Examining oxidation in β-NiAl and β-NiAl+Hf alloys by stochastic cellular automata simulations

Abstract We present results from a stochastic cellular automata (CA) model developed and employed for examining the oxidation kinetics of NiAl and NiAl+Hf alloys. The rules of the CA model are grounded in diffusion probabilities and basic principles of alloy oxidation. Using this approach, we can mo...

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Autores principales: Indranil Roy, Pratik K. Ray, Ganesh Balasubramanian
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/a9e93befa9b2439e877426b45738f81f
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spelling oai:doaj.org-article:a9e93befa9b2439e877426b45738f81f2021-11-07T12:07:05ZExamining oxidation in β-NiAl and β-NiAl+Hf alloys by stochastic cellular automata simulations10.1038/s41529-021-00202-42397-2106https://doaj.org/article/a9e93befa9b2439e877426b45738f81f2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41529-021-00202-4https://doaj.org/toc/2397-2106Abstract We present results from a stochastic cellular automata (CA) model developed and employed for examining the oxidation kinetics of NiAl and NiAl+Hf alloys. The rules of the CA model are grounded in diffusion probabilities and basic principles of alloy oxidation. Using this approach, we can model the oxide scale thickness and morphology, specific mass change and oxidation kinetics as well as an approximate estimate of the stress and strains in the oxide scale. Furthermore, we also incorporate Hf in the grain boundaries and observe the “reactive element effect”, where doping with Hf results in a drastic reduction in the oxidation kinetics concomitant with the formation of thin, planar oxide scales. Interestingly, although we find that grain boundaries result in rapid oxidation of the undoped NiAl, they result in a slower-growing oxide and a planar oxide/metal interface when doped with Hf.Indranil RoyPratik K. RayGanesh BalasubramanianNature PortfolioarticleMaterials of engineering and construction. Mechanics of materialsTA401-492ENnpj Materials Degradation, Vol 5, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Materials of engineering and construction. Mechanics of materials
TA401-492
spellingShingle Materials of engineering and construction. Mechanics of materials
TA401-492
Indranil Roy
Pratik K. Ray
Ganesh Balasubramanian
Examining oxidation in β-NiAl and β-NiAl+Hf alloys by stochastic cellular automata simulations
description Abstract We present results from a stochastic cellular automata (CA) model developed and employed for examining the oxidation kinetics of NiAl and NiAl+Hf alloys. The rules of the CA model are grounded in diffusion probabilities and basic principles of alloy oxidation. Using this approach, we can model the oxide scale thickness and morphology, specific mass change and oxidation kinetics as well as an approximate estimate of the stress and strains in the oxide scale. Furthermore, we also incorporate Hf in the grain boundaries and observe the “reactive element effect”, where doping with Hf results in a drastic reduction in the oxidation kinetics concomitant with the formation of thin, planar oxide scales. Interestingly, although we find that grain boundaries result in rapid oxidation of the undoped NiAl, they result in a slower-growing oxide and a planar oxide/metal interface when doped with Hf.
format article
author Indranil Roy
Pratik K. Ray
Ganesh Balasubramanian
author_facet Indranil Roy
Pratik K. Ray
Ganesh Balasubramanian
author_sort Indranil Roy
title Examining oxidation in β-NiAl and β-NiAl+Hf alloys by stochastic cellular automata simulations
title_short Examining oxidation in β-NiAl and β-NiAl+Hf alloys by stochastic cellular automata simulations
title_full Examining oxidation in β-NiAl and β-NiAl+Hf alloys by stochastic cellular automata simulations
title_fullStr Examining oxidation in β-NiAl and β-NiAl+Hf alloys by stochastic cellular automata simulations
title_full_unstemmed Examining oxidation in β-NiAl and β-NiAl+Hf alloys by stochastic cellular automata simulations
title_sort examining oxidation in β-nial and β-nial+hf alloys by stochastic cellular automata simulations
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/a9e93befa9b2439e877426b45738f81f
work_keys_str_mv AT indranilroy examiningoxidationinbnialandbnialhfalloysbystochasticcellularautomatasimulations
AT pratikkray examiningoxidationinbnialandbnialhfalloysbystochasticcellularautomatasimulations
AT ganeshbalasubramanian examiningoxidationinbnialandbnialhfalloysbystochasticcellularautomatasimulations
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