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The dissertation is devoted to the study of the properties of diatomite of the Ilyinsky Deposit for the purpose use it in the production of heat-insulating mixtures (HIM). These mixtures are used to reduce heat losses from the metal surface during casting. The technology of production of a heat-insulating mixture on the basis of Ilyinsky diatomite is developed. Efficiency of its application is shown. / Исследование посвящено изучению свойств диатомита Ильинского месторождения с целью применения его в производстве теплоизолирующих смесей. Эти смеси применяют для снижение тепловых потерь с поверхности металла при его разливке. Разработана технология производства теплоизолирующей смеси на основе ильинского диатомита и показана эффективность его применения.

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Des films minces de pérovskites NdNiO3 et SmxCa1-xMnO3 ont été synthétisés par co-pulvérisation magnétron et leurs propriétés thermochromes ont été étudiées dans le domaine infrarouge. Dans un premier temps, l'étude du nickelate NdNiO3 a montré la possibilité de synthétiser la phase pérovskite en utilisant un recuit de cristallisation sous air à basse température (550°C). Nous avons mis en évidence une cristallisation compétitive entre la phase orthorhombique thermochrome et une phase rhomboédrique non thermochrome qui est largement influencée par les paramètres d'élaboration : pression de dépôt, épaisseur des couches, température de recuit... L'obtention de ces deux phases a permis d'étudier plus précisément les mécanismes d'oxydation et de réduction intervenant lors du dépôt et lors du traitement thermique respectivement. Parallèlement à cette étude, des couches minces de SmxCa1-xMnO3, ont été également synthétisées par co-pulvérisation. Après une optimisation des conditions expérimentales permettant d'obtenir des films stoechiométriques et des analyses structurales (MEB, DRX), les comportements électriques et optiques des films ont été suivis en fonction de la température (mesure 4 pointes et IRTF). Le composé Sm0,5Ca0,5MnO3 présente une température de transition proche de la température ambiante ainsi qu'un contraste optique dans le très proche et le moyen infrarouge. Les mesures de la transmittance optique dans le domaine visible-proche infrarouge ont permis d'évaluer la dépendance du gap optique avec la température. A 20°C, celui-ci est proche de 0,7 eV. Le manganite SmxCa1-xMnO3 est donc un bon candidat pour la régulation thermique et la furtivité infrarouge / NdNiO3 and SmxCa1-xMnO3 perovskites thin films were synthesized by magnetron co-sputtering process and the thermochromic properties have been studied in the infrared range. At first, the study of the NdNiO3 nickelate has established the timeliness to synthesise the perovskite phase using a subsequent annealing crystallisation in air at moderate temperature (550°C). We have demonstrated a competitive crystallisation between the thermochromic orthorhombic phase and a non-thermochromic rhombohedral phase largely influenced by experimental parameters: deposition pressure, layer thickness, annealing temperature... The presence of these two phases allowed to clarify more precisely the oxidation mechanisms involved during the deposition process and the reduction mechanisms occurring during the heat treatment. At the same time, the SmxCa1-xMnO3 system was synthesised also as thin films. The first step includes developing the experimental conditions to obtain stoichiometric films using two separate targets. After structural analyses (SEM, XRD), the electrical and optical behaviours of films were analysed using the four probe configuration and the FTIR spectroscopy versus temperature respectively. As result, the metal-insulator transition of the Sm0,5Ca0,5MnO3 compound is close to the room temperature and the film shows an interesting optical contrast in the near and mid-infrared ranges. The optical transmittance measurements in the visible-near infrared range were used to evaluate the optical gap dependence with temperature. At room temperature, the optical gap is close to 0.7 eV. Finally, SmxCa1-xMnO3 manganite is a good candidate for thermal regulation and infrared furtivity

Cette thèse de doctorat traite des méthodes d’évaluation de l’état des transformateurs de puissance à huile. Elle apporte une approche particulière de mise en oeuvre des méthodes de classification dans la fouille de données. Elle propose une stratégie qui met en oeuvre deux nouveaux indicateurs de santé de l’huile construit à partir d’un système neuro flou ANFIS (Adaptative Neuro-Fuzzy Inference System) et un classifieur ou prédicteur de défaut construit à partir des méthodes de classification supervisée, notamment le classifieur Bayésien naïf. Un organigramme simple et efficace d’évaluation de l’état des transformateurs y est proposé. Il permet de faire une analyse rapide des paramètres issus des analyses physico-chimiques de l’huile et de des gaz dissous. Une exploitation des méthodes de classification non supervisée, notamment les méthodes de k-moyennes et C-moyennes flous a permis de reconstruire les périodes de fonctionnement d’un transformateur marquées par des défauts particuliers. Il a aussi été démontré comment ces méthodes peuvent servir d’outil d’aide à l’organisation de la maintenance d’un groupe de transformateurs à partir des données d’analyses d’huile disponibles. / This PhD thesis deals the assessment method of the state of power transformers filled with oil. It brings a new approach by implementing classification methods and data mining dedicated to transformer maintenance. It proposes a strategy based on two new oil health indicators built from an adaptive Neuro-Fuzzy Inference System (ANFIS). Two classifiers were built on a labeled learning database. The Naive Bayes classifier was retained for the detection of fault from gases dissolved in oil. A simple and efficient flowchart for evaluating the condition of transformers is proposed. It allows a quick analysis of the parameters resulting from physicochemical analyzes of oil and dissolved gases. Using unsupervised classification techniques through the methods of kmeans and fuzzy C-means allowed to reconstruct operating periods of a transformer, with some particular faults. It has also been demonstrated how these methods can be used as tool to help the maintenance of a group of transformers from available oil analysis data.

Ausgehend von einem thermodynamisch konsistenten Modell von Dreyer und Duderstadt für Tropfenbildung in Galliumarsenid-Kristallen, das Oberflächenspannung und Spannungen im Kristall berücksichtigt, stellen wir zwei mathematische Modelle zur Evolution der Größe flüssiger Tropfen in Kristallen auf. Das erste Modell behandelt das Regime diffusionskontrollierter Interface-Bewegung, während das zweite Modell das Regime Interface-kontrollierter Bewegung des Interface behandelt. Unsere Modellierung berücksichtigt die Erhaltung von Masse und Substanz. Diese Modelle verallgemeinern das wohlbekannte Mullins-Sekerka-Modell für die Ostwald-Reifung. Wir konzentrieren uns auf arsenreiche kugelförmige Tropfen in einem Galliumarsenid-Kristall. Tropfen können mit der Zeit schrumpfen bzw. wachsen, die Tropfenmittelpunkte sind jedoch fixiert. Die Flüssigkeit wird als homogen im Raum angenommen. Aufgrund verschiedener Skalen für typische Distanzen zwischen Tropfen und typischen Radien der flüssigen Tropfen können wir formal so genannte Mean-Field-Modelle herleiten. Für ein Modell im diffusionskontrollierten Regime beweisen wir den Grenzübergang mit Homogenisierungstechniken unter plausiblen Annahmen. Diese Mean-Field-Modelle verallgemeinern das Lifshitz-Slyozov-Wagner-Modell, welches rigoros aus dem Mullins-Sekerka-Modell hergeleitet werden kann, siehe Niethammer et al., und gut verstanden ist. Mean-Field-Modelle beschreiben die wichtigsten Eigenschaften unseres Systems und sind gut für Numerik und für weitere Analysis geeignet. Wir bestimmen mögliche Gleichgewichte und diskutieren deren Stabilität. Numerische Resultate legen nahe, wann welches der beiden Regimes gut zur experimentellen Situation passen könnte. / Based on a thermodynamically consistent model for precipitation in gallium arsenide crystals including surface tension and bulk stresses by Dreyer and Duderstadt, we propose two different mathematical models to describe the size evolution of liquid droplets in a crystalline solid. The first model treats the diffusion-controlled regime of interface motion, while the second model is concerned with the interface-controlled regime of interface motion. Our models take care of conservation of mass and substance. These models generalise the well-known Mullins-Sekerka model for Ostwald ripening. We concentrate on arsenic-rich liquid spherical droplets in a gallium arsenide crystal. Droplets can shrink or grow with time but the centres of droplets remain fixed. The liquid is assumed to be homogeneous in space. Due to different scales for typical distances between droplets and typical radii of liquid droplets we can derive formally so-called mean field models. For a model in the diffusion-controlled regime we prove this limit by homogenisation techniques under plausible assumptions. These mean field models generalise the Lifshitz-Slyozov-Wagner model, which can be derived from the Mullins-Sekerka model rigorously, see Niethammer et al., and is well-understood. Mean field models capture the main properties of our system and are well adapted for numerics and further analysis. We determine possible equilibria and discuss their stability. Numerical evidence suggests in which case which one of the two regimes might be appropriate to the experimental situation.

O objetivo desse trabalho foi de fazer a modelagem por meio de sistemas de inferência fuzzy da concentração dos gases dissolvidos em óleo mineral isolante à partir dos resultados de ensaios físico-químicos. Dessa forma, objetivou-se estender as técnicas de identificação de falhas em transformadores por meio da análise dos ensaios físico-químicos do óleo isolante. Para tanto adotou-se um mapeamento entre os dados de ensaios físico-químicos e de cromatografia gasosa feito por meio de sistemas de inferência fuzzy. Assim, por meio de resultados de ensaios físico-químicos, como cor, densidade, unidade, entre outro, tem-se uma estimativa da concentração dos gases dissolvidos no óleo mineral isolante do transformador. Assim, torna-se possível empregar técnicas de identificação de falhas baseadas na concentração dos gases dissolvidos, mas, valendo-se dos dados de ensaios físico-químicos.O sistema proposto foi validado por meio de dados reais e os resultados alcançados são compatíveis com aqueles obtidos por meio das técnicas convencionais. / The objective of this work was to do a modeling using the inference fuzzy system of the concentration of dissolved gases in insulating mineral oil getting from the physical-chemical results. The idea was to understand the techniques to identify failures on transformers by analyzing the physical-chemical results of the insulating mineral oil.To do that, the data from physical-chemical results and chromatographic results was mapped using the inference fuzzy system. So, by the results of the physical-chemical experiment such as color, density, humidity and so on, its possible to have a estimation of the concentration of dissolved gases in insulating mineral oil. Therefore, its possible to implement techniques to identify failures based on the concentration of dissolved gases using physical-chemical techniques.The propose system was validated by real data. The results using physical-chemical techniques were similar with the results using conventional techniques.

Les travaux présentés dans ce manuscrit portent sur la conception, simulation et réalisation des nouvelles structures des commutateurs hyperfréquences basées sur l’intégration des couches minces des matériaux innovants fonctionnels tels que les matériaux à changement de phase (PCM) et les matériaux à transition de phase (PTM). Le principe de fonctionnement de ces composants repose sur le changement de résistivité présenter par ces matériaux. Nous avons exploité le changement de résistivité réversible du GeTe de la famille des matériaux à changement de phase (PCM) entre les deux états : amorphe à forte résistivité et cristallin à faible résistivité, pour réaliser une nouvelle structure d’un simple commutateur SPST. Ensuite, nous avons intégré ce commutateur dans une nouvelle structure de la matrice de commutation DPDT (Double Port Double Throw) à base de PCM pour l’application dans la charge utile du satellite. Nous avons utilisé la transition isolant-métal présenté par le dioxyde de vanadium (VO2) de la famille des matériaux à transition de phase, pour réaliser une nouvelle structure de commutateur simple à deux terminaux sur une très large bande de fréquence (100 MHz–220 GHz). / The work presented in this manuscript focuses on the design, simulation and realization of new microwave switches structures based on the integration of thin layers of innovative functional materials such as phase change materials (PCM) and phase transition materials. (PTM). The operating principle of these components is based on the change of resistivity present by these materials. We exploited the reversible resistivity change of GeTe of phase change materials family between the two states: amorphous with high resistivity and crystalline with low resistivity to realize a new structure of SPST switch. Then, we have integrated this switch structure on a new structure of DPDT (Double Port Double Throw) switch matrix based on phase change materials for application in satellite payload. We have used the insulatingmetal transition presented by the vanadium dioxide (VO2) of phase transition materials family to realize a new two terminals simple switch structure on a very wide frequency band (100 MHz–220 GHz).

O objetivo desse trabalho foi de fazer a modelagem por meio de sistemas de inferência fuzzy da concentração dos gases dissolvidos em óleo mineral isolante à partir dos resultados de ensaios físico-químicos. Dessa forma, objetivou-se estender as técnicas de identificação de falhas em transformadores por meio da análise dos ensaios físico-químicos do óleo isolante. Para tanto adotou-se um mapeamento entre os dados de ensaios físico-químicos e de cromatografia gasosa feito por meio de sistemas de inferência fuzzy. Assim, por meio de resultados de ensaios físico-químicos, como cor, densidade, unidade, entre outro, tem-se uma estimativa da concentração dos gases dissolvidos no óleo mineral isolante do transformador. Assim, torna-se possível empregar técnicas de identificação de falhas baseadas na concentração dos gases dissolvidos, mas, valendo-se dos dados de ensaios físico-químicos.O sistema proposto foi validado por meio de dados reais e os resultados alcançados são compatíveis com aqueles obtidos por meio das técnicas convencionais. / The objective of this work was to do a modeling using the inference fuzzy system of the concentration of dissolved gases in insulating mineral oil getting from the physical-chemical results. The idea was to understand the techniques to identify failures on transformers by analyzing the physical-chemical results of the insulating mineral oil.To do that, the data from physical-chemical results and chromatographic results was mapped using the inference fuzzy system. So, by the results of the physical-chemical experiment such as color, density, humidity and so on, its possible to have a estimation of the concentration of dissolved gases in insulating mineral oil. Therefore, its possible to implement techniques to identify failures based on the concentration of dissolved gases using physical-chemical techniques.The propose system was validated by real data. The results using physical-chemical techniques were similar with the results using conventional techniques.

I have worked on many projects, but there are several things that they all had in common. First, nearly all projects involved searching for the structural parameters that governed the macroscopic properties of the polymers and composite materials. A second common denominator is that even though my work was performed in an “academic context”, the goals were targeted toward industrial needs. Lastly, the methods and procedures were similar; they were all based on experimental results obtained for various scales of measurement (see Fig. 1). Hence, multi-scale modeling was very useful and beneficial for these projects. The models developed (mainly numerical and sometimes analytical) were initially derived from experimental evidence and then validated and improved with further experimentation. The refined models provided an efficient means of: (i) optimizing the composites according to specific needs, (ii) better understanding the hierarchical relations between the different scales, (iii) controlling the micro or meso structure and thereby the macroscopic properties. This study of the relations between structure and properties was performed on a wide variety of physical properties and materials. However, the electric and dielectric properties of composites constituted the major- ity of it and will be presented in this report. The remaining property investigations provided supplemental but valuable information. This work often requires altering various conventional experimental techniques or using well-known techniques for new purposes. I also developed, when needed, several unconventional but necessary measurement techniques. This report contains two major parts which are separated according to the nature of the fillers: Part I : Conducting fillers. In the first part, the main interest both for application and fundamental point of view, is related to the changes in properties in the vicinity of the sharp percolation transition. After a brief introduction to the percolation theory, this part will be subdivided in three chapters: Chapter 1. presents a numerical method that correlates the mesostructure to the macroscopic electrical properties both in two and three dimensions. Chapter 2. will show that an external variable (the mechanical stress) may largely alter the microstruc- ture of the percolating network within composites as revealed the macroscopic conductivity. The understanding of the mesoscale changes will be based on the chemical structure of the polymer matrix. Chapter 3. is devoted to the description of a unique case in term of percolation behavior, which made possible the control of the phase arrangement within the composite and thereby the control of the macroscopic resistivity. p. 2 Multiscale relationships in polymer–based heterogeneous systems. . . Part II : Insulating fillers. In the second part, the main interest is to obtain good electrical insulators, i.e. that can withstand large electric fields. This part thus starts with a brief introduction to the common failure mechanisms, associated with the dielectric breakdown and is also divided in three chapters: Chapter 4. is devoted to the description of a numerical simulation of the relationships between mesostructure and dielectric breakdown. Chapter 5. reveals the influence of the processing conditions of a composite utilized in the industry on the microstructure and the quantitative consequences on breakdown properties. Chapter 6. presents the aging of these composites under “real word” conditions which will further be compared to accelerated aging performed in controlled conditions, in the laboratory. A comparison of the two aging situations will furnish a quantitative understanding of the relative influence of the chemical and physical contributions to the aging process. This report will then be concluded with a description of the current and future projects.