The interplay of nuclear fuel with fission products is key for safe and efficient nuclear power operation. The diffusion of volatile fission products in very heavy reactor fuel matrices was investigated by analysing Zirconium Dioxide and Uranium Nitride, implanted with different ions. The samples were implanted using the 350kV Ion Implanter available at Uppsala University. Zirconium Dioxide was implanted with Xenon, Krypton and Iron, and Uranium Nitride was implanted with Krypton and Zirconium. The samples were then analysed using Time of Flight Elastic Recoil Detection Analysis (ToF-ERDA), Rutherford Backscattering Spectrometry (RBS), Scanning Electron Microscopy (SEM), and X-Ray Diffraction (XRD). After the implantation and analysis, the samples were annealed at different times and temperatures. The annealing times were predicted by solving Fick’s second law with numerical methods and using Stopping and Range of Ions in Matter (SRIM) as an initial guess. The results show that annealing times can be predicted by solving Fick’s second law, to first order, and that ion implantation effects the stoichiometry of the samples. Future improvements could include improvement of underlying physics in the annealing predictions, and more extensive measurements performed on a wider range of samples.

Au-dessus d'un taux de combustion seuil ≥ 7 at %, les produits de fission volatils Cs, I, et Te ou métalliques (Mo) sont partiellement relâchés hors du combustible et finissent par constituer une couche de composés de PF qui remplit progressivement le jeu existant entre la périphérie de la pastille et la surface interne de la gaine en acier inoxydable. Nous appelons cette couche JOG pour Joint Oxyde-Gaine. Mon sujet de thèse est axé sur l'étude thermodynamique du système (Cs, I, Te, Mo, O) + (U, Pu) ainsi que sur l'étude de la diffusion de ces produits de fission à travers le combustible vers le jeu combustible-gaine pour former le JOG.L'étude thermodynamique constitue la première étape de mon travail. Sur la base d'une analyse critique des données expérimentales issues de la littérature, les systèmes Cs-Te, Cs-I, Cs-Mo-O ont été modélisés par la méthode CALPHAD. En parallèle, une étude expérimentale a été entreprise pour valider la modélisation CALPHAD du système binaire Cs-Te. Dans une deuxième étape, les données thermodynamiques résultant de la modélisation CALPHAD ont été introduites dans la base de données du code de calcul thermodynamique ANGE (code interne au CEA dérivé du logiciel SOLGASMIX) dont la finalité est le calcul de la composition chimique du combustible irradié. Dans une troisième étape, le code de calcul thermodynamique ANGE (Advanced Numeric Gibbs Energy minimiser) a été couplé avec le code de simulation du comportement thermomécanique du combustible des RNR-Na GERMINAL V2. / For a burn-up higher than 7 at%, the volatile FP like Cs, I and Te or metallic (Mo) are partially released from the fuel pellet in order to form a layer of compounds between the outer surface of the fuel and the inner surface of the stainless cladding. This layer is called the JOG, french acronym for Joint-Oxyde-Gaine.My subject is focused on two topics: the thermodynamic study of the (Cs-I-Te-Mo-O) system and the migration of those FP towards the gap to form the JOG.The thermodynamic study was the first step of my work. On the basis of critical literature survey, the following systems have been optimized by the CALPHAD method: Cs-Te, Cs-I and Cs-Mo-O. In parallel, an experimental study is undertaken in order to validate our CALPHAD modelling of the Cs-Te system. In a second step, the thermodynamic data coming from the CALPHAD modelling have been introduced into the database that we use with the thermochemical computation code ANGE (CEA code derived from the SOLGASMIX software) in order to calculate the chemical composition of the irradiated fuel versus burn-up and temperature. In a third and last step, the thermochemical computation code ANGE (Advanced Numeric Gibbs Energy minimizer) has been coupled with the fuel performance code GERMINAL V2, which simulates the thermo-mechanical behavior of SFR fuel.