Descrizione del progetto
Nuove soluzioni per il problema della progettazione dei materiali
Si sta aprendo una nuova finestra di opportunità per i metamateriali, grazie ai progressi nella produzione additiva e nelle tecniche di stampa 3D. Nonostante le impressionanti proprietà che vantano i metamateriali (sono leggeri, rigidi e resistenti), la maggior parte di questi materiali avanzati è stata progettata senza considerare alcun vincolo di produzione; ad esempio, mostrano segni di fragilità o resistenza limitata. Per risolvere questi limiti, il progetto MADAM, finanziato dall’UE, incorporerà proprietà di producibilità e resistenza nel processo di progettazione dei materiali. In particolare, il progetto svilupperà algoritmi numerici per risolvere i problemi di progettazione che sorgono quando si considerano i vincoli relativi alla produzione additiva e alle sollecitazioni.
Obiettivo
This projects aims to develop numerical algorithms for designing the new generation of advanced materials: Metamaterials. Their impressive properties (one of the lightest, stiffest and strongest materials available today) arise from their non intuitive topologies. Due to the additive manufacturing (AM) revolution or 3D-printing techniques, we are at the right moment where these complex topologies are now possible to be created.
However, additive manufacturing has its own manufacturability constraints. Although several advances have been developed in the last years, most of these new advanced materials, specially mechanical metamaterials, have been designed with considering no manufacturability constraints, i.e. are just theoretically design. Even more worrying, when manufacturability is possible, they show severe symptoms of fragility or limited resistance. MADAM project seeks to solve these limitations incorporating manufacturability and resistance properties in the process of material design (MAD).
The specific objectives are:
1) Develop numerical algorithms to solve the MAD problem when considering AM constraints.
2) Develop numerical algorithms to solve the MAD problem when considering stress constraints.
3) Develop second order optimization algorithms to efficiently solve the MAD problem.
The project is throughly designed for maximizing training and transfer of knowledge to the host. Risk and project management, IPR and Communication activities are also meticulously designed.
Additionally, MADAM will be connected with the enormous multi-partner AM Sofia consortium (Michelin, EADS) by disseminating and attending (confirmed) to monthly industrial meetings. My supervisor’s experience, the full assistance of his group, CMAP scientific knowledge and Ecole Polytechnique resources are the perfect instruments for developing the MADAM project.
Campo scientifico
Parole chiave
Programma(i)
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Meccanismo di finanziamento
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinatore
91128 Palaiseau Cedex
Francia