MATEC Web of Conferences
Volume 25, 20152015 International Conference on Energy, Materials and Manufacturing Engineering (EMME 2015)
|Number of page(s)||6|
|Published online||06 October 2015|
The Simulation Study of Fluid Physical Properties on Drop Formation of Drop-on-demand Inkjet Printing
1 University of Chinese Academy of Sciences, Beijing, China
2 Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China
3 Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China
4 University of Chinese Academy of Sciences, Beijing, China
5 Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China
Inkjet printing is a method for directly patterning and fabricating patterns without the need for masks. However, the physical phenomenon in inkjet printing process is very complicated with the coupling of piezoelectricity, elasticity, and free surface fluid dynamics. The authors use the volume of fluid (VOF) method as implemented in the commercial code FLUENT to model the details of the drop formation process. The influence of viscosity and surface tension of the liquid on the droplet formation process is investigated. Consequently, we find that the speed of liquid plays an important role for the jet stability. The viscosity of liquid greatly influences the final speed of droplet. However, the surface tension of liquid does not much affect the speed of droplet. It changes the shape of the liquid thread and final droplet.
Key words: drop-on-demand / inkjet / volume of fluid / pressure waveform
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.