Lattice Boltzmann models for the hydrodynamic equations in multiphase flow with high density ratio

TL;DR

This paper introduces a new lattice kinetic scheme for simulating high-density-ratio multiphase flows, improving accuracy and robustness over traditional lattice Boltzmann methods, especially in modeling water-air interactions.

Contribution

A novel lattice kinetic scheme (LKS) that directly solves velocity and pressure fields, simplifying computations and enhancing accuracy in high-density-ratio multiphase flow simulations.

Findings

Effective reduction of numerical errors in high-density ratio flows

Improved accuracy in airflow induced by water motion

Elimination of iterative steps in LKS implementation

Abstract

Multiphase flows with high density ratios, such as water and air flows, have recently been simulated using the lattice Boltzmann (LB) method. This approach corresponds to solving the phase field equations, such as the Cahn-Hilliard and Allen-Cahn equations, and the hydrodynamic equations, typically the Navier-Stokes and pressure equations for pseudo-incompressible fluids. Due to the high density ratio, the higher-order numerical truncation errors associated with spatial density gradients can become significant. These errors can lead to problems such as inaccuracies in shear stress, violations of Galilean invariance, and undesirable dependencies on absolute pressure for the pseudo-incompressible solutions. To overcome such problems, the moments of the distribution function and the equilibrium state must be carefully designed while ensuring robustness. In this work, we propose a new scheme based on the lattice kinetic scheme (LKS), which directly solves the velocity and pressure fields in the similar discrete space as the LB method. When mapping the LKS-based models to the LB models, the original LKS models are simplified for computational efficiency and the filter collision operator is implemented. Benchmark test cases confirm that the proposed scheme effectively addresses these issues, achieving high accuracy and robustness while eliminating the iterative steps typically required in the LKS. One of the most significant improvements is the accuracy of the airflow field induced by water motion, likely due to improved momentum transfer across the interface.