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Color prediction in textile application

机译:色彩预测在纺织品中的应用

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摘要

Nowadays production systems of fancy yarns for knits allow the creation of extremely complex products in which many effects are obtained by means of color alteration. Current production technique consists in defining type and quantity of fibers by making preliminary samples. This samples are then compared with a reference one. This comparison is based on operator experience. Many samples are required in order to achieve a sample similar to the reference one. This work requires time and then additional costs for a textile manufacturer. In addition, the methodology is subjective. Nowadays, spectrophotometers are the only devices that seem to be able to provide objective indications. They are based on a spectral analysis of the light reflected by the knit material. In this paper the study of a new method for color evaluation of a mix of wool fibers with different colors is presented. First of all fiber characterization were carried out through scattering and absorption coefficients using the Kubelka-Munk theory. Then the estimated color was compared with a reference item, in order to define conformity by means of objective parameters. Finally, theoretical characterization was compared with the measured quantity. This allowed estimation of prediction quality.
机译:如今,用于针织品的花式纱线的生产系统可以生产出极其复杂的产品,其中通过变色可以获得许多效果。当前的生产技术在于通过制备初步样品来定义纤维的类型和数量。然后将该样本与参考样本进行比较。该比较基于操作员的经验。为了获得类似于参考样品的样品,需要许多样品。这项工作需要时间,然后需要纺织品制造商增加成本。另外,该方法是主观的。如今,分光光度计似乎是唯一能够提供客观指示的设备。它们基于对针织材料反射的光的光谱分析。在本文中,研究了一种对不同颜色的羊毛纤维混合物进行颜色评估的新方法。首先,使用Kubelka-Munk理论通过散射系数和吸收系数对纤维进行表征。然后将估计的颜色与参考项目进行比较,以便通过客观参数定义一致性。最后,将理论表征与测量数量进行了比较。这允许估计预测质量。

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