Modelling internal nitridation in an alumina-forming austenitic stainless steel
2017 (English)In: Materials and corrosion - Werkstoffe und Korrosion, ISSN 0947-5117, E-ISSN 1521-4176, Vol. 68, no 2, p. 143-150Article in journal (Refereed) Published
Abstract [en]
An austenitic alumina forming stainless steel was exposed in a nitriding atmosphere comprising 5 vol% H2/N2 for 100 and 1000 h. After 100 h, the sample displayed aluminium nitrides down to 450 μm and chromium nitrides down to 200 μm. Thermodynamic equilibrium calculations and kinetic modelling of the system to simulate 100 h of exposure time were performed using the software ThermoCalc 4.1 including DICTRA. The order of appearance of nitrides in the sample starting from the surface can be understood from the thermodynamic equilibria as well as from results of kinetic modelling. However, the nitridation depth predicted by the kinetic modelling, was larger than experimentally observed, and the cubic chromium nitride predicted to be present on the surface was not detected in the exposed sample. One difference between model and experiment was a thin oxide layer present on the surface of the sample. As this oxide layer can decrease the inwards flux of nitrogen, attempts were made to describe the effects of this layer in the model. The model was also used for qualitative comparison of varying alloy compositions, temperatures and initial nitrogen contents of the matrix.
Place, publisher, year, edition, pages
2017. Vol. 68, no 2, p. 143-150
Keywords [en]
alumina forming austenitic stainless steel, high temperature corrosion, internal nitridation, kinetic modelling, thermodynamic modelling, Alumina, Austenitic stainless steel, Chromium, Kinetic theory, Kinetics, Nitridation, Nitrides, Nitrogen, Thermodynamics, Alloy compositions, High temperature corrosions, Software Thermo-Calc, Thermodynamic equilibria, Thermodynamic equilibrium calculation, Stainless steel
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-29352DOI: 10.1002/maco.201508771Scopus ID: 2-s2.0-84962641292OAI: oai:DiVA.org:ri-29352DiVA, id: diva2:1093839
2017-05-082017-05-082020-05-04Bibliographically approved