Toggle Main Menu Toggle Search

Open Access padlockePrints

Binary Droplet Collisions in Bioprinting: Influence of Material Properties on Mixing and Repeatability

Lookup NU author(s): Dr Josef Hasslberger, Dr Markus Klein, Professor Kenneth Dalgarno, Professor Nilanjan ChakrabortyORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© The Author(s) 2024. The study of suspended binary droplet collisions is an active research topic that has gathered interest due to its complexity and its industrial applications such as bioprinting. For many techniques that rely on the collision of two droplets, the quality of the outcome depends on the mixing process that begins when the droplets come in contact with each other. In this work, we study how the difference in material properties of colliding droplets, such as viscosity and surface tension, affect the mixing process. Employing multiphase direct numerical simulations, the distribution of the impinging liquids and the structure of the flow field have been analysed to find ways of mixing and process repeatability optimisation. To analyse the effects that differences in viscosity and surface tension have in the mixing process, the flows emerging from the collision are analysed. The differences in kinematic viscosity, in the range of 1×10-7 to 1×10-5m2s-1 and surface tension, in the range of 36 to 82.7mNm-1, have also been demonstrated to affect the trajectory of the centre of mass and morphology of the droplets upon collision and thus could have implications from the point of view of process repeatability. In the parameter space considered here, it was found that differences in viscosity and surface tension enhance the mixing due to the departure from the symmetry in the collision.


Publication metadata

Author(s): Ruiz-Gutierrez E, Hasslberger J, Klein M, Dalgarno K, Chakraborty N

Publication type: Article

Publication status: Published

Journal: Flow, Turbulence and Combustion

Year: 2024

Pages: Epub ahead of print

Online publication date: 04/12/2024

Acceptance date: 28/10/2024

Date deposited: 05/11/2024

ISSN (print): 1386-6184

ISSN (electronic): 1573-1987

Publisher: Springer Nature

URL: https://doi.org/10.1007/s10494-024-00606-7

DOI: 10.1007/s10494-024-00606-7

Data Access Statement: No datasets were generated or analysed during the current study.


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
EPSRC (EP/V013092/1)
EP/R029369/1EPSRC
NI-HPC Kelvin2 (Q08)

Share