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Applied Mathematics and Mechanics

, Volume 40, Issue 9, pp 1239–1254 | Cite as

Effects of nozzle and fluid properties on the drop formation dynamics in a drop-on-demand inkjet printing

  • A. B. Aqeel
  • M. Mohasan
  • Pengyu LvEmail author
  • Yantao YangEmail author
  • Huiling Duan
Article
  • 98 Downloads

Abstract

The droplet formation dynamics of a Newtonian liquid in a drop-on-demand (DOD) inkjet process is numerically investigated by using a volume-of-fluid (VOF) method. We focus on the nozzle geometry, wettability of the interior surface, and the fluid properties to achieve the stable droplet formation with higher velocity. It is found that a nozzle with contracting angle of 45° generates the most stable and fastest single droplet, which is beneficial for the enhanced printing quality and high-throughput printing rate. For this nozzle with the optimal geometry, we systematically change the wettability of the interior surface, i.e., different contact angles. As the contact angle increases, pinch-off time increases and the droplet speed reduces. Finally, fluids with different properties are investigated to identify the printability range.

Key words

inkjet printing drop-on-demand (DOD) droplet formation nozzle geometry surface wettability printability range 

Nomenclature

ρ

density (kg·m-3)

p

pressure (Pa)

μ

dynamic viscosity (Pa · s)

F

surface tension (N · m-1)

υ

droplet velocity (m · s-1)

g

gravitational acceleration (m · s-2)

κ

curvature of gas-liquid interface

ϕ

nozzle wall contact angle (°)

θ

nozzle contracting angle (°)

υe

pinch-off speed (m · s-1)

αg

volume fraction of gas phase

Dn

nozzle diameter (m)

tb1

primary pinch-off time (s)

tb2

end pinch-off time (s).

Chinese Library Classification

O363 

2010 Mathematics Subject Classification

74A25 

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Notes

Acknowledgements

A. B. AQEEL would like to thank the Chinese Scholarship Council (CSC) for providing Chinese Government Scholarship (CGS).

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Copyright information

© Shanghai University and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, Beijing Innovation Center for Engineering Science and Advanced Technology, College of EngineeringPeking UniversityBeijingChina
  2. 2.National University of Sciences and Technology, H-12IslamabadPakistan
  3. 3.Center for Applied Physics and Technology, Key Laboratory of High Energy Density Physics, and Inertial Fusion Sciences and Application Collaborative Innovation Center of Ministry of EducationPeking UniversityBeijingChina

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