English

Assessment of an energy-based surface tension model for simulation of two-phase flows using second-order phase field methods

Fluid Dynamics 2022-12-14 v2 Numerical Analysis Numerical Analysis Computational Physics

Abstract

Second-order phase field models have emerged as an attractive option for capturing the advection of interfaces in two-phase flows. Prior to these, state-of-the-art models based on the Cahn-Hilliard equation, which is a fourth-order equation, allowed for the derivation of surface tension models through thermodynamic arguments. In contrast, the second-order phase field models do not follow a known energy law, and deriving a surface tension term for these models using thermodynamic arguments is not straightforward. In this work, we justify that the energy-based surface tension model from the Cahn-Hilliard context can be adopted for second-order phase field models as well and assess its performance. We test the surface tension model on three different second-order phase field equations; the conservative diffuse interface model of Chiu and Lin [1], and two models based on the modified Allen-Cahn equation introduced by Sun and Beckermann [2]. Additionally, we draw the connection between the energy-based model with a localized variation of the continuum surface force (CSF) model. Using canonical tests, we illustrate the lower magnitude of spurious currents, better accuracy, and superior convergence properties of the energy-based surface tension model compared to the CSF model, which is a popular choice used in conjunction with second-order phase field methods, and the localized CSF model. Importantly, in terms of computational expense and parallel efficiency, the energy-based model incurs no penalty compared to the CSF models.

Keywords

Cite

@article{arxiv.2205.05835,
  title  = {Assessment of an energy-based surface tension model for simulation of two-phase flows using second-order phase field methods},
  author = {Shahab Mirjalili and Makrand A Khanwale and Ali Mani},
  journal= {arXiv preprint arXiv:2205.05835},
  year   = {2022}
}

Comments

13 pages, 5 figures, Revision submitted to Journal of Computational Physics