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testing. - Microstructural characterization: Optical and electron microscopy, tomographic analysis. Where to apply E-mail vincent.placet@umlp.fr Requirements Research FieldEngineeringEducation LevelMaster
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electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam
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. The temperature field generated by the interaction between the arc and the material plays a critical role in determining the microstructure, residual stress, and distortion of the built parts—all of which
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to evaluate their performance. The second part of the work, conducted at ILM, will focus on the fabrication of specific microstructures in a cleanroom environment, as well as on the characterization
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experiments (He⁺, H⁺, and Fe²⁺) with advanced microstructural characterization (TEM, FIB, EBSD, APT) to elucidate the atomic-scale mechanisms governing interface stability and helium transport. The ultimate
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solid oxide fuel cells. The project will span length scales, from materials discovery, including with computational approaches, through mechanical properties and microstructure optimisation
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steps of an ISOL facility. This is normally worked out through carefully selecting the target material compound (e.g. oxide, carbide or metal form) and engineer a microstructure which contains an
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lead to out-of-specification fuel pellets. Furthermore, the fuel microstructure, density, porosity, and stoichiometry, which are vital parameters for in-pile performance and licensing, are critically
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‘healing’ the thermoplastic matrix. The challenge of reuse is that blade materials vary based on several factors including microstructure, macrostructure, and loading history. This project directly aligns
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. The project will then involve: - X-ray micro-tomography imaging and segmenting the resulting 3D images with AI-based tools already available in the team. - Characterizing the microstructure (binder distribution