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MULTISCALE ANALYSIS OF PRECIPITATE IN Al-Cu ALLOYS

Project description

Eliminating trial-and-error approaches in the design of precipitation-strengthened Al-Cu alloys

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 EU-funded MAPAA project presents a novel methodology to determine the precipitate structure and alloy strength resulting from high temperature ageing 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 in combination with statistical mechanics. The information is used as input for phase field modeling to predict the nucleation and growth of precipitates during ageing while molecular dynamics and dislocation dynamics are used to predict the strengthening provided by the precipitates.

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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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

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(opens in new window) H2020-MSCA-IF-2019

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Coordinator

FUNDACION IMDEA MATERIALES
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 172 932,48
Address
CALLE ERIC KANDEL 2 PARQUE CIENTIFICO Y TECNOLOGICO TECNOGETAFE
28906 Getafe
Spain

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
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Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 172 932,48
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