A generalised lattice Boltzmann algorithm for the flow of a nematic liquid crystal with variable order parameter

TL;DR

This paper introduces a generalized lattice Boltzmann algorithm for simulating nematic liquid crystal flows with variable order parameters, accurately capturing complex hydrodynamics and order parameter dynamics.

Contribution

It develops a tensor-based lattice Boltzmann scheme that recovers Qian-Sheng equations, incorporating anisotropic stress and validating against analytical results.

Findings

Accurately models flow alignment and Miesowicz viscosities.

Validates the scheme with analytical solutions.

Recovers Qian-Sheng hydrodynamics with sixth order isotropy.

Abstract

A lattice Boltzmann (LB) scheme is described which recovers the equations developed by Qian--Sheng for the hydrodynamics of a nematic liquid crystal with a tensor order parameter. The standard mesoscopic LB scalar density is generalised to a tensor quantity and the macroscopic momentum, density and tensor order parameter are recovered from appropriate moments of this mesoscopic density. A single lattice Boltzmann equation is used with a direction dependent BGK collision term, with additional forcing terms to recover the antisymmetric terms in the stress tensor. A Chapman Enskog analysis is presented which demonstrates that the Qian--Sheng scheme is recovered, provided a lattice with sixth order isotropy is used. The method is validated against analytical results for a number of cases including flow alignment of the order tensor and the Miesowicz viscosities in the presence of an aligning magnetic field. The algorithm accurately recovers the predicted changes in the order parameter in the presence of aligning flow, and magnetic, fields.