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Computer-Aided Design Of Revolutionary Superalloys

Objective

Metallic alloys are used in many industrial applications, needing the constant development of new materials with tailored properties. However, the relations between composition, processing and properties are so complex that alloy development cannot be made anymore by a traditional trial-and-test procedure, and there is a growing need for models able to predict the behaviour of alloys as a function of composition, and for computer-aided optimisation tools for alloy design. The aim of the project is to develop new predictive models, and to include them in computing tools for the design of new nickel-base superalloys for aeronautical, energy and chemical engineering applications, through an automatic optimisation of composition by multi-objective genetic algorithms. Alloy design tools already exist and rely on a number of predictive models; we intend to extend the range of predictive tools by developing, in the case of multi-phase Ni alloys, on the one hand a model for dynamic recrystallisation (DRX) and on the other hand a model for the resistance to hydrogen embrittlement (RHE). First, computational thermodynamics will allow calculating the compositional dependence of microstructure, through the prediction of the nature and fractions of secondary phases, as well as of the driving force for nucleation, which will be used to evaluate the precipitate size and density. Then, the new models will describe the roles of precipitates on DRX (by acting as nucleation sites for the formation of new grains, or at the opposite by acting as pinning centres for grain boundaries, limiting their mobility and hence retarding or inhibiting DRX), and on RHE (by influencing, among others, the distribution of hydrogen between the matrix, the precipitates, the grain boundaries and the precipitate-matrix interfaces). Once developed and assessed, these models will be integrated as new criteria in an automatic optimisation tool for superalloy design, using multi-objective genetic algorithms.

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MSCA-IF-EF-ST - Standard EF

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2014

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Coordinator

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
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.

€ 97 727,40
Address
TRINITY LANE THE OLD SCHOOLS
CB2 1TN CAMBRIDGE
United Kingdom

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Region
East of England East Anglia Cambridgeshire CC
Activity type
Higher or Secondary Education Establishments
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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.

€ 97 727,40
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