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

被引:5
作者
Zhang, Keer [1 ]
Rahimi, Ehsan [1 ]
van den Steen, Nils [2 ]
Terryn, Herman [2 ]
Mol, Arjan [1 ]
Gonzalez-Garcia, Yaiza [1 ]
机构
[1] Delft Univ Technol, Fac Mech Engn, Dept Mat Sci & Engn, Mekelweg 2, NL-2628 CD Delft, Netherlands
[2] Vrije Univ Brussel, Res Grp Electrochem & Surface Engn, Pleinlaan 2, B-1050 Brussels, Belgium
关键词
Atmospheric corrosion; Corrosion rate; Droplet geometry; Droplet size distribution; Electrical resistance; Relative humidity; Signal processing; Image processing; WIRE BEAM ELECTRODE; CARBON-STEEL; IN-SITU; BEHAVIOR; COPPER; IRON; SPECTROSCOPY; WATER;
D O I
10.1016/j.corsci.2024.112271
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a novel approach to investigate atmospheric corrosion kinetics of carbon steel under multidroplet 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.
引用
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页数:12
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