Description du projet
De nouvelles solutions aux problèmes de conception des matériaux
Les progrès des techniques de fabrication additive (FA) et d’impression 3D ouvrent un nouveau créneau d’application pour les nanomatériaux. Malgré leurs propriétés impressionnantes (légers, rigides et solides) dont on vante souvent les mérites, la plupart de ces matériaux de pointe ont été conçus sans tenir compte des contraintes de fabrication. Ils présentent par exemple des signes de fragilité ou une résistance limitée. Pour remédier à ces limitations, le projet MADAM, financé par l’UE, prévoit d’intégrer les propriétés de fabricabilité et de résistance au processus de conception de ces matériaux. Plus précisément, le projet développera des algorithmes numériques visant à résoudre les problèmes de conception qui se posent lorsqu’on tient compte des contraintes relatives à la FA et à la résistance.
Objectif
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.
Champ scientifique
Mots‑clés
Programme(s)
Régime de financement
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinateur
91128 Palaiseau Cedex
France