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Open AccessArticle

Carded Tow Real-Time Color Assessment: A Spectral Camera-Based System

Department of Industrial Engineering, University of Florence (Italy), Firenze 50139, Italy
Author to whom correspondence should be addressed.
Academic Editors: Giorgio Sberveglieri and Vittorio Ferrari
Sensors 2016, 16(9), 1404;
Received: 18 July 2016 / Revised: 19 August 2016 / Accepted: 26 August 2016 / Published: 31 August 2016
(This article belongs to the Special Issue State-of-the-Art Sensors Technologies in Italy 2016)
One of the most important parameters to be controlled during the production of textile yarns obtained by mixing pre-colored fibers, is the color correspondence between the manufactured yarn and a given reference, usually provided by a designer or a customer. Obtaining yarns from raw pre-colored fibers is a complex manufacturing process entailing a number of steps such as laboratory sampling, color recipe corrections, blowing, carding and spinning. Carding process is the one devoted to transform a “fuzzy mass” of tufted fibers into a regular mass of untwisted fibers, named “tow”. During this process, unfortunately, the correspondence between the color of the tow and the target one cannot be assured, thus leading to yarns whose color differs from the one used for reference. To solve this issue, the main aim of this work is to provide a system able to perform a spectral camera-based real-time measurement of a carded tow, to assess its color correspondence with a reference carded fabric and, at the same time, to monitor the overall quality of the tow during the carding process. Tested against a number of differently colored carded fabrics, the proposed system proved its effectiveness in reliably assessing color correspondence in real-time. View Full-Text
Keywords: spectrophotometry; spectral camera sensor; carding process; color assessment spectrophotometry; spectral camera sensor; carding process; color assessment
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MDPI and ACS Style

Furferi, R.; Governi, L.; Volpe, Y.; Carfagni, M. Carded Tow Real-Time Color Assessment: A Spectral Camera-Based System. Sensors 2016, 16, 1404.

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