Removal of contaminants by jumping droplets from superhydrophobic surfaces – a numerical study
Doktorsavhandling, 2024

Superhydrophobic surfaces are advantageous in numerous applications due to their anti-icing, water-repellent and enhanced heat-transfer abilities. A great number of studies have been performed in order to improve those properties, with their self-cleaning ability standing out as their most desirable feature. This thesis focuses on passive self-cleaning mechanisms and uses advanced numerical simulations to characterize the properties of superhydrophobic surfaces and a series of fundamental phenomena that facilitate liquids and contaminant removal. A detailed numerical framework has been developed in discrete steps, tackling the increased complexity that each separate study introduced. Initially, a volume of fluid (VOF) model is used to simulate droplets jumping from superhydrophobic surfaces, a phenomenon initiated when two or more droplets coalesce on a superhydrophobic surface. This part of the work was within the capillary-inertial dominated spectrum, where the droplets pertain the strongest capillarity. Simulations of coalescence and jumping of droplets of various sizes were performed, providing insights into the interaction of hydrodynamic forces and surface tension. The next step was the understanding and implementation of effective contact angle hysteresis and explore its influence on the jumping efficiency. Hysteresis, introduced either by static or dynamic modeling of the contact angle, increased the energy dissipation of a surface and showcased re-attachment events for the merged droplet. During the course of the project, another study reported the removal of a particle by a single droplet. This self-cleaning mechanism occurs when a droplet initiates spreading on a hydrophilic particle, capturing it in the process. Due to its oscillations, the droplet interacts with the superhydrophobic surface and the particle-droplet system jumps from the surface. To describe this phenomenon, a numerical study was performed using a combined VOF-immersed boundary method, with a special focus on formulating and implementing the capillary force attracting the particle. The latter formulation was validated benefiting from an experimental study, and a parameter study followed with regards to the properties of the involved phases and the wettability of the solids. In the final part, pillar-shaped structures were introduced on the superhydrophobic surface to explore the effect of having structured surfaces on the particle-droplet coalescence and jumping. A comparison was performed between jumping from a smooth superhydrophobic surface and those from a pillared surface, showcasing the ability of the latter to achieve jumping and to undergo all the stages of the process. Finally, different configurations of pillars were tested, revealing that narrower and taller pillars with a sufficient spacing promote self-cleaning with the least dissipated energy.

CFD

self-cleaning

interfacial phenomena

Superhydrophobic

DNS

droplet jumping

immersed boudnary method

VOF

particle removal

Opponent: Holger Marschall, TU Darmstadt, Germany

Författare

Konstantinos Konstantinidis

Chalmers, Mekanik och maritima vetenskaper, Strömningslära

Coalescence-induced jumping of microdroplets on superhydrophobic surfaces – A numerical study

Canadian Journal of Chemical Engineering,;Vol. 100(2022)p. 3517-3530

Artikel i vetenskaplig tidskrift

The Role of Surface Microstructures in Particle-Droplet Coalescence and Jumping from Superhydrophobic Surfaces

Social Science Research Network,;(2025)

Artikel i vetenskaplig tidskrift

The thesis studies relevant physical phenomena and examines the efficiency of a number of self-cleaning mechanisms from superhydrophobic surfaces, involving removal of both droplets and contaminants (particles) from surfaces. Using advanced numerical techniques, it aims at gathering valuable information related to complex particle-droplet-surface interactions. Such information is not straightforward to obtain experimentally. The work focuses on droplet-droplet and droplet-particle coalescence and jumping from superhydrophobic surfaces.

The study quantifies energy budgets involved in various scenarios and points out the spatial scales when dissipation increases and changes the overall efficiency of the process regarding the influence of droplet or particle sizes and the presence of special structures extruding from a superhydrophobic surface. A detailed validation of the selected numerical methods is performed with a direct comparison to equivalent previous experimental studies for each new method that was integrated into the multi-physics framework based on the Volume-Of-Fluid and Immersed Boundary Methods.

Comprehensive parameter studies were performed with regards to properties of the different phases and wetting characteristics of droplets, particles and surfaces. The findings provide guidelines for optimizing the self-cleaning efficiency during the design and characterization of superhydrophobic surfaces, tailored to specific applications.

Uppnystning av hur, när och varför i självframdrivna och självupprätthållna partikelbaseradesjälvrengöringsmekanismer på superhydrofoba ytor

Vetenskapsrådet (VR) (2019-04969), 2020-01-01 -- 2024-12-31.

Ämneskategorier (SSIF 2011)

Maskinteknik

Fysikalisk kemi

Kemiteknik

Strömningsmekanik och akustik

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

ISBN

978-91-8103-149-2

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5607

Utgivare

Chalmers

Opponent: Holger Marschall, TU Darmstadt, Germany

Mer information

Senast uppdaterat

2025-01-03