ADAM - Accelerated Design of Architectured Materials

The objective of the workpackage is to provide numerous and enriched characterization data at high rate both for additive manufacturing optimization and the digital design of materials. For that purpose, we are developping novel and dedicated setups to characterize the additive manufacturing process and the (hygro)mechanical properties of architectured materials to be designed : instrumented 3D printers, automatized hexapod and tension-torsion machine. The two first setups will be inserted into X-ray tomographs (ESRF beamlines BM18 or BM5 and laboratory X-ray tomographs) in order to get enriched with high rate 3D images during the processing and the multiaxial deformation architectured materials.

The main objective of this workpackage is to develop tools and methods to make intense use AI techniques (a) to speed up the data acquisition and analysis of real time 3D images acquired during in situ and in operando experiments (WP1), (b) to optimize processing parameters from the in operando data or from numerical simulation used for forming processes, (c) to speed up the design of the material mesoscale architectures: numerical methods that combine topological and morphological optimization algorithms together with the hybrid version of AI.

The proofs of concept will be achieved using three architectured materials processed by additive manufacturing. For the two first metallic systems, by combining (1) instrumented 3D printers to gain in operando data, (2) fast 3D and in situ images of morphologies and physical fields of the processed and deformed architectures, (3) advanced modelling techniques in materials science and structure optimization, and (4) AI and data mining technologies, we plan to tailor their mesostructures and to optimize, respectively, their specific mechanical (elastoplastic) properties and their conductive and radiative properties. The third system is a 4D-printed architectured bio-sourced hydrophilic polymer, the mesostructure of which will be processed and optimized with the same route to reach novel hygromorphic properties.