CE08 - Matériaux métalliques et inorganiques et procédés associés

Data-driven investigation of three-dimensional instabilities in magneto-active thin films heterogeneously patterned by design – InstaMATiF

Submission summary

We propose to investigate and exploit experimentally, theoretically, numerically and by data-integrated analysis, the instabilities inherently present in magnetorheological elastomer (MRE)-based materials and structures. MREs are smart materials comprising magnetizable particles embedded in a polymeric matrix that can be actuated by a magnetic field. Following earlier works, we plan to create and harness reversible on-demand remotely-controllable 3D surface patterns by imparting non-uniform magneto-mechanical properties on an MRE film resting on a passive or MRE substrate. We aim at achieving this by exploiting liquid additive manufacturing and, in parallel, by developing theoretical and computational tools to analyze the post-bifurcated MRE film patterns under coupled magneto-mechanical loading. The experimental, theoretical and computational information will be synthesized in a data-driven approach using machine learning in order to allow rapid forward predictions of the instabilities as well as for solving the inverse problem. Such developments are crucial for our ultimate goal of designing targeted patterns via machine learning, which could remarkably alleviate the computational burden of numerical design studies.

Project coordination

Laurence Bodelot (Laboratoire de mécanique des solides)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.


University of Stuttgart / Institute of Applied Mechanics
LMS Laboratoire de mécanique des solides

Help of the ANR 492,166 euros
Beginning and duration of the scientific project: - 36 Months

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