title: Carded Tow Real-Time Color Assessment: A Spectral Camera-Based System.
abstract: 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.
authors: Department of Industrial Engineering, University of Florence (Italy), Firenze 50139, Italy. rocco.furferi@unifi.it.
authors: Rocco
authors: R
authors: Furferi
authors: Department of Industrial Engineering, University of Florence (Italy), Firenze 50139, Italy. lapo.governi@unifi.it.
authors: Lapo
authors: L
authors: Governi
authors: Department of Industrial Engineering, University of Florence (Italy), Firenze 50139, Italy. yary.volpe@unifi.it.
authors: Yary
authors: Y
authors: Volpe
authors: Department of Industrial Engineering, University of Florence (Italy), Firenze 50139, Italy. monica.carfagni@unifi.it.
authors: Monica
authors: M
authors: Carfagni
keywords: carding process; color assessment; spectral camera sensor; spectrophotometry