Shear-induced droplet mobility within porous surfaces

TL;DR

This study numerically explores how shear flows influence droplet movement on porous surfaces, identifying mobility modes and proposing a new dimensionless number to predict droplet behavior, aiding in designing better self-cleaning surfaces.

Contribution

It introduces a novel droplet-scale capillary number that correlates with droplet leftover volume, advancing understanding of droplet dynamics on porous surfaces.

Findings

Identified three droplet mobility modes: stick-slip, crossover, and slugging.

Proposed a new dimensionless number correlating with droplet leftover volume.

Revealed mechanisms that can improve surface cleaning and anti-fouling design.

Abstract

Droplet mobility under shear flows is important in a wide range of engineering applications, e.g., fog collection, and self-cleaning surfaces. For structured surfaces to achieve superhydrophobicity, the removal of stains adhered within the microscale surface features strongly determines the functional performance and durability. In this study, we numerically investigate the shear-induced mobility of the droplet trapped within porous surfaces. Through simulations covering a wide range of flow conditions and porous geometries, three droplet mobility modes are identified, i.e., the stick-slip, crossover, and slugging modes. To quantitatively characterise the droplet dynamics, we propose a droplet-scale capillary number that considers the driving force and capillary resistance. By comparing against the simulation results, the proposed dimensionless number presents a strong correlation with the leftover volume. The dominating mechanisms revealed in this study provide a basis for further research on enhancing surface cleaning and optimising design of anti-fouling surfaces.