Prince MENGUE: Strain, temperature and magnetic field elastic waves sensors directly integrated on metal parts

Abstract:
Structural Health Monitoring (SHM) systems help maintain the integrity of
aerospace, civil and mechanical engineering infrastructures. They use a network of
intelligent sensors that enable the collection of data across the entire structure.
Therefore, developing sensors that are sensitive to the environment, have innovative
properties, and allow continuous monitoring of the structure is a major topic. In this
context, surface acoustic wave devices have a wide range of innovative properties.
Their sensitivity to external disturbances allows continuous measurements of various
measurands (temperature, pressure, deformation, etc.). Moreover, these devices can
be interrogated passively (battery-free) and remotely (wirelessly).
The objective of this work is to develop elastic wave, strain, temperature and
magnetic field sensors integrated directly on industrial metal parts. These sensors
have the advantage of eliminating the use of adhesive to attach conventional SAW
devices to the part under test and all the associated stresses, namely: stress relaxation
in the adhesive and / or its rupture.
The development of these devices on different types of industrial metal
substrates and their optimization occupy a large part of this study (the choice of
materials, the preparation of the surfaces of the metal substrates, the growth of the
thin film and the design). The stress of temperature, deformation and magnetic field is
another important step in the study of these devices. Finally, remote sensing has
proven the wireless nature of these sensors on metal SAW.

Keywords: SHM, Sensor, SAW devices, industrial metal, antenna, temperature,
deformation, magnetic field, adhesive

Composition of the jury:
> Reporters:
- Mme Marta CLEMENT (UPM), Professeur, Universidad Politécnica de Madrid
- Mme Hamida HALLIL ABBAS, Maître de Conférences HDR, Université de Bordeaux 
> Examiners:
- M. Sergei ZHGOON, Professeur, National Research University, Moscou, Russie
- M. Pascal NICOLAY, Professeur, Carinthia University of Applied Sciences, Villach, Autriche
- M. Eloi BLAMPAIN, Professeur, Université des Sciences et Techniques de   Masuku, Franceville, Gabon
- M. Thierry AUBERT, Professeur, Université de Lorraine
> Thesis' direction:
- M. Omar ELMAZRIA, Directeur de thèse, Professeur, Université de Lorraine
- M. Sami HAGE-ALI, Co-directeur de thèse, Maître de Conférences HDR, Université de Lorraine