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Journal of Materials Science
Erschienen in: Journal of Materials Science 27/2020

22.06.2020 | Metals & corrosion

Monte Carlo simulation of grain refinement during friction stir processing

verfasst von: F. Khodabakhshi, H. Aghajani Derazkola, A. P. Gerlich

Erschienen in: Journal of Materials Science | Ausgabe 27/2020

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Abstract

A procedure combining computational fluid dynamics modeling/Monte Carlo simulation was implemented to predict grain refinement during friction stir processing (FSP) of an Al–Mg alloy. Based on the critical parameters during FSP treatment such as rotational tool speed (w), and traverse velocity (v), the thermal and strain rate contours were simulated, and used as inputs for a statistical model of dynamic recrystallization. Afterward, the simulated grain structures were verified experimentally by electron backscattering diffraction analysis. FSP generated equiaxed grains with average sizes in the range of 3–10 µm depending on the heat input index in terms of w/v ratios in the range of 4–28 rev.min/mm. A correlation between simulated and experimentally validated grain structures is observed, with crystallographic textures consistent with shear strain induced preferred orientations with a dominant {112} <110> component.
Vorheriger Artikel XRD measurement of stacking fault energy of Cr–Ni austenitic steels: influence of temperature and alloying elements
Nächster Artikel Experimental characterisation and modelling of mechanical behaviour of microcapsules

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Metadaten
Titel
Monte Carlo simulation of grain refinement during friction stir processing
verfasst von
F. Khodabakhshi
H. Aghajani Derazkola
A. P. Gerlich
Publikationsdatum
22.06.2020
Verlag
Springer US
Erschienen in
Journal of Materials Science / Ausgabe 27/2020
Print ISSN: 0022-2461
Elektronische ISSN: 1573-4803
DOI
https://doi.org/10.1007/s10853-020-04963-2

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