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Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters
Drop on demand (DoD) inkjet printing is a high precision, non-contact, and maskless additive manufacturing technique employed in producing high-precision micrometer-scaled geometries allowing free design manufacturing for flexible devices and printed electronics. A lot of studies exist regarding the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780558/ https://www.ncbi.nlm.nih.gov/pubmed/35056222 http://dx.doi.org/10.3390/mi13010057 |
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author | Bertolucci, Federico Berdozzi, Nicolò Rebaioli, Lara Patil, Trunal Vertechy, Rocco Fassi, Irene |
author_facet | Bertolucci, Federico Berdozzi, Nicolò Rebaioli, Lara Patil, Trunal Vertechy, Rocco Fassi, Irene |
author_sort | Bertolucci, Federico |
collection | PubMed |
description | Drop on demand (DoD) inkjet printing is a high precision, non-contact, and maskless additive manufacturing technique employed in producing high-precision micrometer-scaled geometries allowing free design manufacturing for flexible devices and printed electronics. A lot of studies exist regarding the ink droplet delivery from the nozzle to the substrate and the jet fluid dynamics, but the literature lacks systematic approaches dealing with the relationship between process parameters and geometrical outcome. This study investigates the influence of the main printing parameters (namely, the spacing between subsequent drops deposited on the substrate, the printing speed, and the nozzle temperature) on the accuracy of a representative geometry consisting of two interdigitated comb-shape electrodes. The study objective was achieved thanks to a proper experimental campaign developed according to Design of Experiments (DoE) methodology. The printing process performance was evaluated by suitable geometrical quantities extracted from the acquired images of the printed samples using a MATLAB algorithm. A drop spacing of 140 µm and 170 µm on the two main directions of the printing plane, with a nozzle temperature of 35 °C, resulted as the most appropriate parameter combination for printing the target geometry. No significant influence of the printing speed on the process outcomes was found, thus choosing the highest speed value within the investigated range can increase productivity. |
format | Online Article Text |
id | pubmed-8780558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87805582022-01-22 Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters Bertolucci, Federico Berdozzi, Nicolò Rebaioli, Lara Patil, Trunal Vertechy, Rocco Fassi, Irene Micromachines (Basel) Article Drop on demand (DoD) inkjet printing is a high precision, non-contact, and maskless additive manufacturing technique employed in producing high-precision micrometer-scaled geometries allowing free design manufacturing for flexible devices and printed electronics. A lot of studies exist regarding the ink droplet delivery from the nozzle to the substrate and the jet fluid dynamics, but the literature lacks systematic approaches dealing with the relationship between process parameters and geometrical outcome. This study investigates the influence of the main printing parameters (namely, the spacing between subsequent drops deposited on the substrate, the printing speed, and the nozzle temperature) on the accuracy of a representative geometry consisting of two interdigitated comb-shape electrodes. The study objective was achieved thanks to a proper experimental campaign developed according to Design of Experiments (DoE) methodology. The printing process performance was evaluated by suitable geometrical quantities extracted from the acquired images of the printed samples using a MATLAB algorithm. A drop spacing of 140 µm and 170 µm on the two main directions of the printing plane, with a nozzle temperature of 35 °C, resulted as the most appropriate parameter combination for printing the target geometry. No significant influence of the printing speed on the process outcomes was found, thus choosing the highest speed value within the investigated range can increase productivity. MDPI 2021-12-30 /pmc/articles/PMC8780558/ /pubmed/35056222 http://dx.doi.org/10.3390/mi13010057 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bertolucci, Federico Berdozzi, Nicolò Rebaioli, Lara Patil, Trunal Vertechy, Rocco Fassi, Irene Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters |
title | Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters |
title_full | Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters |
title_fullStr | Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters |
title_full_unstemmed | Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters |
title_short | Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters |
title_sort | assessing the relationships between interdigital geometry quality and inkjet printing parameters |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780558/ https://www.ncbi.nlm.nih.gov/pubmed/35056222 http://dx.doi.org/10.3390/mi13010057 |
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