Predicting the effect of droplet geometry and size distribution on atmospheric corrosion

Journal article (2022)

Authors

N. Van den Steen Vrije Universiteit Brussel
Y. Gonzalez-Garcia Team Yaiza Gonzalez Garcia - Mechanical, Maritime and Materials Engineering
Arjan Mol Team Arjan Mol - Mechanical, Maritime and Materials Engineering
H. Terryn Vrije Universiteit Brussel
Y. Van Ingelgem Vrije Universiteit Brussel
Research Group
Team Arjan Mol (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2022 N. Van den Steen, Y. Gonzalez Garcia, J.M.C. Mol, H.A. Terryn, Y. Van Ingelgem
DOI: https://doi.org/10.1016/j.corsci.2022.110308
More Info
expand_more

Published Date

2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Mechanical, Maritime and Materials Engineering

Department

Materials Science and Engineering

Research Group

Team Arjan Mol

Abstract

A new approach is proposed to numerically predict and study atmospheric corrosion for ranging droplet size distributions and the influence of the droplet geometry. The proposed methodology allows for a corrosion prediction based on observed droplet size distributions and droplet contact angles. A mechanistic finite element model, including oxygen transport and Butler-Volmer kinetics, is solved in order to obtain the current density as a function of the droplet geometry. This is done for a range of both droplet radii and contact angles. The computed corrosion current densities are then used as input for imposed droplet size distributions. This allows for a calculated material loss estimation for different distributions and electrolyte configurations and shows the extent of the impact of the droplet size distribution on atmospheric corrosion.

Files

1_s2.0_S0010938X22002268_main.... (pdf)
(pdf | 7.11 Mb)
- Embargo expired in 14-10-2022
Unknown license