Yarn parameterization correlation using optical and capacitive sensors approaches

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 Lab VIEW
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. 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.