Modeling droplet-particle interactions on solid surfaces by coupling the lattice Boltzmann and discrete element methods

TL;DR

This paper presents a coupled numerical method combining lattice Boltzmann and discrete element methods to study droplet-particle interactions on solid surfaces, accounting for hydrodynamics, capillarity, and friction.

Contribution

The authors develop a novel coupled simulation approach integrating LBM and DEM with explicit capillary and friction modeling for interfacial flow and particle dynamics.

Findings

Friction significantly influences particle removal by droplets.

The method accurately reproduces particle bouncing and rolling behaviors.

Surface tension and wettability parameters affect removal efficiency.

Abstract

We introduce a numerical method for investigating interfacial flows coupled with frictional solid particles. Our method combines the lattice Boltzmann method (LBM) to model the dynamics of a two-component fluid and the discrete element method (DEM) to model contact forces (normal reaction, sliding friction, rolling friction) between solid particles and between solid particles and flat solid surfaces. To couple the fluid and particle dynamics, we (1) use the momentum exchange method to transfer hydrodynamic forces between the fluids and particles, (2) account for different particle wettability using a geometric boundary condition, and (3) explicitly account for capillary forces between particles and liquid-fluid interfaces using a 3D capillary force model. We benchmark the contact forces by investigating the dynamics of a particle bouncing off a solid surface and rolling down an inclined plane. To benchmark the hydrodynamic and capillary forces, we investigate the Segr\`e-Silberberg effect and measure the force required to detach a particle from a liquid-fluid interface, respectively. Motivated by the self-cleaning properties of the lotus leaf, we apply our method to investigate how drops remove contaminant particles from surfaces and quantify the forces acting on particles during removal. Our method makes it possible to investigate the influence of various parameters that are often difficult to tune independently in experiments, including contact angles, surface tension, viscosity, and coefficient of friction between the surface and particles. Our results highlight that friction plays a crucial role when drops remove particles from surfaces.