Optimal rigid brush for fluid capture

TL;DR

This paper develops an analytical model and conducts experiments on rigid brushes to understand and optimize liquid capture during withdrawal from a liquid bath, revealing non-monotonic entrainment behavior and optimal geometries.

Contribution

It provides the first comprehensive model for flow through rigid brushes, identifying optimal geometries for maximum liquid capture without fitting parameters.

Findings

Liquid entrainment varies non-monotonically with withdrawal speed.

The model accurately predicts flow behavior without fitting parameters.

Optimal brush designs significantly enhance liquid capture efficiency.

Abstract

Parallel assemblies of slender structures forming brushes are common in our daily life from sweepers to pastry brushes and paintbrushes. This type of porous objects can easily trap liquid in their interstices when removed from a liquid bath. This property is exploited to transport liquids in many applications ranging from painting, dip-coating, brush-coating to the capture of nectar by bees, bats and honeyeaters. Rationalizing the viscous entrainment flow beyond simple scaling laws is complex due to its multiscale structure and the multidirectional flow. Here, we provide an analytical model, together with precision experiments with ideal rigid brushes, to fully characterize the flow through this anisotropic porous medium as it is withdrawn from a liquid bath. We show that the amount of liquid entrained by a brush varies non-monotonically during the withdrawal at low speed, is highly sensitive to the different parameters at play and is very well described by the model without any fitting parameter. Finally, an optimal brush geometry maximizing the amount of liquid captured at a given retraction speed is derived from the model and experimentally validated. These optimal designs open routes towards efficient liquid manipulating devices.