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Theory of twin strengthening in fcc high entropy alloys

Recep Ekin Kubilay1*, W.A. Curtin1*

1 Laboratory for Multiscale Mechanics Modeling, Institute of Mechanical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland

* Corresponding authors emails: recep.kubilay@epfl.ch, william.curtin@epfl.ch
DOI10.24435/materialscloud:h4-0e [version v1]

Publication date: Oct 28, 2021

How to cite this record

Recep Ekin Kubilay, W.A. Curtin, Theory of twin strengthening in fcc high entropy alloys, Materials Cloud Archive 2021.174 (2021), https://doi.org/10.24435/materialscloud:h4-0e

Description

Twinning in fcc High Entropy Alloys (HEAs) has been implicated as a possible mechanism for hardening that enables enhanced ductility. Here, a theory for the twinning stress is developed analogous to recent theories for yield stress. Specifically, the stress to move a twin dislocation, i.e an fcc partial dislocation moving along a pre-existing twin boundary, through a random multicomponent alloy is determined. A reduced elasticity theory is then introduced in which atoms interact with the twin dislocation pressure field and the twin boundary. The theory is applied to NiCoCr using results from both interatomic potentials and elasticity theory. Results are also used to predict the increased stress for the motion of (i) a single partial dislocation leaving a trailing stacking fault and (ii) adjacent partial dislocations involved in twin nucleation. Increased strength is predicted for all processes involved in the nucleation and growth of fcc twins. Comparison to single-crystal experiments at room temperature then suggests that twinning is controlled by twin nucleation, with reasonable quantitative agreement. When solute/fault interactions are neglected, the theory shows that twinning and lattice flow stresses are related. The theory also provides insight into how other dilute solute additions could suppress twinning, as found experimentally.

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Keywords

Twinning Solute strengthening Random alloys SNSF

Version history:

2021.174 (version v1) [This version] Oct 28, 2021 DOI10.24435/materialscloud:h4-0e