Computer-Aided Design Of Revolutionary Superalloys

Información del proyecto

CADORS

Identificador del acuerdo de subvención: 656249

DOI

10.3030/656249

Proyecto cerrado

Fecha de la firma de la CE 13 Marzo 2015

Fecha de inicio 1 Septiembre 2015

Fecha de finalización 31 Agosto 2016

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 97 727,40

Aportación de la UE

€ 97 727,40

Coordinado por

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom

Objetivo

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.

Ámbito científico (EuroSciVoc)

• ciencias agrícolas › agricultura, silvicultura y pesca › agricultura › granos y semillas oleoaginosas
• ciencias naturales › ciencias químicas › electroquímica › electrólisis
• ciencias naturales › ciencias físicas › termodinámica
• ingeniería y tecnología › ingeniería química

Programa(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions PROGRAMA PRINCIPAL
  
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
  

Tema(s)

• MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF)
  

Régimen de financiación

MSCA-IF-EF-ST - Standard EF

Convocatoria de propuestas

H2020-MSCA-IF-2014

Coordinador

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

• Aportación neta de la UEn: € 97 727,40
• Dirección: TRINITY LANE THE OLD SCHOOLS ; CB2 1TN CAMBRIDGE ; Reino Unido
• Región: East of England › East Anglia › Cambridgeshire CC
• Tipo de actividad: Higher or Secondary Education Establishments
• Coste total: € 97 727,40