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Factory of the future incl. robotics and non destructive testing
Study of inversion methods based on simulation and machine learning for defect characterisation in ultrasonic array imaging
The thesis work is part of the activities of CEA-List department dedicated to Non-Destructive Testing (NDT), and aims to study simulation-based inversion methods to characterise defects from ultrasonic images, such as TFM (Total Focusing Method) or PWI (Plane Wave Imaging) images. The inversion methodology will rely on machine learning algorithms and numerical training databases generated...
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Factory of the future incl. robotics and non destructive testing
High mobility mobile manipulator control in a dynamic context
The development of mobile manipulators capable of adapting to new conditions is a major step forward in the development of new means of production, whether for industrial or agricultural applications. Such technologies enable repetitive tasks to be carried out with precision and without the constraints of limited workspace. Nevertheless, the efficiency of such robots depends...
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Factory of the future incl. robotics and non destructive testing
Microstructural characterization by bulk laser-ultrasounds tomography
The proposed thesis falls into the framework of designing innovative methods in the materials characterization. The thesis aims to develop a new tomographic technique for characterizing microstructures using bulk laser ultrasound. In the state of the art, acoustic methods such as the scanning acoustic microscope and surface wave optoacoustic spectroscopy lead to grain imaging but...
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Factory of the future incl. robotics and non destructive testing
High speed/High capacity distributed Fiber Bragg Grating sensing technique for Structural Health Monitoring (SHM) applications
Schedule-driven Non-Destructive Evaluations (NDE) are carried out during structure/equipment’ life to detect major degradations endangering safety and impairing service availability. In addition to NDE, Structural Health Monitoring (SHM) involves the use of in-situ Fiber Bragg Grating (FBG) sensing systems and algorithms to evaluate structure worthiness. FBGs are mostly used as strain/temperature sensors but are also...
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Factory of the future incl. robotics and non destructive testing
Smart & Scalable Orchestration to ensure system performance and reliability throughout Cloud Native ecosystems
The Cloud Computing paradigm has brought a new way of building application systems by strongly decoupling applications and the platforms on which they operate. This is particularly thanks to virtualization techniques (virtual machines, containers, and soon WASM) and the associated orchestration technologies (OpenStack, Kubernetes, and CloudWASM), which make it possible to port, deploy, and manage...
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Factory of the future incl. robotics and non destructive testing
Study and exploitation of Barkhausen noise spectral information for the characterization of steels
The use of magnetic Barkhausen noise (MBN) measurements for assessing the structural health of magnetic materials has become an important industrial technique the last years. The interest in the application of this technique stems from the strong dependence of the MBN signals on the material microstructure as well as its stress level and its chemical...
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Factory of the future incl. robotics and non destructive testing
Simulation of ultrasonic waves interaction phenomena with metal microstructure for imaging and characterisation purposes
The interaction of waves with matter is highly dependent on the frequency of these waves and the scale of their wavelengths in relation to the properties of the medium under consideration. In the context of ultrasound imaging applications, particularly concerning metals, the scales considered are generally on the order of a millimeter (ranging from a...
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Factory of the future incl. robotics and non destructive testing
Scheduling adapted to R&D cleanrooms
In the midst of digital transition, characterized by the rapid development of new technologies, this subject aims to participate in the automation of decision support processes in a dynamic and complex environment, and to reduce cycle times in an R&D environment, increasingly subject to an injunction of efficiency. In the current context marked by great...
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