Numerical model development and analysis of a drop-on-demand inkjet application
(2024) MVKM05 20241Department of Energy Sciences
- Abstract
- The jet breakup and the potential occurrence of satellite droplets play a crucial role
in the print quality of drop-on-demand (DOD) systems. This thesis focuses on developing
a numerical model to simulate droplet formation utilizing the volume-of-fluid
(VOF) method. A particular focus is on the occurrence of satellite droplets and
how different fluid properties influence the jetting behaviour. The research centres
on a printhead with a native droplet size of 2-3 pL and limited data availability.
Therefore, an inlet boundary approximation method is developed to accurately simulate
the droplet formation for different actuation waveforms. The study utilized
the software StarCCM+ and experimental results from a JetXpert dropwatcher for... (More) - The jet breakup and the potential occurrence of satellite droplets play a crucial role
in the print quality of drop-on-demand (DOD) systems. This thesis focuses on developing
a numerical model to simulate droplet formation utilizing the volume-of-fluid
(VOF) method. A particular focus is on the occurrence of satellite droplets and
how different fluid properties influence the jetting behaviour. The research centres
on a printhead with a native droplet size of 2-3 pL and limited data availability.
Therefore, an inlet boundary approximation method is developed to accurately simulate
the droplet formation for different actuation waveforms. The study utilized
the software StarCCM+ and experimental results from a JetXpert dropwatcher for
the creation of the numerical model. With the developed approximation method,
a validated model was created that effectively captures both droplet formation and
velocity. Multiple experimental observations were recreated after the calibration
process, successfully predicting the tail breakup. Finally, the validated model was
used to investigate the effect of viscosity, density, surface tension and contact angle
on the droplet formation process. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9166861
- author
- Wagner, Patrick Alexander LU
- supervisor
- organization
- course
- MVKM05 20241
- year
- 2024
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Drop-on-demand (DOD) Ink Jetting, Volume-of-fluid (VOF) Method, Newtonian Fluid, Waveform Approximation, Satellite Formation
- report number
- LUTMDN/TMHP-24/5580-SE
- ISSN
- 0282-1990
- language
- English
- id
- 9166861
- date added to LUP
- 2024-08-14 16:05:16
- date last changed
- 2024-08-14 16:05:16
@misc{9166861, abstract = {{The jet breakup and the potential occurrence of satellite droplets play a crucial role in the print quality of drop-on-demand (DOD) systems. This thesis focuses on developing a numerical model to simulate droplet formation utilizing the volume-of-fluid (VOF) method. A particular focus is on the occurrence of satellite droplets and how different fluid properties influence the jetting behaviour. The research centres on a printhead with a native droplet size of 2-3 pL and limited data availability. Therefore, an inlet boundary approximation method is developed to accurately simulate the droplet formation for different actuation waveforms. The study utilized the software StarCCM+ and experimental results from a JetXpert dropwatcher for the creation of the numerical model. With the developed approximation method, a validated model was created that effectively captures both droplet formation and velocity. Multiple experimental observations were recreated after the calibration process, successfully predicting the tail breakup. Finally, the validated model was used to investigate the effect of viscosity, density, surface tension and contact angle on the droplet formation process.}}, author = {{Wagner, Patrick Alexander}}, issn = {{0282-1990}}, language = {{eng}}, note = {{Student Paper}}, title = {{Numerical model development and analysis of a drop-on-demand inkjet application}}, year = {{2024}}, }