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Scanning kelvin probe investigation of corrosion under thick marine paint systems applied on carbon steel
RISE, Swerea, KIMAB. (Institut de la Corrosion)
RISE, Swerea, KIMAB. (Institut de la Corrosion)ORCID iD: 0000-0002-1753-9972
RISE, Swerea, KIMAB. (Institut de la Corrosion)ORCID iD: 0000-0001-5462-2700
DCNS, France.
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2012 (English)In: Corrosion, ISSN 0010-9312, E-ISSN 1938-159X, Vol. 68, no 8, p. 720-729Article in journal (Refereed) Published
Abstract [en]

The scanning Kelvin probe (SKP) is a non-destructive technique for measuring the surface distribution of the Volta potential with a high spatial resolution of a few tens of micrometers. The SKP technique allows in situ studies of the localized corrosion processes under atmospheric weathering conditions, on metal surfaces, or underneath organic coatings. In the present study, the SKP technique was used to follow the kinetics of underpaint corrosion from a defect applied on steel coated with thick marine paint systems (0.4 mm to 0.5 mm) as a function of exposure time in an accelerated corrosion test. Three different paint systems were investigated. In addition, the influence of surface cleanliness in terms of salt concentration on a steel substrate prior to paint application was investigated using the SKP technique. The results showed the high efficiency of the SKP technique for early corrosion evaluation under thick paints on steel substrate.

Place, publisher, year, edition, pages
2012. Vol. 68, no 8, p. 720-729
Keywords [en]
Corrosion delamination, Marine paints, Scanning Kelvin probe, Steel, Accelerated corrosion tests, Corrosion evaluation, Exposure-time, High spatial resolution, In-Situ Study, Localized corrosion, Metal surfaces, Non-destructive technique, Paint applications, Paint systems, Salt concentration, Scanning Kelvin probes, Steel substrate, Surface cleanliness, Surface distributions, Volta potential, Weathering conditions, Carbon steel, Nondestructive examination, Organic coatings, Paint, Probes, Scanning, Corrosion
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-51847DOI: 10.5006/0551Scopus ID: 2-s2.0-84864592137OAI: oai:DiVA.org:ri-51847DiVA, id: diva2:1516202
Available from: 2021-01-11 Created: 2021-01-11 Last updated: 2023-05-26Bibliographically approved

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Le Bozec, NathalieThierry, Dominique

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