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Cellulose Nanofibril-Based Coatings of Woven Cotton Fabrics for Improved Inkjet Printing with a Potential in E-Textile Manufacturing

机译:纤维素纳米纤维基涂层纺织织物,用于改进喷墨印刷,具有E-纺织制造的潜力

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The roughness of woven fabrics strongly limits print quality, which is particularly critical in printing of conductive circuits on fabrics. This work demonstrates the use of wood-derived cellulose nanofibrils (CNFs) mixed with a plasticizer as coatings of woven cotton fabrics for inkjet printing using (i) conventional water-based pigment inks and (ii) conductive silver nanoparticle inks. CNFs, being similar in nature to cotton, introduced minimal alteration to woven cotton fabrics by preserving their visual appearance as well as their mechanical properties. We also showed that the use of CNF-based coatings facilitated ink droplet settling on the substrate, which ensured high quality with the potential of higher printing speed production. The coatings of CNFs plasticized with glycerol enabled concentrating the pigment on the surface of the fabric, preventing its penetration into the fabric depth, which allows for increasing the resolution of the printed pattern. When used for color ink printing, it enhanced the print chroma and permitted reducing the amount of deposited ink, yielding similar color lightness. The CNF coatings allowed for substantial reduction of the amount of silver ink when printing the conductive tracks on fabrics. Furthermore, the nature of the coating imparts flexibility to the conductive layer, while maintaining electric signal quality, even when folded. This study provides a platform for manufacturing sustainable and disposable e-textiles.
机译:编织织物的粗糙度强烈限制了印刷质量,这对于在织物上印刷导电电路特别关键。这项工作证明了使用与增塑剂混合的木材衍生的纤维素纳米纤维(CNFS)作为用于喷墨印刷的编织棉织物的涂层使用(i)常规水基颜料油墨和(II)导电银纳米粒子油墨。 CNFS与棉花相似,通过保留其视觉外观以及它们的机械性能来引入织造织物的最小变化。我们还表明,使用基于CNF的涂层促进了墨水液滴在基板上沉降,这确保了高质量的印刷速度产生的潜力。 CNFS的涂层用甘油塑化,使织物表面上的颜料浓缩,防止其渗透到织物深度中,这允许增加印刷图案的分辨率。当用于彩色墨水打印时,它增强了印刷色度并允许减少沉积油墨的量,产生类似的色光。当在织物上印刷导电轨道时,CNF涂层允许大幅减少银墨水量。此外,即使在折叠时,涂层的性质赋予导电层的柔韧性,同时保持电信号质量。本研究为制造可持续和一次性电子纺织品提供了一种平台。

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