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  5. Monitoring atmospheric corrosion under multi-droplet conditions by electrical resistance sensor measurement

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Article
English
2024

Monitoring atmospheric corrosion under multi-droplet conditions by electrical resistance sensor measurement

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English
2024
Corrosion Science
Vol 236
DOI: 10.1016/j.corsci.2024.112271

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Herman Terryn
Herman Terryn

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Keer Zhang
Ehsan Rahimi
Nils Van den Steen
+3 more

Abstract

This paper presents a novel approach to investigate atmospheric corrosion kinetics of carbon steel under multi-droplet conditions. A homemade climate chamber has been developed to accurately control and monitor environmental conditions, including temperature (T) and relative humidity (RH), during exposure. Carbon steel corrosion kinetics are monitored with a custom-designed Electrical Resistance (ER) sensor pair. Savitzky-Golay (S-G) based filtering technique has been used for the corrosion signal processing. In parallel, top-view droplet temporal evolution has been recorded by microscopic imaging and analyzed for both droplet size distribution and the solid-liquid contact angle. The droplet size distribution can typically be described with a power-law form curve. The curve shows a decrease in height and a concurrent expansion in width with progressive drying. The introduction of NaCl into the electrolyte and surface roughness variations have also been identified to substantially influence the carbon steel corrosion rate. A strong correlation between the corrosion rate derived from the ER monitoring method and the RH can be observed. This correlation is further analyzed to incorporate the impact of droplet-based electrolyte conditions. This study offers valuable insights into the development of mechanistic and kinetic prediction models for atmospheric corrosion.

How to cite this publication

Keer Zhang, Ehsan Rahimi, Nils Van den Steen, Herman Terryn, J.M.C. Mol, Yaiza González‐García (2024). Monitoring atmospheric corrosion under multi-droplet conditions by electrical resistance sensor measurement. Corrosion Science, 236, pp. 112271-112271, DOI: 10.1016/j.corsci.2024.112271.

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Publication Details

Type

Article

Year

2024

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

Corrosion Science

DOI

10.1016/j.corsci.2024.112271

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