Hybrid Device Fabrication Using Roll-to-Roll Printing for Personal Environmental Monitoring

卷到卷处理 制作 印刷电子产品 丝网印刷 材料科学 过程(计算) 基质(水族馆) 图层(电子) 聚对苯二甲酸乙二醇酯 纳米技术 计算机科学 数码产品 电气工程 工程类 替代医学 海洋学 医学 复合材料 地质学 操作系统 病理
作者
Thanh Huy Phung,Anton Nailevich Gafurov,Inyoung Kim,Sung Yong Kim,Kyoung Min Kim,Taik‐Min Lee
出处
期刊:Polymers [Multidisciplinary Digital Publishing Institute]
卷期号:15 (12): 2687-2687 被引量:10
标识
DOI:10.3390/polym15122687
摘要

Roll-to-roll (R2R) printing methods are well known as additive, cost-effective, and ecologically friendly mass-production methods for processing functional materials and fabricating devices. However, implementing R2R printing to fabricate sophisticated devices is challenging because of the efficiency of material processing, the alignment, and the vulnerability of the polymeric substrate during printing. Therefore, this study proposes the fabrication process of a hybrid device to solve the problems. The device was created so that four layers, composed of polymer insulating layers and conductive circuit layers, are entirely screen-printed layer by layer onto a roll of polyethylene terephthalate (PET) film to produce the circuit. Registration control methods were presented to deal with the PET substrate during printing, and then solid-state components and sensors were assembled and soldered to the printed circuits of the completed devices. In this way, the quality of the devices could be ensured, and the devices could be massively used for specific purposes. Specifically, a hybrid device for personal environmental monitoring was fabricated in this study. The importance of environmental challenges to human welfare and sustainable development is growing. As a result, environmental monitoring is essential to protect public health and serve as a basis for policymaking. In addition to the fabrication of the monitoring devices, a whole monitoring system was also developed to collect and process the data. Here, the monitored data from the fabricated device were personally collected via a mobile phone and uploaded to a cloud server for additional processing. The information could then be utilized for local or global monitoring purposes, moving one step toward creating tools for big data analysis and forecasting. The successful deployment of this system could be a foundation for creating and developing systems for other prospective uses.
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