Published December 2018 | Version v1
Journal article

An implicit surface tension model for the analysis of droplet dynamics

  • 1. Energy Systems Design Laboratory (ESDLab), University of Alberta, Edmonton (Canada)
  • 2. Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE), Gran Capitán s/n, 08034 Barcelona (Spain)

Description

Highlights: • An implicit numerical model for the treatment of surface tension dominated flows is proposed. • The model allows for an increase in the critical time step size of one to two orders of magnitude. • Predicted results for sessile drops agree with experimental data. • Results for pressure accuracy and parasitic currents are compared with previous VOF models. 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2018.08.001

Additional details

Identifiers

DOI
10.1016/j.jcp.2018.08.001;
PII
S0021999118305217;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
374
Journal Page Range
p. 1196-1218
ISSN
0021-9991
CODEN
JCTPAH

INIS

Optional Information

Copyright
Copyright (c) 2018 Elsevier Inc. All rights reserved.