4.7 Article

An implicit surface tension model for the analysis of droplet dynamics

Journal

JOURNAL OF COMPUTATIONAL PHYSICS
Volume 374, Issue -, Pages 1196-1218

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2018.08.001

Keywords

Finite element method; Droplet dynamics; Surface tension; Implicit; Lagrangian

Funding

  1. Natural Sciences and Engineering Research Council of Canada (NSERC) Collaborative Research and Development grant NSERC [CRDPJ 501081]
  2. NSERC Discovery grant [RGPIN-2016-04108]
  3. FPI Research Grant [BES-2011-047702, BIA2010-15880]
  4. Ministerio de Economia y Competitividad [MAT2014-60435-C2-1-R]

Ask authors/readers for more resources

A Lagrangian incompressible fluid flow model is extended by including an implicit surface tension term in order to analyze droplet dynamics. The Lagrangian framework is adopted to model the fluid and track its boundary, and the implicit surface tension term is used to introduce the appropriate forces at the domain boundary. The introduction of the tangent matrix corresponding to the surface tension force term ensures enhanced stability of the derived model. Static, dynamic and sessile droplet examples are simulated to validate the model and evaluate its performance. Numerical results are capable of reproducing the pressure distribution in droplets, and the advancing and receding contact angles evolution for droplets in varying substrates and inclined planes. The model is stable even at time steps up to 20 times larger than previously reported in literature and achieves first and second order convergence in time and space, respectively. The present implicit surface tension implementation is applicable to any model where the interface is represented by a moving boundary mesh. (C) 2018 Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available