TRU 1 : Inductive techniques in complex environments

The TRU is committed to the development of tools to assist in the development of innovative electromagnetic processes, particularly in complex environments, i.e. in the presence of strong heterogeneity, anisotropy, scale factor and taking into account the whole environment in which the process will be used. These innovative electromagnetic processes must meet the challenges of improving energy efficiency, making processes more reliable and developing innovative materials (high-performance sustainable composite materials, those obtained by additive manufacturing and Curie points).

These issues are found in "Protecting the environment and ensuring our ecological and energy transition, in particular towards mobility without fossil fuels", one of the 4 fundamental societal issues from the DGE document "making France a technological breakthrough economy", as well as among the 12 emerging markets requiring public support from this same document. We can also find these issues in the H2020 Key Enabling Technologies: "Advanced Manufacturing" and "Advanced Materials and Nanomaterials".

Furthermore, when structuring the I-Site, the University of Nantes defined four key themes, including "Industry of the future" and "Health of the future". The industry of the future, or 4.0, is also supported by the region through the RFI Wise, the Technocampus and also by the IRT Jules Verne.

On the development of inductive techniques in complex environments, three issues have been identified:
  • Improvement of electromagnetic power transmission in specific complex environments: electrical machines, induction heating systems for composites, underwater cables.
  • Improvement of non-destructive testing (NDT) methods through the "Process Monitoring" approach, which consists of integrating NDT qualification into the various manufacturing stages, in order to avoid applying high-value manufacturing procedures to defective or high-risk parts.
  • Identification of electrical and magnetic properties of complex materials with associated uncertainties, and their integration into models.
Mis à jour le 06 April 2023.