 |
 |
|
Tancret, F. (2013) Computational thermodynamics, Gaussian processes and genetic algorithms: combined tools to design new alloys. Model. Simul. Mater. Sci. Eng. 21 045013.
Added by: Laurent Cournède (2016-03-10 21:23:30) |
| Type de référence: Article DOI: 10.1088/0965-0393/21/4/045013 Numéro d'identification (ISBN etc.): 0965-0393 Clé BibTeX: Tancret2013 Voir tous les détails bibliographiques  |
Catégories: ID2M Créateurs: Tancret Collection: Model. Simul. Mater. Sci. Eng. |
Consultations : 1/501
Indice de consultation : 3% Indice de popularité : 0.75% |
| Résumé |
|
A new alloy design procedure is proposed, combining in a single computational tool several modelling and predictive techniques that have already been used and assessed in the field of materials science and alloy design: a genetic algorithm is used to optimize the alloy composition for target properties and performance on the basis of the prediction of mechanical properties (estimated by Gaussian process regression of data on existing alloys) and of microstructural constitution, stability and processability (evaluated by computational themodynamics). These tools are integrated in a unique Matlab programme. An example is given in the case of the design of a new nickel-base superalloy for future power plant applications (such as the ultra-supercritical (USC) coal-fired plant, or the high-temperature gas-cooled nuclear reactor (HTGCR or HTGR), where the selection criteria include cost, oxidation and creep resistance around 750 degrees C, long-term stability at service temperature, forgeability, weldability, etc.
Added by: Laurent Cournède |