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

Keer Zhang*, Ehsan Rahimi, Nils Van den Steen, Herman Terryn, Arjan Mol, Yaiza Gonzalez-Garcia

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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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.

Original languageEnglish
Article number112271
Number of pages12
JournalCorrosion Science
Volume236
DOIs
Publication statusPublished - 2024

Keywords

  • Atmospheric corrosion
  • Corrosion rate
  • Droplet geometry
  • Droplet size distribution
  • Electrical resistance
  • Image processing
  • Relative humidity
  • Signal processing

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