Computational design of light and strong high entropy alloys (HEA) Obtainment of an extremely high specific solid solution hardening

E. Menou 1 F. Tancret 1 I. Toda-Caraballo 2 G. Ramstein 3 P. Castany 4 E. Bertrand 1 N. Gautier 1 P.E.J. Rivera Díaz-Del-Castillo 2
1 IMN - Institut des Matériaux Jean Rouxel
2 CAM - University of Cambridge [UK]
3 LS2N - Laboratoire des Sciences du Numérique de Nantes
4 ISCR - Institut des Sciences Chimiques de Rennes
Abstract : A multi-objective optimisation genetic algorithm combining solid solution hardening (SSH) and thermodynamic modelling (CALPHAD) with data mining is used to design high entropy alloys (HEAs). The approach searches for the best compromise between single-phase stability, SSH and density. Thousands of Pareto-optimal base-centred cubic (BCC) HEAs are designed. Al35Cr35Mn8Mo5Ti17 (at.%) is chosen for experimental validation. The alloy was cast and characterised. Its microstructure consists of large grains of a single disordered solid solution displaying a Vickers hardness of 6.45 GPa (658 HV) and a density below 5.5 g/cm3; uniquely combining exceptional hardness with medium density. © 2018 Acta Materialia Inc
Keywords : Machine learning Modeling Phase diagram Simulation Thermodynamics
Type de document :
Article dans une revue
Scripta Materialia, 2018, 156, pp.120-123. 〈10.1016/j.scriptamat.2018.07.024〉
Domaine :
Liste complète des métadonnées
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01874721
Contributeur : Laurent Jonchère <>
Soumis le : vendredi 14 septembre 2018 - 15:46:12
Dernière modification le : dimanche 23 décembre 2018 - 19:01:21

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UNIV-RENNES1 | ISCR | EC-NANTES | IMN | UNAM | ID2M | UR1-UFR-SPM | INC-CNRS | SCR_CM | LS2N | UNIV-NANTES | UNIV-RENNES | INSA-RENNES | LS2N-DUKE | INSA-GROUPE

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E. Menou, F. Tancret, I. Toda-Caraballo, G. Ramstein, P. Castany, et al.. Computational design of light and strong high entropy alloys (HEA) Obtainment of an extremely high specific solid solution hardening. Scripta Materialia, 2018, 156, pp.120-123. 〈10.1016/j.scriptamat.2018.07.024〉. 〈hal-01874721〉

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