用统计模型预测喷墨加性电路的电气性能和打印几何

P. Lall, Kartik Goyal, Scott Miller
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引用次数: 2

摘要

本文建立了用于预测喷墨打印结构的物理和电气特性的统计模型。增材印刷电子产品通过制造方式不断发展和改进。由于许多原因,包括从设计阶段到制造阶段的时间缩短以及制造各种电子电路的可能性,人们对其产生了极大的兴趣。最近已经探索了不同的技术,这些技术具有极高的成本效益,可以使用不同类型的材料和基材。其中,喷墨技术作为一种可靠的办公环境设置技术,最近开始在印刷电子领域获得快速原型开发的吸引力。该技术可以很容易地集成到当前的增材制造工艺中,用于大规模生产和卷对卷工艺。然而,为了沉积金属纳米颗粒油墨等功能材料,Inkjet需要控制一定的参数来喷射细液滴,从而形成精细的打印结构。随着几种金属功能油墨的发展,它导致了耗时的过程,这是在制造设施中至关重要的。通过喷墨使用的最常用的油墨似乎是带有纳米颗粒配方的银或铜,但最近的发展表明,人们对无颗粒配方的油墨有了很大的兴趣,这种油墨具有低加工温度,可以帮助避免喷墨喷嘴堵塞。介绍了各种油墨的喷墨技术及其印后参数与工艺性能的关系。为帮助在开始打印过程之前预测某些物理和电气特性,为打印参数空间开发了一个实验设计(DOE)矩阵。作者的最终目标是有统计模型,可以用来实现所需的打印宽度和所需的电性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Electrical Performance and Print Geometry for Inkjet Additive Circuits via Statistical Modeling
In this paper, statistical models are developed for the prediction of Inkjet printed structures in regards to their physical and electrical characteristics. Additive printed electronics are constantly evolving and improving by the way they are manufactured. Immense interest is shown due to number of reasons, including the reduced time to manufacture from design stage and the possibilities in the fabrication of various electronic circuits. Different techniques have recently been explored that are extremely cost-effective and can use different types of materials and substrates. Among those, Inkjet, which has been established as a reliable technique in office environment setting, recently started gaining attraction in printed electronics for rapid prototype development. The technique can easily be integrated in current additive manufacturing processes for mass-scale up and roll-to-roll process. However, to deposit functional materials such as metal Nanoparticle inks, Inkjet requires control of certain parameters for fine droplet ejection, thus resulting in fine print structures. With the development of several metal functional inks, it results in time-consuming process that is crucial to avoid in a manufacturing facility. Most commonly used inks that are utilized via Inkjet appears to be either Silver or Copper with Nanoparticle formulations, but recent developments have shown promising interest in particle-free formulations of ink, with low processing temperatures and that can help avoid blockage of Inkjet nozzles. This paper introduces Inkjet technology with various inks and their process-property relationships against their post-print parameters. A design-of-experiments (DOE) matrix is developed for the print parameters space for help in prediction of certain physical and electrical characteristics before starting the print process. The authors’ final aim is to have statistical models that can be used to achieve the desired print width and desired electrical properties.
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