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Effects of Pretreatments on Print Qualities of Digital Textile Printing

机译:预处理对数字纺织品印花印花质量的影响

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摘要

Research presented in this paper addresses some preliminary attempts to establish the relationship between the pretreatment and the digital printing quality by the use of digital image analysis and optical microscopy. As in traditional textile printing, miss color, out of fit patterns, mottle, and color defects due to poor ink surface coverage can occur in digital printing. More specifically, defects in the digital printing of textile fabrics can be categorized into color-related issues (color gamut, color matching, light fastness, wash fastness and uniformity) and appearance-related issues (line definition, dot geometry, penetration, intensity and color registration). Woven and knitted cotton fabrics were treated with twelve formulations including ingredients like alginate, silicone and silica. Printed patterns were analyzed using an optical microscope and a digital image analysis to quantify the print qualities in terms of color-related metrics (L~*a~*b~*) and appearance-related metrics (line width). Results show that digital textile printing quality on cotton fabrics can be optimized with appropriate pretreatments.
机译:本文提出的研究致力于通过使用数字图像分析和光学显微镜来建立预处理与数字印刷质量之间关系的一些初步尝试。与传统的纺织品印刷一样,在数字印刷中可能会出现颜色不正确,图案不合适,斑点以及由于油墨表面覆盖率差而导致的颜色缺陷。更具体地说,纺织品数字印刷中的缺陷可分为与颜色有关的问题(色域,颜色匹配,耐光性,耐洗牢度和均匀性)和与外观有关的问题(线定义,点几何形状,渗透性,强度和颜色配准)。用十二种配方处理机织和针织棉织物,包括藻酸盐,硅酮和二氧化硅等成分。使用光学显微镜和数字图像分析对印刷的图案进行分析,以根据颜色相关的指标(L〜* a〜* b〜*)和外观相关的指标(线宽)来量化打印质量。结果表明,采用适当的预处理可以优化棉织物上的数字纺织品印花质量。

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