Publications › Journal article · 2023

A physics-informed structure-preserving numerical scheme for the phase-field hydrodynamic model of ternary fluid flows


Q. Hong, Y. Gong and J. Zhao*

Numerical Mathematics: Theory, Methods and Applications, 16(3), 565-596, 2023.

Abstract

Phase-field models are widely used to investigate multiphase flow dynamics. Given the complexity and strong nonlinearity, designing accurate, efficient, and stable numerical algorithms to solve these models has been an active research field for decades. This paper proposes a novel numerical scheme to solve the highly cited and used phase field hydrodynamic model for simulating ternary phase fluid flows. The main novelty is introducing a supplementary variable to reformulate the original problem into a constrained optimization problem. This reformulation leads to several advantages for our proposed numerical algorithms compared with many existing numerical techniques for solving this model. First, the developed schemes allow more straightforward calculations for the hydrodynamic phase-field models by solving a few decoupled Helmholtz or Poisson-type systems with a constant pre-computable coefficient matrix, remarkably reducing the computational cost. Secondly, the numerical schemes can maintain mass conservation and energy dissipation at the discrete level. Additionally, the developed scheme based on the second-order backward difference formula respects the original energy dissipation law that differs from many existing schemes, such as the IEQ, SAV, and Lagrange multiplier approaches for which a modified energy dissipation law is respected. Furthermore, rigorous proof of energy stability and practical implementation strategies are provided. We conduct adequate 2D and 3D numerical tests to demonstrate the proposed schemes' accuracy and effectiveness.

Cite

@article{hong2023pis,
  author = {Hong, Q. and Gong, Y. and Zhao, J.},
  title = {A physics-informed structure-preserving numerical scheme for the phase-field hydrodynamic model of ternary fluid flows},
  journal = {Numerical Mathematics: Theory, Methods and Applications},
  volume = {16},
  number = {3},
  pages = {565-596},
  year = {2023},
  doi = {10.4208/nmtma.oa-2023-0007},
}

Author marks: * corresponding, △ co-first, ♠ graduate student, ♣ undergraduate student, ♡ postdoc, at the time of the work.