Unveiling nonmonotonic chemical trends in the solubility of H in complex Fe-Cr-Mn carbides by means of ab initio based approaches

Journal Article (2022)
Author(s)

Lekshmi Sreekala (Max-Planck-Institut für Eisenforschung)

P. Dey (TU Delft - Team Poulumi Dey)

Tilmann Hickel (Max-Planck-Institut für Eisenforschung, Federal Institute for Materials Research and Testing Berlin)

Jörg Neugebauer (Max-Planck-Institut für Eisenforschung)

Research Group
Team Poulumi Dey
Copyright
© 2022 Lekshmi Sreekala, P. Dey, Tilmann Hickel, Jörg Neugebauer
DOI related publication
https://doi.org/10.1103/PhysRevMaterials.6.014403
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 Lekshmi Sreekala, P. Dey, Tilmann Hickel, Jörg Neugebauer
Research Group
Team Poulumi Dey
Issue number
1
Volume number
6
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The microstructure of advanced high-strength steels often shows a sensitive dependence on alloying. For example, adding Cr to improve the corrosion resistance of medium-Mn steels also enhances the precipitation of carbides. The current study focuses on the behavior of H in such complex multicomponent carbides by employing different methodological strategies. We systematically analyze the impact of Cr, Mn, and Fe using density functional theory (DFT) for two prototype precipitate phases, M3C and M23C6, where M represents the metal sublattice. Our results show that the addition of these alloying elements yields strong nonmonotonic chemical trends for the H solubility. We identify magnetovolume effects as the origin for this behavior, which depend on the considered system, the sites occupied by H, and short- vs long-range interactions between H and the alloying elements. We further show that the H solubility is directly correlated with the occupation of its nearest-neighbor shells by Cr and Mn. Based on these insights, DFT data from H containing binary-metal carbides are used to design a ridge regression based model that predicts the solubility of H in the ternary-metal carbides (Fe-Cr-Mn-C).