Modeling incompressible thermal flows using a central-moment-based lattice Boltzmann method

TL;DR

This paper introduces a central-moment-based lattice Boltzmann method for simulating incompressible thermal flows, improving accuracy, efficiency, and Galilean invariance over existing methods.

Contribution

The paper develops a simplified CLB approach for thermal flows that enhances Galilean invariance and computational efficiency compared to previous lattice Boltzmann methods.

Findings

The method achieves second-order spatial accuracy.

It allows higher Mach numbers, reducing computational load.

Numerical tests confirm accuracy, efficiency, and stability.

Abstract

In this paper, a central-moment-based lattice Boltzmann (CLB) method for incompressible thermal flows is proposed. In the method, the incompressible Navier-Stokes equations and the convection-diffusion equation for the temperature field are sloved separately by two different CLB equations. Through the Chapman-Enskog analysis, the macroscopic governing equations for incompressible thermal flows can be reproduced. For the flow field, the tedious implementation for CLB method is simplified by using the shift matrix with a simplified central-moment set, and the consistent forcing scheme is adopted to incorporate forcing effects. Compared with several D2Q5 multiple-relaxation-time (MRT) lattice Boltzmann methods for the temperature equation, the proposed method is shown to be better Galilean invariant through measuring the thermal diffusivities on a moving reference frame. Thus a higher Mach number can be used for convection flows, which decreases the computational load significantly. Numerical simulations for several typical problems confirm the accuracy, efficiency, and stability of the present method. The grid convergence tests indicate that the proposed CLB method for incompressible thermal flows is of second-order accuracy in space.