information about yarn quality. The designed sensors system is fully described. All data acquisition and processing is performed using a DAQ board form National Instruments (USB-6251) and custom software developed in LabVIEW     . The results obtained with a 100% cotton yarn with a linear mass of 295 g/km are presented, showing that there is a significant correlation between the different measured yarn parameters.I.

Recent research and developments on yarn hairiness

“…Other than image processing, some electronic sensor based systems were also suggested for yarn hairiness measurement by Carvalho et al [28][29][30][31][32][33][34][35][36][37] The hardware consisted of lenses, photodiodes, optical filter and diaphragm. The yarn sample after illumination with a helium neon laser beam was sensed by means of photodiodes and the digital signals were processed in LabView software.…”