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固体氧化物燃料电池电解质层卷对卷狭缝式模具涂布中油墨扩宽和涂布间隙的数值模拟

Numerical Modeling of Ink Widening and Coating Gap in Roll-to-Roll Slot-Die Coating of Solid Oxide Fuel Cell Electrolytic Layer.

作者信息

Kim Seongyong, Lee Jongsu, Jo Minho, Lee Changwoo

机构信息

Department of Mechanical Design and Production Engineering, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea.

Department of Printed Electronics Engineering, Sunchon National University, 255, Jungang-ro, Jeollanam-do, Suncheon 57922, Korea.

出版信息

Polymers (Basel). 2020 Dec 7;12(12):2927. doi: 10.3390/polym12122927.

DOI:10.3390/polym12122927
PMID:33297322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7762248/
Abstract

Slot-die coatings are advantageous when used for coating large-area flexible devices; in particular, the coating width can be controlled and simultaneous multi-layer coatings can be processed. To date, the effects of ink widening and the coating gap on the coating thickness have only been considered in a few studies. To this end, we developed two mathematical models to accurately estimate the coating width and thickness that consider these two effects. We used root mean square deviation (RMSD) to experimentally verify the developed method. When the coating gap was increased, the coating width increased and the coating thickness decreased. Experimental results showed that the estimated performances of the coating width and thickness models were as high as 98.46% and 95.8%, respectively. We think that the developed models can be useful for determining the coating conditions according to the ink properties to coat a functional layer with user-defined widths and thicknesses in both lab- and industrial-scale roll-to-roll slot-die coating processes.

摘要

狭缝式模头涂布在用于涂布大面积柔性器件时具有优势;特别是,涂布宽度可以控制,并且可以进行同步多层涂布。迄今为止,只有少数研究考虑了油墨展宽和涂布间隙对涂布厚度的影响。为此,我们开发了两个数学模型,以准确估计考虑这两种影响的涂布宽度和厚度。我们使用均方根偏差(RMSD)对所开发的方法进行实验验证。当涂布间隙增大时,涂布宽度增加而涂布厚度减小。实验结果表明,涂布宽度和厚度模型的估计性能分别高达98.46%和95.8%。我们认为,所开发的模型可用于根据油墨特性确定涂布条件,以便在实验室和工业规模的卷对卷狭缝式模头涂布工艺中,以用户定义的宽度和厚度涂布功能层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/4f116958db17/polymers-12-02927-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/c361c3299749/polymers-12-02927-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/2f1182bd6d56/polymers-12-02927-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/27b6b0a8889f/polymers-12-02927-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/9fc933170c17/polymers-12-02927-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/c06ed2fdf8d5/polymers-12-02927-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/fe6471290e26/polymers-12-02927-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/4f116958db17/polymers-12-02927-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/c361c3299749/polymers-12-02927-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/2f1182bd6d56/polymers-12-02927-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/27b6b0a8889f/polymers-12-02927-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/9fc933170c17/polymers-12-02927-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/c06ed2fdf8d5/polymers-12-02927-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/fe6471290e26/polymers-12-02927-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30a5/7762248/4f116958db17/polymers-12-02927-g007.jpg

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