Phase separation of incompressible binary fluids with Lattice Boltzmann Methods

TL;DR

This paper presents improved lattice Boltzmann methods for simulating phase separation in incompressible binary fluids, enhancing stability and allowing longer, more accurate simulations of the process.

Contribution

The authors develop new LBM algorithms that suppress density fluctuations, enabling more stable and extended simulations of binary fluid phase separation.

Findings

Enhanced stability of LBM algorithms.

Ability to run longer simulations.

More accurate measurement of growth exponents.

Abstract

We introduce new versions of lattice Boltzmann methods (LBM) for incompressible binary mixtures where fluctuations of total density are inhibited. As a test for the improved algorithms we consider the problem of phase separation of two-dimensional binary mixtures quenched from a disordered state into the coexistence region. We find that the stability properties of LBM are greatly improved. The control of density fluctuations and the possibility of running longer simulations allow a more precise evaluation of the growth exponent.