z-logo
open-access-imgOpen Access
Numerical approximation of a non-smooth phase-field model for multicomponent incompressible flow
Author(s) -
Ľubomír Baňas,
Robert Nürnberg
Publication year - 2016
Publication title -
esaim mathematical modelling and numerical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.34
H-Index - 73
eISSN - 1290-3841
pISSN - 0764-583X
DOI - 10.1051/m2an/2016048
Subject(s) - mathematics , compressibility , convergence (economics) , incompressible flow , finite element method , nonlinear system , flow (mathematics) , variational inequality , mathematical analysis , cahn–hilliard equation , balanced flow , energy functional , partial differential equation , geometry , mechanics , physics , quantum mechanics , economics , thermodynamics , economic growth
We present a phase-field model for multiphase flow for an arbitrary number of immiscible incompressible fluids with variable densities and viscosities. The model consists of a system of the Navier−Stokes equations coupled to multicomponent Cahn−Hilliard variational inequalities. The proposed formulation admits a natural energy law, preserves physically meaningful constraints and allows for a straightforward modelling of surface tension effects. We propose a practical fully discrete finite element approximation of the model which preserves the energy law and the associated physical constraints. In the case of matched densities we prove convergence of the numerical scheme towards a weak solution of the continuous model. The convergence of the numerical approximations also implies the existence of weak solutions. Furthermore, we propose a convergent iterative fixed-point algorithm for the solution of the discrete nonlinear system of equations and present several computational studies of the proposed model

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom