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Published October 18, 2024 | Version v1

Dataset for "Coating thickness prediction for a viscous film on a rough plate"

  • 1. ROR icon École Polytechnique Fédérale de Lausanne

Description

This dataset supports the publication 'Coating thickness prediction for a viscous film on a rough plate' by Lebo Molefe, Giuseppe A. Zampogna, John M. Kolinski, and François Gallaire, Journal of Fluid Mechanics, 2024. The data are film thicknesses measured for silicone oil films coated on rough plates. Please refer to the publication and its supplemental material for details.

Contents

Three folders containing the code and data required to produce the figures in the journal article and supplemental material.

Readme

A .txt file describing contents of code and datasets.

Code

Contains:

  • Python code to produce Figures 5-10 and 12 in the main text, as well as supplementary Figures 1-4.
  • Source code: COMSOL files for solving microscopic problem for effective parameters (L, Kitf) describing the rough surface; Python files for solving the macroscopic model equations once effective parameters are known.

Data

Contains data needed to plot the figures mentioned above, as well as supporting data.

The data includes density, surface tension, and viscosity measurements for silicone oil, with rheometry measurements performed on an Anton Paar MCR 302 rheometer, as detailed in the Supplementary Material.

Plots

Contains output of plotting code corresponding to the figures mentioned above.

Files

code.zip

Files (30.7 MB)

Name Size
md5:ca337770cef59872827e359396a7bfe9
14.5 MB Preview Download
md5:c9cfc4f0b22ec54014a510ac7596cc34
13.4 MB Preview Download
md5:c1de7eec110609ea141e6aba7ff53cee
2.8 MB Preview Download
md5:da13a98841b2acd1ea9e55339f1a1a1a
7.9 kB Preview Download

Additional details

Funding

Swiss National Science Foundation
A homogenization based approach for aquaporin flow characterization 193180