Probabilistic and deterministic full field approaches to simulate recrystallization in ODS steels

Flore Villaret (1, 2) , Benjamin Hary (2, 3) , Yann de Carlan (2) , Thierry Baudin (3) , Roland Logé (4) , Ludovic Maire (1) , Marc Bernacki (1)

1 CEMEF - Centre de Mise en Forme des Matériaux
2 SRMA - Service des Recherches Métallurgiques Appliquées
3 ICMMO - Institut de Chimie Moléculaire et des Matériaux d'Orsay
4 EPFL - Ecole Polytechnique Fédérale de Lausanne

Mechanical and functional properties of Oxide Dispersion Strengthened (ODS) ferritic/martensitic steels are strongly related to their microstructures. Thus, numerical modeling of microstructure evolution during ODS forming is of prime importance. In this work, two well-known full field methodologies dedicated to re-crystallization modeling, the level-set and the Monte Carlo methods, are applied, discussed and compared to experimental data in their ability to describe properly recrystallization for ODS steels.

Mots clés: ODS; Grain growth Recrystallization; Monte Carlo method; Level-set method; Smith-Zener pinning; ODS; Grain Growth; Recrystallization; Monte Carlo Method; Level-Set Method; Smith-Zener Pinning

Domaines: Matériaux

Flore Villaret, Benjamin Hary, Yann de Carlan, Thierry Baudin, Roland Logé, et al.. Probabilistic and deterministic full field approaches to simulate recrystallization in ODS steels. Computational Materials Science, 2020, 179, pp.109646. ⟨10.1016/j.commatsci.2020.109646⟩. ⟨hal-03010505⟩