Thermokinetic Modelling of High-Temperature Evolution of Primary Nb(C,N) in Austenite Applied to Recrystallization of 316Nb Austenitic Stainless Steel

The size evolution of niobium carbonitrides Nb(C,N) and the evolution of the composition of an austenitic matrix in 316Nb stainless steel were simulated using DICTRA software. For the first time, the complete nine-element composition of steel was taken into account during isothermal and even anisoth...

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Main Authors: Nicolas Cliche, Sylvain Ringeval, Philippe Petit, Jacques Bellus, Eric Georges, François Cortial, Jean-Loup Heuzé, Anne-Françoise Gourgues-Lorenzon, Vladimir A. Esin
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Metals
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Online Access:https://www.mdpi.com/2075-4701/11/5/715
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author Nicolas Cliche
Sylvain Ringeval
Philippe Petit
Jacques Bellus
Eric Georges
François Cortial
Jean-Loup Heuzé
Anne-Françoise Gourgues-Lorenzon
Vladimir A. Esin
author_facet Nicolas Cliche
Sylvain Ringeval
Philippe Petit
Jacques Bellus
Eric Georges
François Cortial
Jean-Loup Heuzé
Anne-Françoise Gourgues-Lorenzon
Vladimir A. Esin
author_sort Nicolas Cliche
collection DOAJ
description The size evolution of niobium carbonitrides Nb(C,N) and the evolution of the composition of an austenitic matrix in 316Nb stainless steel were simulated using DICTRA software. For the first time, the complete nine-element composition of steel was taken into account during isothermal and even anisothermal heat treatments. A reduced model was then proposed to optimize the calculation time for complex heat treatments. The change in the mean Nb content in austenite due to Nb(C,N) evolution during different heat treatments was studied. It qualitatively agrees with experimental data as obtained by electron probe microanalysis. Furthermore, the model was successfully applied to explain the effect of heat treatments on the recrystallization behavior of 316Nb steel during hot torsion tests. Moreover, the effect of the thermodynamic database and the number of alloying elements chosen was discussed. We showed that taking into account seven or even nine elements greatly improves the accuracy compared to usual simplified compositions. The proposed method can be useful in designing heat treatments promoting or conversely hindering recrystallization for a wide variety of Nb-bearing steels.
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spelling doaj.art-7c0ed5732fcc4cbda49fe7f9b7755efe2023-11-21T17:24:34ZengMDPI AGMetals2075-47012021-04-0111571510.3390/met11050715Thermokinetic Modelling of High-Temperature Evolution of Primary Nb(C,N) in Austenite Applied to Recrystallization of 316Nb Austenitic Stainless SteelNicolas Cliche0Sylvain Ringeval1Philippe Petit2Jacques Bellus3Eric Georges4François Cortial5Jean-Loup Heuzé6Anne-Françoise Gourgues-Lorenzon7Vladimir A. Esin8Centre des Matériaux (UMR CNRS 7633), MINES ParisTech, PSL University, 91003 Évry, FranceCentre de Valduc, Commissariat à L’Énergie Atomique et Aux Énergies Alternatives, 21120 Is-sur-Tille, FranceAubert & Duval, 63770 Les Ancizes, FranceAubert & Duval, 63770 Les Ancizes, FranceAubert & Duval, 63770 Les Ancizes, FranceNaval Group Research, 44340 Bouguenais, FranceDirection Générale de L’Armement, Ministère des Armées, 75509 Paris, FranceCentre des Matériaux (UMR CNRS 7633), MINES ParisTech, PSL University, 91003 Évry, FranceCentre des Matériaux (UMR CNRS 7633), MINES ParisTech, PSL University, 91003 Évry, FranceThe size evolution of niobium carbonitrides Nb(C,N) and the evolution of the composition of an austenitic matrix in 316Nb stainless steel were simulated using DICTRA software. For the first time, the complete nine-element composition of steel was taken into account during isothermal and even anisothermal heat treatments. A reduced model was then proposed to optimize the calculation time for complex heat treatments. The change in the mean Nb content in austenite due to Nb(C,N) evolution during different heat treatments was studied. It qualitatively agrees with experimental data as obtained by electron probe microanalysis. Furthermore, the model was successfully applied to explain the effect of heat treatments on the recrystallization behavior of 316Nb steel during hot torsion tests. Moreover, the effect of the thermodynamic database and the number of alloying elements chosen was discussed. We showed that taking into account seven or even nine elements greatly improves the accuracy compared to usual simplified compositions. The proposed method can be useful in designing heat treatments promoting or conversely hindering recrystallization for a wide variety of Nb-bearing steels.https://www.mdpi.com/2075-4701/11/5/715austenitic stainless steelrecrystallizationniobiumthermokinetic modellingDICTRA
spellingShingle Nicolas Cliche
Sylvain Ringeval
Philippe Petit
Jacques Bellus
Eric Georges
François Cortial
Jean-Loup Heuzé
Anne-Françoise Gourgues-Lorenzon
Vladimir A. Esin
Thermokinetic Modelling of High-Temperature Evolution of Primary Nb(C,N) in Austenite Applied to Recrystallization of 316Nb Austenitic Stainless Steel
Metals
austenitic stainless steel
recrystallization
niobium
thermokinetic modelling
DICTRA
title Thermokinetic Modelling of High-Temperature Evolution of Primary Nb(C,N) in Austenite Applied to Recrystallization of 316Nb Austenitic Stainless Steel
title_full Thermokinetic Modelling of High-Temperature Evolution of Primary Nb(C,N) in Austenite Applied to Recrystallization of 316Nb Austenitic Stainless Steel
title_fullStr Thermokinetic Modelling of High-Temperature Evolution of Primary Nb(C,N) in Austenite Applied to Recrystallization of 316Nb Austenitic Stainless Steel
title_full_unstemmed Thermokinetic Modelling of High-Temperature Evolution of Primary Nb(C,N) in Austenite Applied to Recrystallization of 316Nb Austenitic Stainless Steel
title_short Thermokinetic Modelling of High-Temperature Evolution of Primary Nb(C,N) in Austenite Applied to Recrystallization of 316Nb Austenitic Stainless Steel
title_sort thermokinetic modelling of high temperature evolution of primary nb c n in austenite applied to recrystallization of 316nb austenitic stainless steel
topic austenitic stainless steel
recrystallization
niobium
thermokinetic modelling
DICTRA
url https://www.mdpi.com/2075-4701/11/5/715
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