4.7 Article

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

期刊

SCRIPTA MATERIALIA
卷 156, 期 -, 页码 120-123

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.scriptamat.2018.07.024

关键词

Phase diagram; Modeling; Simulation; Thermodynamics; Machine learning

资金

  1. European Union's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie grant [656249]
  2. EPSRC [EP/L025213/1] Funding Source: UKRI

向作者/读者索取更多资源

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/cm(3); uniquely combining exceptional hardness with medium density. (C) 2018 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

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