Computational property predictions of Ta–Nb–Hf–Zr high-entropy alloys

Abstract Refractory high entropy alloys (R-HEAs) are becoming prominent in recent years because of their properties and uses as high strength and high hardness materials for ambient and high temperature, aerospace and nuclear radiation tolerance applications, orthopedic applications etc. The mechani...

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Autores principales:	Shashank Mishra, Soumyadipta Maiti, Beena Rai
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/55b695e08565401fbba916c51db67e26
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spelling	oai:doaj.org-article:55b695e08565401fbba916c51db67e262021-12-02T13:34:45ZComputational property predictions of Ta–Nb–Hf–Zr high-entropy alloys10.1038/s41598-021-84260-32045-2322https://doaj.org/article/55b695e08565401fbba916c51db67e262021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84260-3https://doaj.org/toc/2045-2322Abstract Refractory high entropy alloys (R-HEAs) are becoming prominent in recent years because of their properties and uses as high strength and high hardness materials for ambient and high temperature, aerospace and nuclear radiation tolerance applications, orthopedic applications etc. The mechanical properties like yield strength and ductility of TaNbHfZr R-HEA depend on the local nanostructure and chemical ordering, which in term depend on the annealing treatment. In this study we have computationally obtained various properties of the equimolar TaNbHfZr alloy like the role of configurational entropy in the thermodynamic property, rate of evolution of nanostructure morphology in thermally annealed systems, dislocation simulation based quantitative prediction of yield strength, nature of dislocation movement through short range clustering (SRC) and qualitative prediction of ductile to brittle transition behavior. The simulation starts with hybrid Monte Carlo/Molecular Dynamics (MC/MD) based nanostructure evolution of an initial random solid solution alloy structure with BCC lattice structure created with principal axes along [1 1 1], [− 1 1 0] and [− 1 − 1 2] directions suitable for simulation of ½[1 1 1] edge dislocations. Thermodynamic properties are calculated from the change in enthalpy and configurational entropy, which in term is calculated by next-neighbor bond counting statistics. The MC/MD evolved structures mimic the annealing treatment at 1800 °C and the output structures are replicated in periodic directions to make larger 384,000 atom structures used for dislocation simulations. Edge dislocations were utilized to obtain and explain for the critically resolved shear stress (CRSS) for the structures with various degrees of nanostructure evolution by annealing, where extra strengthening was observed because of the formations of SRCs. Lastly the MC/MD evolved structures containing dislocations are subjected to a high shear stress beyond CRSS to investigate the stability of the dislocations and the lattice structures to explain the experimentally observed transition from ductile to brittle behavior for the TaNbHfZr R-HEA.Shashank MishraSoumyadipta MaitiBeena RaiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Shashank Mishra Soumyadipta Maiti Beena Rai Computational property predictions of Ta–Nb–Hf–Zr high-entropy alloys
description	Abstract Refractory high entropy alloys (R-HEAs) are becoming prominent in recent years because of their properties and uses as high strength and high hardness materials for ambient and high temperature, aerospace and nuclear radiation tolerance applications, orthopedic applications etc. The mechanical properties like yield strength and ductility of TaNbHfZr R-HEA depend on the local nanostructure and chemical ordering, which in term depend on the annealing treatment. In this study we have computationally obtained various properties of the equimolar TaNbHfZr alloy like the role of configurational entropy in the thermodynamic property, rate of evolution of nanostructure morphology in thermally annealed systems, dislocation simulation based quantitative prediction of yield strength, nature of dislocation movement through short range clustering (SRC) and qualitative prediction of ductile to brittle transition behavior. The simulation starts with hybrid Monte Carlo/Molecular Dynamics (MC/MD) based nanostructure evolution of an initial random solid solution alloy structure with BCC lattice structure created with principal axes along [1 1 1], [− 1 1 0] and [− 1 − 1 2] directions suitable for simulation of ½[1 1 1] edge dislocations. Thermodynamic properties are calculated from the change in enthalpy and configurational entropy, which in term is calculated by next-neighbor bond counting statistics. The MC/MD evolved structures mimic the annealing treatment at 1800 °C and the output structures are replicated in periodic directions to make larger 384,000 atom structures used for dislocation simulations. Edge dislocations were utilized to obtain and explain for the critically resolved shear stress (CRSS) for the structures with various degrees of nanostructure evolution by annealing, where extra strengthening was observed because of the formations of SRCs. Lastly the MC/MD evolved structures containing dislocations are subjected to a high shear stress beyond CRSS to investigate the stability of the dislocations and the lattice structures to explain the experimentally observed transition from ductile to brittle behavior for the TaNbHfZr R-HEA.
format	article
author	Shashank Mishra Soumyadipta Maiti Beena Rai
author_facet	Shashank Mishra Soumyadipta Maiti Beena Rai
author_sort	Shashank Mishra
title	Computational property predictions of Ta–Nb–Hf–Zr high-entropy alloys
title_short	Computational property predictions of Ta–Nb–Hf–Zr high-entropy alloys
title_full	Computational property predictions of Ta–Nb–Hf–Zr high-entropy alloys
title_fullStr	Computational property predictions of Ta–Nb–Hf–Zr high-entropy alloys
title_full_unstemmed	Computational property predictions of Ta–Nb–Hf–Zr high-entropy alloys
title_sort	computational property predictions of ta–nb–hf–zr high-entropy alloys
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/55b695e08565401fbba916c51db67e26
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Computational property predictions of Ta–Nb–Hf–Zr high-entropy alloys

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