Hydrochemical interactions of phoretic particles: a regularized multipole framework

TL;DR

This paper introduces a regularized multipole framework called DFCM for modeling hydrochemical interactions in phoretic particle suspensions, enabling efficient large-scale simulations beyond dilute limits.

Contribution

The paper develops the Diffusio-phoretic FCM (DFCM), a novel grid-based multipole method inspired by FCM, to accurately simulate hydro-chemical interactions in suspensions.

Findings

DFCM accurately matches exact solutions in canonical cases.

It outperforms far-field approximations at various inter-particle distances.

The framework is suitable for large-scale CFD simulations of suspensions.

Abstract

Chemically-active colloids modify the concentration of chemical solutes surrounding them in order to self-propel. In doing so, they generate long-ranged hydrodynamic flows and chemical gradients that modify the trajectories of other particles. As a result, the dynamics of reactive suspensions is fundamentally governed by hydro-chemical interactions. A full solution of the detailed hydro-chemical problem with many particles is challenging and computationally expensive. Most current methods rely on the Green's functions of the Laplace and Stokes operators to approximate the particle signatures in the far-field, which is only valid in the very dilute limit in simple geometries. To overcome these limitations, we propose a regularized mutipole framework, directly inspired by the Force Coupling Method (FCM), to model phoretic suspensions. Our approach, called Diffusio-phoretic FCM (DFCM), relies on grid-based volume averages of the concentration field to compute the particle surface concentration moments. These moments define the chemical multipoles of the diffusion (Laplace) problem and provide the swimming forcing of the Stokes equations. Unlike far-field models based on singularity superposition, DFCM accounts for mutually-induced dipoles. The accuracy of the method is evaluated against exact and accurate numerical solutions for a few canonical cases. We also quantify its improvements over far-field approximations for a wide range of inter-particle distances. The resulting framework can readily be implemented into efficient CFD solvers, allowing for large scale simulations of semi-dilute diffusio-phoretic suspensions.