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Droplet Removal by Capillary Lifting [dataset] Open Access

The removal of liquid droplets from solid surfaces is central to cleaning, coatings and oil recovery. Here we investigate liquid droplets capillary lifted from surfaces by an immiscible working liquid. The rising working liquid triggers the formation of a capillary bridge between the solid and the air interface, which can lead to full, partial, or no droplet dewetting. Our theoretical model predicts, and experiments confirm, that the effectiveness of droplet removal can be tuned by manipulating the droplet contact angle with the solid and the interfacial tensions at play. Significantly, dewetting can be enhanced by employing working liquids with high interfacial tension, in contrast to common surface cleaning strategies where surfactants are used to reduce interfacial tension. Our findings can open new avenues for droplet manipulation with reduced resources and more sustainable environmental impact.

Descriptions

Resource type

Dataset

Contributors

Creator: Voitchovsky, Kislon ¹
Contact person: Voitchovsky, Kislon ¹
Creator: Sun, Ke ¹
Creator: Kusumaatmaja, Halim ²

¹ Durham University, UK
² Edinburgh University

Funder

Engineering and Physical Sciences Research Council

Research methods

Other description

Originally published: 15 September 2025. This version published: 20 May 2026 with updated README and one Excel spreadsheet.

Keyword

Capillarity
Droplets
Cleaning
Wetting

Subject

Capillarity
Drops--Measurement
Surface chemistry--Research

Location

Language

Cited in

Identifier

ark:/32150/r30c483j36z
doi:10.15128/r3f1881k890

Rights

Creative Commons Attribution 4.0 International (CC BY)

Publisher

Durham University

Date Created

File Details

Depositor

K.D. Voitchovsky

Date Uploaded

15 September 2025, 13:09:06

Date Modified

20 May 2026, 14:05:23

Audit Status

Audits have not yet been run on this file.

Characterization

File format: zip (ZIP Format)

Mime type: application/zip

File size: 10616814079

Last modified: 2026:05:20 14:12:22+01:00

Filename: DataPaper.zip

Original checksum: af33760181c1b23f17e6a7235802c8b7