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26.02.2018 | Metals

A semitopological mean-field model of discontinuous dynamic recrystallization

Toward a correct and rapid prediction of grain-size distribution

verfasst von: David Piot, Guillaume Smagghe, John Joseph Jonas, Christophe Desrayaud, Frank Montheillet, Gilles Perrin, Aurore Montouchet, Guillaume Kermouche

Erschienen in: Journal of Materials Science | Ausgabe 11/2018

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Abstract

Some mean-field models are currently available for discontinuous dynamic recrystallization (DDRX). They offer an affordable way to predict the variation of averages altered by DDRX as flow stress, grain size and recrystallized fraction. They predict also a grain-size distribution, but it appears unrealistic, at least if a deterministic equation governs the migration of grain boundaries. The present paper exposes an extension to mean-field models which introduces some topological and stochastic features in the migration equation. This extension aims to bridge the gap between mean- and full-field models. It allows predicting realistic distributions of grain size by keeping the simplicity of mean-field approaches. The results obtained are consistent with experimental data on an 18% Cr–11% Ni stainless steel.

Vorheriger Artikel Elasticity and internal friction of magnesium alloys at room and elevated temperatures

Nächster Artikel Local strain redistribution in a coarse-grained nickel-based superalloy subjected to shot-peening, fatigue or thermal exposure investigated using synchrotron X-ray Laue microdiffraction

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It is worth to note that if the neighborhood is randomly changed at each strain, or time, increment, the results present some noise but all the trends in the middle of scatter are not altered from previous SMF results.

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Titel: A semitopological mean-field model of discontinuous dynamic recrystallization
Toward a correct and rapid prediction of grain-size distribution
verfasst von: David Piot
Guillaume Smagghe
John Joseph Jonas
Christophe Desrayaud
Frank Montheillet
Gilles Perrin
Aurore Montouchet
Guillaume Kermouche
Publikationsdatum: 26.02.2018
Verlag: Springer US
Erschienen in: Journal of Materials Science / Ausgabe 11/2018
Print ISSN: 0022-2461
Elektronische ISSN: 1573-4803
DOI: https://doi.org/10.1007/s10853-018-2137-3

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