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Use of SVET to evaluate corrosion resistance of heat tinted stainless steel welds and effect of post-weld cleaning
RISE - Research Institutes of Sweden (2017-2019), Materials and Production, KIMAB.
RISE - Research Institutes of Sweden (2017-2019), Materials and Production, KIMAB.
Jernkontoret, Sweden.
MPI, Germany.
2017 (English)In: Materials and corrosion - Werkstoffe und Korrosion, ISSN 0947-5117, E-ISSN 1521-4176, Vol. 68, no 1, p. 7-19Article in journal (Refereed) Published
Abstract [en]

The effect of heat tints on the corrosion resistance of a 2507 duplex stainless steel tungsten inert gas (TIG) welded joint was assessed. The scanning vibrating electrode technique (SVET) was used to study oxide dissolution, initiation and propagation of corrosion on the weld. Small spot X-ray photoelectron spectroscopy (XPS) was used to investigate the composition and thickness of the heat tints. Both heat tinted and post-weld cleaned conditions were tested. Post-weld cleaning methods investigated were brushing, brushing plus polishing and brushing plus pickling paste. It was seen that heat tints dissolve by electrochemical reactions that can be mapped with the SVET and correlated with the level of discolouration of the oxides, with the purple–brown oxide being the most active. The mechanical post-weld cleaning methods proved to be insufficient to remove the anodic activity in the heat tint. The most efficient process was brushing followed by pickling which resulted in a totally passive surface measured with SVET and a higher critical pitting temperature.

Place, publisher, year, edition, pages
2017. Vol. 68, no 1, p. 7-19
Keywords [en]
corrosion, CPT, heat tint, pickling, stainless steel, SVET, TIG, weld, XPS, Cleaning, Corrosion resistance, Heat resistance, Welded steel structures, Welding, Welds, X ray photoelectron spectroscopy, Critical pitting temperatures, Duplex stainless steel, Electrochemical reactions, Heat tints, Initiation and propagation, Scanning vibrating electrode technique, Stainless steel welds
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-29384DOI: 10.1002/maco.201609048Scopus ID: 2-s2.0-84977117417OAI: oai:DiVA.org:ri-29384DiVA, id: diva2:1093745
Available from: 2017-05-08 Created: 2017-05-08 Last updated: 2020-04-29Bibliographically approved

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