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Optimisation of a novel direct-write dispenser printer technique for improving printed smart fabric device performance

机译:一种新型直接写入分配器打印机技术的优化,用于改善印刷智能织物设备性能

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Common fabrics such as cotton and polyester cotton have a rough and high porosity surface compared to typical printed electronics substrates such as FR4 and Kapton. This surface type adversely affects uniformity and performance of printed electronic layers. This paper reports for the first time, an optimisation process for a dispenser printable ink on 65% polyester 35% cotton blend woven fabric for printed smart fabric applications. In this work, the ink is an interface layer material, (Fabinks-IF-UV-1004) which is printed directly on the untreated fabric to provide a smooth homogenous platform allowing the printing of subsequent electronic ink layers. This work makes use of dispenser printing, a direct-write process where an electrically functional ink is directly deposited on the areas of substrate defined by a computer pattern. It is a novel state of the art process which has been developed for use in printed smart fabrics by the University of Southampton. It offers features of: custom digital patterning, the ability to print multi-layered and multi-material structures and is a rapid prototyping process. The optimised interface layer reduced the surface roughness of the fabric (characterised by surface roughness parameter Ra) by 74%. The optimisation of interface layer on the polyester cotton, detailed in this work, can be replicated on most types of fabrics.
机译:与典型的印刷电子基板(如FR4和Kapton)相比,棉和聚酯棉等常用织物具有粗糙和高孔隙率。这种表面类型对印刷电子层的均匀性和性能产生不利影响。本文首次报告了65%涤纶35%棉混合织物的分配器可打印油墨的优化过程,用于印刷智能织物应用。在这项工作中,墨水是界面层材料,(Fabinks-If-UV-1004),其直接印刷在未处理的织物上,以提供平滑的均匀平台,允许印刷后续的电子墨层。该工作利用分配器打印,直接写入过程,其中电功能油墨直接沉积在由计算机图案定义的基板区域上。它是一种新的技术过程,已经开发用于南安普敦大学印刷的智能面料。它提供了以下功能:自定义数字图案化,打印多层和多重材料结构的能力,是一种快速的原型工艺。优化的界面层将织物的表面粗糙度降低了74%的织物的表面粗糙度(以表面粗糙度参数Ra为特征)。在这项工作中详细说明了聚酯棉上的界面层的优化可以在大多数类型的面料上复制。

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