An efficient dimension splitting-based multi-threaded simulation approach for the phase-field model of two-phase incompressible flows
This paper presents a study on the fast numerical simulation of the phase-field model for two-phase incompressible flow, which comprises a coupled system of the Cahn–Hilliard and Navier–Stokes equations. To address the practical challenges posed by high storage demands and computational complexity, we aim to introduce a numerical approach that leverages dimension splitting for parallel and multi-threaded implementation. Specifically, we develop a novel splitting method: First, a projection method with a dimension splitting effect is incorporated to solve the phase-variable-coupled Navier–Stokes equation in parallel. Second, the convective Cahn–Hilliard equation is tackled using a space–time operator splitting scheme. It is confirmed that the proposed method can effectively reduce the huge amount of computation and storage in solving two- and three-dimensional problems. At the same time, it also has the advantages of linearity, space–time second-order accuracy, mass conservation, parallel implementation, and easy programming. The mass conservation property, time complexity, and storage requirement are analyzed. The parallel efficiency is shown by numerical verification. A large number of interesting numerical simulations, such as phase separation, two-phase cavity flow, bubble rising, viscous droplet falling, Kelvin–Helmholtz, and Rayleigh–Taylor instabilities, are performed to show the performance of the method and investigate complex two-phase interface problems.
Authors
- Xufeng Xiao (ORCID: https://orcid.org/0000-0002-0716-2593)
Institutions
- Xinjiang University (CN)
Publication Details
- Journal
- Physics of Fluids
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1063/5.0257967
- Primary Topic
- Solidification and crystal growth phenomena
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Xinjiang Province
- National Natural Science Foundation of China