- Journal Home
- Volume 21 - 2024
- Volume 20 - 2023
- Volume 19 - 2022
- Volume 18 - 2021
- Volume 17 - 2020
- Volume 16 - 2019
- Volume 15 - 2018
- Volume 14 - 2017
- Volume 13 - 2016
- Volume 12 - 2015
- Volume 11 - 2014
- Volume 10 - 2013
- Volume 9 - 2012
- Volume 8 - 2011
- Volume 7 - 2010
- Volume 6 - 2009
- Volume 5 - 2008
- Volume 4 - 2007
- Volume 3 - 2006
- Volume 2 - 2005
- Volume 1 - 2004
Cited by
- BibTex
- RIS
- TXT
In this paper, we develop a first order (in time) numerical scheme for the binary fluid
surfactant phase field model. The free energy contains a double-well potential, a nonlinear coupling
entropy and a Flory-Huggins potential. The resulting coupled system consists of two Cahn-Hilliard
type equations. This system is solved numerically by finite difference spatial approximation, in
combination with convex splitting temporal discretization. We prove the proposed scheme is
unique solvable, positivity-preserving and unconditionally energy stable. In addition, an optimal
rate convergence analysis is provided for the proposed numerical scheme, which will be the first
such result for the binary fluid-surfactant system. Newton iteration is used to solve the discrete
system. Some numerical experiments are performed to validate the accuracy and energy stability
of the proposed scheme.
In this paper, we develop a first order (in time) numerical scheme for the binary fluid
surfactant phase field model. The free energy contains a double-well potential, a nonlinear coupling
entropy and a Flory-Huggins potential. The resulting coupled system consists of two Cahn-Hilliard
type equations. This system is solved numerically by finite difference spatial approximation, in
combination with convex splitting temporal discretization. We prove the proposed scheme is
unique solvable, positivity-preserving and unconditionally energy stable. In addition, an optimal
rate convergence analysis is provided for the proposed numerical scheme, which will be the first
such result for the binary fluid-surfactant system. Newton iteration is used to solve the discrete
system. Some numerical experiments are performed to validate the accuracy and energy stability
of the proposed scheme.