On the quantitative assessment of the effect of multiple process parameters on the printed layer height in 3D inkjet printing
3D inkjet (3D-IJ) printing is recognised for its potential in high-value applications, including printed electronics, tissue engineering and bio-inspired structures, given its precision and ability to deposit multiple materials. The quality of 3D-IJ printed parts is contingent upon meticulous contro...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
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Series: | Virtual and Physical Prototyping |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17452759.2023.2269898 |
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author | Ahmed Elkaseer Karin J. Chen Matthias Kuchta Steffen G. Scholz |
author_facet | Ahmed Elkaseer Karin J. Chen Matthias Kuchta Steffen G. Scholz |
author_sort | Ahmed Elkaseer |
collection | DOAJ |
description | 3D inkjet (3D-IJ) printing is recognised for its potential in high-value applications, including printed electronics, tissue engineering and bio-inspired structures, given its precision and ability to deposit multiple materials. The quality of 3D-IJ printed parts is contingent upon meticulous control of the process governing parameters. This study experimentally investigates the influence of various parameters within the 3D-IJ process, i.e., printing resolution, coverage percentage, droplet volume, printing speed and UV-Power and their interaction effects on the printed layer height. The results were analysed statistically using ANOVA and a quadratic regression model was developed to quantitatively identify the relationship between the process response and parameters. Except UV-Power, all parameters, and their interactions with each other had noticeable effects on the printed layer height, with a distinct trend observed for each, affecting the height that ranged from 4.73 µm to 98.58 µm. Increasing printing resolution, coverage percentage and droplet volume resulted in an increase in layer height as all three parameters contribute to a larger volume of dispensed material per layer. Printing resolution was found to be the most influential parameter, evidenced by a significant p-value. Finally, the optimal printing parameters for two scenarios, highest printed layer and cost-effective printing were individually identified. |
first_indexed | 2024-03-11T13:37:58Z |
format | Article |
id | doaj.art-fcef44476edb4eda822775dc7595f8cc |
institution | Directory Open Access Journal |
issn | 1745-2759 1745-2767 |
language | English |
last_indexed | 2024-03-11T13:37:58Z |
publishDate | 2023-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Virtual and Physical Prototyping |
spelling | doaj.art-fcef44476edb4eda822775dc7595f8cc2023-11-02T14:47:05ZengTaylor & Francis GroupVirtual and Physical Prototyping1745-27591745-27672023-12-0118110.1080/17452759.2023.22698982269898On the quantitative assessment of the effect of multiple process parameters on the printed layer height in 3D inkjet printingAhmed Elkaseer0Karin J. Chen1Matthias Kuchta2Steffen G. Scholz3Institute for Automation and Applied InformaticsInstitute for Automation and Applied InformaticsInstitute for Automation and Applied InformaticsInstitute for Automation and Applied Informatics3D inkjet (3D-IJ) printing is recognised for its potential in high-value applications, including printed electronics, tissue engineering and bio-inspired structures, given its precision and ability to deposit multiple materials. The quality of 3D-IJ printed parts is contingent upon meticulous control of the process governing parameters. This study experimentally investigates the influence of various parameters within the 3D-IJ process, i.e., printing resolution, coverage percentage, droplet volume, printing speed and UV-Power and their interaction effects on the printed layer height. The results were analysed statistically using ANOVA and a quadratic regression model was developed to quantitatively identify the relationship between the process response and parameters. Except UV-Power, all parameters, and their interactions with each other had noticeable effects on the printed layer height, with a distinct trend observed for each, affecting the height that ranged from 4.73 µm to 98.58 µm. Increasing printing resolution, coverage percentage and droplet volume resulted in an increase in layer height as all three parameters contribute to a larger volume of dispensed material per layer. Printing resolution was found to be the most influential parameter, evidenced by a significant p-value. Finally, the optimal printing parameters for two scenarios, highest printed layer and cost-effective printing were individually identified.http://dx.doi.org/10.1080/17452759.2023.2269898material jetting3d inkjet printingprint parametersprinted layer heightstatistical analysisinteraction effect |
spellingShingle | Ahmed Elkaseer Karin J. Chen Matthias Kuchta Steffen G. Scholz On the quantitative assessment of the effect of multiple process parameters on the printed layer height in 3D inkjet printing Virtual and Physical Prototyping material jetting 3d inkjet printing print parameters printed layer height statistical analysis interaction effect |
title | On the quantitative assessment of the effect of multiple process parameters on the printed layer height in 3D inkjet printing |
title_full | On the quantitative assessment of the effect of multiple process parameters on the printed layer height in 3D inkjet printing |
title_fullStr | On the quantitative assessment of the effect of multiple process parameters on the printed layer height in 3D inkjet printing |
title_full_unstemmed | On the quantitative assessment of the effect of multiple process parameters on the printed layer height in 3D inkjet printing |
title_short | On the quantitative assessment of the effect of multiple process parameters on the printed layer height in 3D inkjet printing |
title_sort | on the quantitative assessment of the effect of multiple process parameters on the printed layer height in 3d inkjet printing |
topic | material jetting 3d inkjet printing print parameters printed layer height statistical analysis interaction effect |
url | http://dx.doi.org/10.1080/17452759.2023.2269898 |
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