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First-principles and genetic modelling of precipitation sequences in aluminium alloys

First-principles and genetic modelling of precipitation sequences in aluminium alloys
First-principles and genetic modelling of precipitation sequences in aluminium alloys

Aluminium alloys display complex phase transitions to achieve their desired properties.Many of these involve elaborated precipitation sequences where the main role is not played by ther-modynamically stable species, but by metastable precipitates instead. An interplay between phasestability, crystal symmetry, diffusion, volume and particle/matrix interfaces sets the pace for the ki-netics. Thermodynamic modelling, which focuses on stable precipitates, is not an aid in describingsuch processes, as it is usually transitional phases that achieve the desired properties. The model pre-sented here combines first-principles to obtain the transition precipitate energetics (both at the bulkand at the interface with the matrix) with thermochemical databases to describe the overall kineticsof stable precipitates. Precipitate size and number density are captured via the Kampmann-Wagner numerical approach, which is embedded in a genetic algorithm to obtain optimal compositional andheat treatment scenarios for the optimisation of the mechanical properties in aluminium alloys of the 7000 series.

Ab initio modelling, Aluminium alloys, CALPHAD, Genetic optimisation, Kinetics, KWN-model, Precipitation, Thermodynamics
1012-0394
285-290
Trans Tech Publications
De Jong, Maarten
415d2ac6-636a-4c3c-a612-83ffbc82cca2
Dutta, Rangan K.
6f702c95-609e-4359-80c4-7b326c69c7a4
Sluiter, Marcel H.F.
1ef90fa9-7437-47a4-80a0-e2e2b4ad521e
Miroux, Alexis G.
d8b3fb64-0759-4828-ad65-97d408800f31
van der Zwaag, Sybrand
ad11f134-8a43-4635-9feb-7c3d01158f4b
Sietsma, Jilt
581d9911-5a25-4b93-9d91-d41a5326211f
Rivera Diaz Del Castillo, Pedro E.J.
6e0abc1c-2aee-4a18-badc-bac28e7831e2
De Jong, Maarten
415d2ac6-636a-4c3c-a612-83ffbc82cca2
Dutta, Rangan K.
6f702c95-609e-4359-80c4-7b326c69c7a4
Sluiter, Marcel H.F.
1ef90fa9-7437-47a4-80a0-e2e2b4ad521e
Miroux, Alexis G.
d8b3fb64-0759-4828-ad65-97d408800f31
van der Zwaag, Sybrand
ad11f134-8a43-4635-9feb-7c3d01158f4b
Sietsma, Jilt
581d9911-5a25-4b93-9d91-d41a5326211f
Rivera Diaz Del Castillo, Pedro E.J.
6e0abc1c-2aee-4a18-badc-bac28e7831e2

De Jong, Maarten, Dutta, Rangan K., Sluiter, Marcel H.F., Miroux, Alexis G., van der Zwaag, Sybrand, Sietsma, Jilt and Rivera Diaz Del Castillo, Pedro E.J. (2011) First-principles and genetic modelling of precipitation sequences in aluminium alloys. In Solid-Solid Phase Transformations in Inorganic Materials. vol. 172-174, Trans Tech Publications. pp. 285-290 . (doi:10.4028/www.scientific.net/SSP.172-174.285).

Record type: Conference or Workshop Item (Paper)

Abstract

Aluminium alloys display complex phase transitions to achieve their desired properties.Many of these involve elaborated precipitation sequences where the main role is not played by ther-modynamically stable species, but by metastable precipitates instead. An interplay between phasestability, crystal symmetry, diffusion, volume and particle/matrix interfaces sets the pace for the ki-netics. Thermodynamic modelling, which focuses on stable precipitates, is not an aid in describingsuch processes, as it is usually transitional phases that achieve the desired properties. The model pre-sented here combines first-principles to obtain the transition precipitate energetics (both at the bulkand at the interface with the matrix) with thermochemical databases to describe the overall kineticsof stable precipitates. Precipitate size and number density are captured via the Kampmann-Wagner numerical approach, which is embedded in a genetic algorithm to obtain optimal compositional andheat treatment scenarios for the optimisation of the mechanical properties in aluminium alloys of the 7000 series.

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More information

Published date: June 2011
Keywords: Ab initio modelling, Aluminium alloys, CALPHAD, Genetic optimisation, Kinetics, KWN-model, Precipitation, Thermodynamics

Identifiers

Local EPrints ID: 492081
URI: http://eprints.soton.ac.uk/id/eprint/492081
ISSN: 1012-0394
PURE UUID: 6bdee4d5-3763-43fb-af08-1cba4c42e6b7
ORCID for Pedro E.J. Rivera Diaz Del Castillo: ORCID iD orcid.org/0000-0002-0419-8347

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Date deposited: 16 Jul 2024 16:45
Last modified: 17 Jul 2024 02:08

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Contributors

Author: Maarten De Jong
Author: Rangan K. Dutta
Author: Marcel H.F. Sluiter
Author: Alexis G. Miroux
Author: Sybrand van der Zwaag
Author: Jilt Sietsma
Author: Pedro E.J. Rivera Diaz Del Castillo ORCID iD

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