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

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Computational design of light and strong high entropy alloys (HEA): Obtainment of an extremely high specific solid solution hardening. / Menou, Edern; Tancret, Franck; Toda-Caraballo, Isaac et al.
In: Scripta Materialia, Vol. 156, 11.2018, p. 120-123.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Menou, E, Tancret, F, Toda-Caraballo, I, Ramstein, G, Castany, P, Bertrand, E, Gautier, N & Rivera Díaz-Del-Castillo, PEJ 2018, 'Computational design of light and strong high entropy alloys (HEA): Obtainment of an extremely high specific solid solution hardening', Scripta Materialia, vol. 156, pp. 120-123. https://doi.org/10.1016/j.scriptamat.2018.07.024

APA

Menou, E., Tancret, F., Toda-Caraballo, I., Ramstein, G., Castany, P., Bertrand, E., Gautier, N., & Rivera Díaz-Del-Castillo, P. E. J. (2018). Computational design of light and strong high entropy alloys (HEA): Obtainment of an extremely high specific solid solution hardening. Scripta Materialia, 156, 120-123. https://doi.org/10.1016/j.scriptamat.2018.07.024

Vancouver

Menou E, Tancret F, Toda-Caraballo I, Ramstein G, Castany P, Bertrand E et al. Computational design of light and strong high entropy alloys (HEA): Obtainment of an extremely high specific solid solution hardening. Scripta Materialia. 2018 Nov;156:120-123. Epub 2018 Jul 23. doi: 10.1016/j.scriptamat.2018.07.024

Author

Menou, Edern ; Tancret, Franck ; Toda-Caraballo, Isaac et al. / Computational design of light and strong high entropy alloys (HEA) : Obtainment of an extremely high specific solid solution hardening. In: Scripta Materialia. 2018 ; Vol. 156. pp. 120-123.

Bibtex

@article{9449c483ed3543a8a4d09c1dc91d29a5,
title = "Computational design of light and strong high entropy alloys (HEA): Obtainment of an extremely high specific solid solution hardening",
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.",
keywords = "Phase diagram, Modeling, Simulation, Thermodynamics, Machine learning",
author = "Edern Menou and Franck Tancret and Isaac Toda-Caraballo and G{\'e}rard Ramstein and Philippe Castany and Emmanuel Bertrand and Nicolas Gautier and {Rivera D{\'i}az-Del-Castillo}, {Pedro Eduardo Jose}",
year = "2018",
month = nov,
doi = "10.1016/j.scriptamat.2018.07.024",
language = "English",
volume = "156",
pages = "120--123",
journal = "Scripta Materialia",
issn = "1359-6462",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Computational design of light and strong high entropy alloys (HEA)

T2 - Obtainment of an extremely high specific solid solution hardening

AU - Menou, Edern

AU - Tancret, Franck

AU - Toda-Caraballo, Isaac

AU - Ramstein, Gérard

AU - Castany, Philippe

AU - Bertrand, Emmanuel

AU - Gautier, Nicolas

AU - Rivera Díaz-Del-Castillo, Pedro Eduardo Jose

PY - 2018/11

Y1 - 2018/11

N2 - 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.

AB - 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.

KW - Phase diagram

KW - Modeling

KW - Simulation

KW - Thermodynamics

KW - Machine learning

U2 - 10.1016/j.scriptamat.2018.07.024

DO - 10.1016/j.scriptamat.2018.07.024

M3 - Journal article

VL - 156

SP - 120

EP - 123

JO - Scripta Materialia

JF - Scripta Materialia

SN - 1359-6462

ER -