A study on model development of the slot-die coating process through the statistical analysis

Author(s):  
Janghoon Park ◽  
Jinwoo Seong ◽  
Hyunkyoo Kang ◽  
Keehyun Shin
2015 ◽  
Vol 39 (9) ◽  
pp. 937-945
Author(s):  
Eung Soo Seo ◽  
Jungwoo Ye ◽  
Joong Kook Hwang ◽  
Jaesool Shim ◽  
Young Suck Chai

2020 ◽  
Vol 8 (4) ◽  
Author(s):  
Dipankar Behera ◽  
Daniel Liao ◽  
Michael A. Cullinan

Abstract This work seeks to develop a fundamental understanding of slot-die coating as a nanoparticle bed deposition mechanism for a microscale selective laser sintering (μ-SLS) process. The specific requirements of the μ-SLS process to deposit uniform sub-5 μm metal nanoparticle films while enabling high throughput fabrication make the slot-die coating process a strong candidate for layer-by-layer deposition. The key challenges of a coating system are to enable uniform nanoparticle ink deposition in an intermittent layer-by-layer manner. Identifying the experimental parameters to achieve this using a slot-die coating process is difficult. Therefore, the main contribution of this study is to develop a framework to predict the wet film thickness and onset of coating defects by simulating the experimental conditions of the μ-SLS process. The single-layer deposition characteristics and the operational window for the slot-die coating setup have been investigated through experiments and two-dimensional computational fluid dynamics simulations. The effect of coating parameters such as inlet speed, coating speed, and coating gap on the wet film thickness has been analyzed. For inlet speeds higher than the coating speed, it was found that the meniscus was susceptible to high instabilities leading to coating defects. Additionally, the study outlines the conditions for which the stability of the menisci upstream and downstream of the slot-die coater can affect the uniformity and thickness range of the coating.


Solar RRL ◽  
2021 ◽  
Author(s):  
Sophie Bernard ◽  
Sébastien Jutteau ◽  
Salim Mejaouri ◽  
Stefania Cacovich ◽  
Iwan Zimmerman ◽  
...  

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