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MAPAA SIGNED

MULTISCALE ANALYSIS OF PRECIPITATE IN Al-Cu ALLOYS

Total Cost €

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EC-Contrib. €

0

Partnership

0

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Project "MAPAA" data sheet

The following table provides information about the project.

Coordinator
FUNDACION IMDEA MATERIALES 

Organization address
address: CALLE ERIC KANDEL 2 PARQUE CIENTIFICO Y TECNOLOGICO TECNOGETAFE
city: GETAFE
postcode: 28906
website: www.materials.imdea.org

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 172˙932 €
 EC max contribution 172˙932 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-03-01   to  2022-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FUNDACION IMDEA MATERIALES ES (GETAFE) coordinator 172˙932.00

Map

 Project objective

Al-Cu alloys have a wide range of engineering applications due to their low density and high strength provide by a fine dispersion of nm-sized precipitates. The optimization of the mechanical properties of these alloys has been traditionally carried out through costly experimental “trial-and-error” approaches. In this project, a novel methodology is presented to determine the precipitate structure resulting from high temperature ageing and the resulting strength of the alloys from first principles calculations. The strategy is based in two main pillars. The first one is the determination of the Al-rich part of the Al-Cu phase diagram by means the construction of effective cluster expansion Hamiltonians that can extrapolate first-principles calculations in combination with statistical mechanics approaches based on Monte Carlo simulations to include the entropic contributions, enabling parameter-free predictions of the phase diagram. The second one is the combination of this information with phase field modeling to predict the homogeneous and heterogeneous nucleation and growth of precipitates during high temperature ageing and with molecular dynamics and dislocation dynamics simulations to predict the strengthening provided by the precipitates. The approach developed in this proposal will improve the predictive power of Integrated Computational Materials Engineering in Al-Cu alloys. The applicant will transfer her expertise and international connection in the field of multiscale modelling to the host institute. She will work with researchers of the host institution to prompt new areas of research that can attract new funding and receive regular training on transferable skills. All these activities will enlarge her portfolio of skills and will ensure further development of her career.

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The information about "MAPAA" are provided by the European Opendata Portal: CORDIS opendata.

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