LAPSE:2023.1499
Published Article
LAPSE:2023.1499
Modeling 3D Droplet Movement Using a Drop-on-Demand Inkjet Printhead Model
February 21, 2023
Abstract
This article presents a numerical simulation of a printhead model for drop-on-demand (DoD) inkjet printers. A three-dimensional droplet model is provided for the numerical study of inks, ejection parameters, droplet movement, and the analysis of droplet impacts on the surface. This work is devoted to the analysis of different droplet ejection settings during the printing process, when the behavior of the droplet directly affects the accuracy of the printing process itself. A numerical model was also developed to investigate the effect of various settings on droplet stability, including printhead size and nozzle orifice, motion parameters (pulse strength and droplet ejection amplitude) and fluid properties. The results reflect the behavior of the ink droplet over time. The behavior of the drop was tested at different waveform ejection parameters and a mass turnover was observed.
This article presents a numerical simulation of a printhead model for drop-on-demand (DoD) inkjet printers. A three-dimensional droplet model is provided for the numerical study of inks, ejection parameters, droplet movement, and the analysis of droplet impacts on the surface. This work is devoted to the analysis of different droplet ejection settings during the printing process, when the behavior of the droplet directly affects the accuracy of the printing process itself. A numerical model was also developed to investigate the effect of various settings on droplet stability, including printhead size and nozzle orifice, motion parameters (pulse strength and droplet ejection amplitude) and fluid properties. The results reflect the behavior of the ink droplet over time. The behavior of the drop was tested at different waveform ejection parameters and a mass turnover was observed.
Record ID
Keywords
3D modeling, drop-on-demand, droplet, inkjet printhead nozzle, printing process
Subject
Suggested Citation
Tofan T, Borodinas S, Kačianauskas R, Jasevičius R. Modeling 3D Droplet Movement Using a Drop-on-Demand Inkjet Printhead Model. (2023). LAPSE:2023.1499
Author Affiliations
Tofan T: Department of Mechanics and Materials Engineering, Vilnius Gediminas Technical University, J. Basanavicius Street 28, 03224 Vilnius, Lithuania
Borodinas S: Department of Applied Mechanics, Vilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, Lithuania; Institute of Mechanical Science, Vilnius Gediminas Technical University, J. Basanavicius Street 28, 03224 Vilnius, Lithuania
Kačianauskas R: Department of Applied Mechanics, Vilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, Lithuania; Institute of Mechanical Science, Vilnius Gediminas Technical University, J. Basanavicius Street 28, 03224 Vilnius, Lithuania [ORCID]
Jasevičius R: Department of Mechanics and Materials Engineering, Vilnius Gediminas Technical University, J. Basanavicius Street 28, 03224 Vilnius, Lithuania; Institute of Mechanical Science, Vilnius Gediminas Technical University, J. Basanavicius Street 28, 03224 Vilni
Borodinas S: Department of Applied Mechanics, Vilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, Lithuania; Institute of Mechanical Science, Vilnius Gediminas Technical University, J. Basanavicius Street 28, 03224 Vilnius, Lithuania
Kačianauskas R: Department of Applied Mechanics, Vilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, Lithuania; Institute of Mechanical Science, Vilnius Gediminas Technical University, J. Basanavicius Street 28, 03224 Vilnius, Lithuania [ORCID]
Jasevičius R: Department of Mechanics and Materials Engineering, Vilnius Gediminas Technical University, J. Basanavicius Street 28, 03224 Vilnius, Lithuania; Institute of Mechanical Science, Vilnius Gediminas Technical University, J. Basanavicius Street 28, 03224 Vilni
Journal Name
Processes
Volume
10
Issue
8
First Page
1467
Year
2022
Publication Date
2022-07-27
ISSN
2227-9717
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Original Submission
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PII: pr10081467, Publication Type: Journal Article
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LAPSE:2023.1499
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https://doi.org/10.3390/pr10081467
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[v1] (Original Submission)
Feb 21, 2023
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Feb 21, 2023
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