Othmane MARBOUH
Defense: October 23, 2024 at 1:30 p.m.
Boda Amphitheatre - Centrale Lille
Jury :
- Abdelkrim TALBICentrale Lille Institute, thesis supervisor.
- Abdelkader BENABOU, Ecole Polytechnique Universitaire de Lille , Thesis co-supervisor
- Abdelmounaim TOUNZIUniversity of Lille, thesis co-supervisor
- Aurélie GENSBITTELSorbonne University , Examiner
- Olivier BOU MATARCentrale Lille Institut , Examiner
- Vincent LANFRANCHIUniversité de Technologie de Compiègne, Rapporteur
- Aktham ASFOURUniversity of Rennes, Rapporteur
- Anne-Claire SALAUNDirector of Research, CNRS, Examiner
- Aymen AMMARJeumont Electric , CNRS, Guest
Summary:
High-power electrical machines are subject to severe mechanical, thermal and magnetic stresses during operation. To ensure their reliability and continuity of operation, it is crucial to have real-time information on these stresses, often on a local scale. Wireless and battery-free sensor technologies, combined with efficient data analysis and signal processing techniques, are essential to meet this need. Surface acoustic waves make it possible to design wireless and totally passive sensors capable of measuring numerous physical quantities such as temperature, mechanical stress and magnetic field, thanks to advanced design engineering. The work carried out in this thesis led to the development of multi-physics SAW sensors for measuring strain, temperature and magnetic field. These sensors were first calibrated on laboratory test benches and then used to characterise the mechanical properties, such as magnetostriction, and magnetic properties, such as magnetic losses, of ferromagnetic laminations used in the design of high-power electrical machines.The thesis project involves JEUMONT Electric (a high-tech company specialising in energy conversion solutions), the IEMN's AIMAN-FILMS group and L2EP's Numerical Tools and Methods team. Each partner brings specific skills to bear on the multi-physics instrumentation of high-power electrical machines.
Abstract:
High-power electric machines are subjected to severe mechanical, thermal, and magnetic stresses during operation. To ensure their reliability and continuous operation, it is crucial to have real-time information on these stresses, often at a local level. Wireless and battery-free sensor technologies, combined with efficient data analysis and signal processing techniques, are essential to meet this need. Surface acoustic waves allow the design of wireless and completely passive sensors capable of measuring various physical quantities such as temperature, mechanical stress, and magnetic field through advanced design engineering. The work conducted in this thesis led to the development of multiphysical SAW sensors for measuring strain, temperature, and magnetic field. These sensors were first calibrated in laboratory test benches and then used to characterize the mechanical properties, such as magnetostriction, and magnetic properties, such as magnetic losses, of ferromagnetic sheets used in the design of high-power electric machines. The thesis project involves JEUMONT Electric (a high-tech company specialising in energy conversion solutions), the AIMAN-FILMS group of IEMN, and the Numerical Tools and Methods team of L2EP. Each partner brings specific expertise to address the multiphysical instrumentation of high-power electric machines.