Ferrite content measurement in super duplex stainless steel weldsShow others and affiliations
2019 (English)In: Welding in the World, ISSN 0043-2288, E-ISSN 1878-6669, Vol. 63, no 2, p. 551-563Article in journal (Refereed) Published
Abstract [en]
Approaches to determining ferrite fraction (%) and ferrite number (FN) were examined for super duplex stainless steel (SDSS) welds. A reference sample was produced by bead-on-plate gas–tungsten arc welding of a type-2507 SDSS plate. By comparing different etchants and measurement practices, it was realized that etching with modified Beraha followed by computerized image analysis (IA) was the most accurate and quickest technique to measure ferrite fraction, which determined the same ferrite fraction (68.0 ± 2.6%) as that measured by electron diffraction backscattered analysis (67.6 ± 2.3%). A Round Robin test was performed on a reference sample at University West, Swerea KIMAB, Outokumpu Stainless, and Sandvik Materials Technology to investigate the repeatability of the technique. The ferrite fraction measurements performed at different laboratories showed very small variations, which were in the range of those seen when changing microscope in the same laboratory. After verification of the technique, the relationship between ferrite fraction and ferrite number (measured with FERITSCOPE®) was determined using 14 single (root) pass welds, including butt, corner, and T-, V-, and double V-joint geometries. The best-fit equation found in this study was ferrite number (FN) = 1.1 × ferrite fraction (%). To conclude, the ferrite fraction technique suggested in the present paper was accurate and repeatable, which made it possible to determine a ferrite fraction–ferrite number formula for SDSS single-pass welds.
Place, publisher, year, edition, pages
Springer Verlag , 2019. Vol. 63, no 2, p. 551-563
Keywords [en]
Ferrite fraction, Ferrite number, Image analysis, Point counting, Round Robin, Super duplex stainless steel, Electric welding, Ferrite, Welds, Duplex stainless steel
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-38537DOI: 10.1007/s40194-018-00681-1Scopus ID: 2-s2.0-85063276679OAI: oai:DiVA.org:ri-38537DiVA, id: diva2:1314315
Note
Funding details: VINNOVA, 2016-02834; Funding details: 20140130; Funding text 1: Funding information Financial support from Vinnova Foundation for the DuWelTool project (project number 2016-02834) is appreciatively acknowledged. The financial support from the KK Foundation for the research school SiCoMaP (20140130) is acknowledged.
2019-05-082019-05-082019-05-08Bibliographically approved