Computational Materials Science2022,Vol.20312.DOI:10.1016/j.commatsci.2021.111165

Development of a plasticity-oriented interatomic potential for CrFeMnNi high entropy alloys

Daramola, Ayobami Bonny, Giovanni Adjanor, Gilles Domain, Christophe Monnet, Ghiath Fraczkiewicz, Anna
Computational Materials Science2022,Vol.20312.DOI:10.1016/j.commatsci.2021.111165

Development of a plasticity-oriented interatomic potential for CrFeMnNi high entropy alloys

Daramola, Ayobami 1Bonny, Giovanni 2Adjanor, Gilles 3Domain, Christophe 3Monnet, Ghiath 3Fraczkiewicz, Anna1
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作者信息

  • 1. Univ Lyon
  • 2. Nucl Mat Sci Inst
  • 3. Elect France
  • 折叠

Abstract

An interatomic potential (termed EAM-21) has been developed with the embedded atomic method (EAM) for CrFeMnNi quaternary HEAs. This potential is based on a previously developed potential for CrFeNi ternary alloys. The parameters to develop the potential were determined by fitting to experimental values, density functional theory (DFT) and thermodynamic calculations, to reproduce the main crystal characteristics, namely: the stability of the fcc phase, elastic constants, and stacking fault energy. Its applicability for the study of plastic deformation mechanisms was checked by calculations of behaviour of a 1/2 < 1 1 0 >{1 1 1} edge dislocation in equiatomic quaternary CrFeMnNi alloy, as well as its less-complex subsystems (ternaries, binaries, and pure metals). The calculations were performed in the domain of temperatures between 0 and 900 K; smooth and stable glide of an edge dislocation and fcc phase stability in this temperature range was confirmed. This study demonstrates the suitability of the EAM-21 potential for the analysis of plasticity mechanisms and mechanical properties of CrFeMnNi HEAs.

Key words

CrFeMnNi high entropy alloys/Atomistic simulations/EAM potential/STACKING-FAULT ENERGY/EMBEDDED-ATOM-METHOD/MECHANICAL-PROPERTIES/FE-MN/TENSILE PROPERTIES/ELASTIC-CONSTANTS/PHASE-STABILITY/MICROSTRUCTURE/DEFORMATION/DYNAMICS

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量5
参考文献量76
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