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Application of computational thermodynamics to predict growth of intermetallic phases in superduplex stainless steels
RISE, Swerea, Swerea KIMAB.
Jernkontoret - The Swedish Steel Producers' Association.
2015 (English)In: Steel Research International, ISSN 1611-3683, E-ISSN 1869-344XArticle in journal (Refereed)
Abstract [en]

Computational thermodynamics were used to predict the growth of intermetallic phases in superduplex stainless steels, assuming that it is the ferrite which primarily decomposes during heat treatments below 1000°C. Sigma and chi phase were modeled to form at the edge of a 10μm ferrite unit and the time from 0.1s to the development of a 100nm layer of the phase in question was evaluated. This approach encompasses thermodynamics and kinetics of growth of the intermetallic phases but omits nucleation. Nevertheless the calculations accurately predict the classic C-shaped TTT curves, in which "nose" the growth is most rapid with a critical combination of precipitation, diffusion, and driving force. Verification of the relevance of the model was done by comparison with a publication with experimental studies of molybdenum and tungsten alloyed superduplex stainless steel weld metals, showing that partial substitution of Mo of by W does cause a more rapid growth of intermetallic phases. In addition the effect of the partial substitution of nickel by copper was examined and showed that copper decreases the amount of sigma phase and also reduces its growth rate. The results also suggest that the time for nucleation is of less importance in this context than previously suggested and thermodynamics and kinetics are sufficient to give an adequate explanation to the experimental results. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Place, publisher, year, edition, pages
2015.
Keywords [en]
Computational thermodynamics, Superduplex stainless steel, Weld metal
National Category
Materials Engineering
Identifiers
URN: urn:nbn:se:ri:diva-12785DOI: 10.1002/srin.201400277Scopus ID: 2-s2.0-84928128931OAI: oai:DiVA.org:ri-12785DiVA, id: diva2:972978
Available from: 2016-09-22 Created: 2016-09-22 Last updated: 2017-11-21Bibliographically approved

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CiteExportLink to record
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