Furferi Rocco, Governi Lapo, Volpe Yary, Carfagni Monica
Department of Industrial Engineering, University of Florence (Italy), Firenze 50139, Italy.
Sensors (Basel). 2016 Aug 31;16(9):1404. doi: 10.3390/s16091404.
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.
在通过混合预着色纤维生产纺织纱线的过程中，需要控制的最重要参数之一是制成的纱线与通常由设计师或客户提供的给定参考之间的颜色匹配度。从原始预着色纤维中获取纱线是一个复杂的制造过程，需要多个步骤，如实验室采样、颜色配方校正、吹棉、梳理和纺纱。梳理过程致力于将簇状纤维的“蓬松团块”转化为规则的未加捻纤维团块，即“丝束”。不幸的是，在这个过程中，无法确保丝束颜色与目标颜色之间的匹配度，从而导致纱线颜色与用作参考的颜色不同。为了解决这个问题，这项工作的主要目的是提供一种系统，该系统能够基于光谱相机对梳理后的丝束进行实时测量，评估其与参考梳理织物的颜色匹配度，同时在梳理过程中监测丝束的整体质量。在针对多种不同颜色的梳理织物进行测试时，所提出的系统证明了其在实时可靠评估颜色匹配度方面的有效性。
