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Emerging energy storage applications are driving the demand for Li-ion battery positive electrode materials with higher energy densities and lower costs. The recent production of complete pseudo-ternary phase diagrams of the Li-Mn-Ni-O system generated using combinatorial methods has provided a greater understanding of the impact of initial composition, synthesis temperature, and cooling rate on the phases that form in the final materials. This thesis focuses on the synthesis and characterization of gram-scale positive electrode materials in the Li-Mn-Ni-O system. Structural analysis of these samples has resulted in the production of partial pseudo-ternary phase diagrams focusing on the positive electrode materials region of the Li-Mn-Ni-O system at 800°C and 900°C in air for both quenched and slow cooled compositions. These bulk-scale diagrams support the observations of the combinatorial diagrams, and show similar layered and cubic structures contained within several single- and multi-phase regions. The phases that form at each composition are shown to be dependent on both the reaction temperature and cooling rate used during synthesis. The electrochemical characterization of two composition series near Li2MnO3, one quenched and one slow cooled, is presented. The quenched compositions exhibited reversible cycling at 4.4 V, voltage plateaus and small increases in capacity above 4.6 V, and large first cycle irreversible capacity losses at 4.8 V. In the slow cooled series, all but one composition exhibited initial capacities below 100 mAh/g which began to continually increase with cycling, with several compositions exhibiting capacity increases of 300% over 150 cycles at 4.9 V. In both series, analysis of the voltage and differential capacity plots indicated that significant structure rearrangements are taking place in these materials during extended cycling, the possible origins of which are discussed. Finally, high precision coulometry studies of one Li-deficient and two Li-rich single-phase layered compositions are discussed. These materials exhibit minimal oxidation of simple carbonate-based electrolyte when cycled to high potential, with the Li-deficient composition producing less electrolyte oxidation at 4.6 V vs. Li/Li+ than commercial Li[Ni1/3Mn1/3Co1/3]O2 at 4.2 V. The inherent inertness of this composition may make it suitable for use as a thin protective layer in a core-shell particle.

The main contribution of this thesis is the implementation of manufacturing constraints in shape and topology optimization. Fabrication limitations related to the casting process are formulated as mathematical constraints and introduced in the optimization algorithm. In addition, based on the same theoretical and modelization tools, we propose a novel formulation for multi-phase optimization problems, which can be extended to the optimization of structures with functionally-graded properties. A key ingredient for the mathematical formulation of most problems throughout our work is the notion of the signed distance function to a domain. This work is divided into three parts. The rst part is bibliographical and contains the necessary background material for the understanding of the thesis' main core. It includes the rst two chapters. Chapter 1 provides a synopsis of shape and topology optimization methods and emphasizes the combination of shape sensitivity analysis and the level-set method for tracking a shape's boundary. In Chapter 2 we give a short description of the casting process, from which all our manufacturing constraints derive. We explain how industrial designers account for these limitations and propose a strategy to incorporate them in shape and topology optimization algorithms. The second part is about the mathematical formulation of manufacturing constraints. It starts with Chapter 3, where the control of thickness is discussed. Based on the signed distance function, we formulate three constraints to ensure a maximum and minimm feature size, as well as a minimal distance between structural members. Then, in Chapter 4, we propose ways to handle molding direction constraints and combine them with thickness constraints. Finally, a thermal constraint coming from the solidi cation of cast parts is treated in Chapter 5 using several thermal models. Multi-phase optimization is discussed in the third part. The general problem of shape and topology optimization using multiple phases is presented in detail in Chapter 6. A "smoothed-interface" approach, based again on the signed distance function, is proposed to avoid numerical di culties related to classical "sharp-interface" problems and a shape derivative is calculated. An extension of this novel formulation to general types of material properties' gradation is shown in the Appendix A.

Dans l’industrie aérospatiale, l’utilisation des matériaux hybrides CFRP/Ti montre une tendance à la hausse en raison de leurs propriétés mécaniques/physiques améliorées ainsi que des fonctions structurelles plus flexibles. En dépit de leurs nombreuses applications, l’usinage CFRP/Ti en perçage en une seule passe reste le principal défi scientifique et technologique de l’assemblage multi-matériaux. Par rapport au coût de production élevé et le temps des recherches basées sur des approches exclusivement expérimentales de l’usinage multi-matériaux, cette étude a pour objectif d’amener une meilleure compréhension de la coupe CFRP/Ti à travers une approche physique hybride qui fait dialoguer les méthodes numériques et expérimentales. Un modèle EF utilisant le concept de zone cohésive a été développé pour étudier l’usinabilité anisotrope de pièces structurales CFRP/Ti à des fins d’assemblage. L’approche numérique explicite, par des études préliminaires, les mécanismes de coupe clés qui contrôlent l’usinage CFRP/Ti. Par la suite, l’approche expérimentale a été conduite sous différentes conditions d’usinage en configuration de coupe orthogonale et de perçage. Une attention spéciale a été consacrée aux effets des stratégies des séquences de coupe CFRP/Ti sur la formation des endommagements d’interface induits. Ces études expérimentales et numériques ont permit (i) d’expliciter les mécanismes physiques activés qui contrôlent la coupe à l’interface ainsi que les endommagements induits par celle-ci, (ii) de préciser les effets des différentes stratégies d’assemblage multi-matériaux sur l’usinage CFRP/Ti, (iii) de définir la classification d’usinabilité CFRP/Ti, et (iv) d’analyser enfin les effets paramétriques géométrie/matériau d’outil régissant l’opération d’usinage CFRP/Ti. / In modern aerospace industry, the use of hybrid CFRP/Ti stacks has experienced an increasing trend because of their enhanced mechanical/physical properties and flexible structural functions. In spite of their widespread applications, machining hybrid CFRP/Ti stacks in one-shot time still consists of the main scientific and technological challenge in the multi-material fastening. Compared to the high cost of pure experimental investigations on the multi-material machining, this study aims to provide an improved CFRP/Ti cutting comprehension via both numerical and experimental methodologies. To this aim, an FE model by using the cohesive zone concept was established to construct the anisotropic machinability of the bi-material structure. The numerical work aims to provide preliminary inspections of the key cutting mechanisms dominating the hybrid CFRP/Ti stack machining. Afterward, some systematic experimental work including orthogonal cutting and hole drilling was carefully performed versus different input cutting conditions. A special focus was made on the study of the effects of different cutting-sequence strategies on CFRP/Ti cutting output and induced interface damage formation. The combined numerical-experimental studies provide the key findings aiming to (i) reveal the activated mechanisms controlling interface cutting and subsequent interface damage formation, (ii) clarify the influences of different cutting-sequence strategies on hybrid CFRP/Ti stack machining, (iii) outline the machinability classification of hybrid CFRP/Ti stacks, and (iv) analyze finally the parametric effects of the material/tool geometry on cutting CFRP/Ti stacks.

Multiphase transport phenomena primarily encompass the fundamental principles and applications concerning the systems where overall dynamics are precept by phase change evolution. On the other hand, multiscale transport phenomena essentially corroborate to a domain where the transport characteristics often contain components at disparate scales. Relevant examples as appropriate to multiphase and multiscale thermofluidic transport phenomena comprise solid-liquid phase change during conventional solidification process and hydrodynamics through narrow confinements. The additional effect of superimposed magnetic field over such multiphase and multiscale systems may give rise to intriguing transport characteristics, significantly unique in nature as compared to flows without it. The present investigation focuses on multiphase, multi-scale transport phenomena in physical systems subjected to the superimposed magnetic field, considering four important and inter-linked aspects. To begin with, for a multiphase system concerning binary alloy solidification, a normal mode linear stability analysis has been carried out to investigate stationary and oscillatory convective stability in the mushy layer in the presence of external magnetic field. The stability results indicate that the critical Rayleigh number for stationary convection shows a linear relationship with increasing Ham (mush Hartmann number). Magnetohydrodynamic effect imparts a stabilizing influence during stationary convection. In comparison to that of stationary convective mode, the oscillatory mode appears to be critically susceptible at higher values of  (a function of the Stefan number and concentration ratio), and vice versa for lower  values. Analogous to the behaviour for stationary convection, the magnetic field also offers a stabilizing effect in oscillatory convection and thus influences global stability of the mushy layer. Increasing magnetic strength shows reduction in the wavenumber and in the number of rolls formed in the mushy layer. In multiscale paradigm, the combined electroosmotic and pressure-driven transport through narrow confinements have been firstly analyzed with an effect of spatially varying non–uniform magnetic field. It has been found that a confluence of the steric interactions with the degree of wall charging (zeta potential) may result in heat transfer enhancement, and overall reduction in entropy generation of the system under appropriate conditions. In particular, it is revealed that a judicious selection of spatially varying magnetic field strength may lead to an augmentation in the heat transfer rate. It is also inferred that incorporating non–uniformity in distribution of the applied magnetic field translates the system to be dominated by the heat transfer irreversibility. Proceeding further, a semi-analytical investigation has been carried out considering implications of magnetohydrodynamic forces and interfacial slip on the heat transfer characteristics of streaming potential mediated flow in narrow fluidic confinements. An augmentation in the streaming potential field as attributable to the wall slip activated enhanced electromagnetohydrodynamic transport of the ionic species within the EDL has been found. Furthermore, the implications of Stern layer conductivity and magnetohydrodynamic influence on system irreversibility have been shown through analysis of entropy generation due to fluid friction and heat transfer. The results being obtained in this analysis have significant scientific and technological consequences in the context of novel design of future generation energy efficient devices, and can be useful in the further advancement of theory, simulation, and experimental work. Finally, the combined consequences of interfacial electrokinetics, rheology, and superimposed magnetic field subjected to a non-Newtonian (power-law obeying) fluid in a narrow confinement are studied in this work. The theoretical results demonstrate that the applied magnetic field imparts a retarding influence in the induced streaming potential development, whereas, triggers the heat transfer magnitude. Moreover, additional influences of power law index show reduction in heat transfer as well as the streaming potential magnitude. It is unveiled that the optimal combinations of power law index and the magnetic field lead to the minimization of the global total entropy generation in the system.

The need for efficiency, reliability and continuous operation has lead over the years to the development of fault-tolerant electrical drives for various industrial purposes and for transport applications. Permanent-magnet synchronous machines have also been gaining interest due to their high torque-to-mass ratio and high efficiency, which make them a very good candidate to reduce the weight and volume of the equipment.<p><p>In this work, a multidisciplinary approach for the design of fault-tolerant permanent-magnet synchronous machine drives is presented. <p><p>The drive components are described, including the electrical machine, the IGBT-based two-level inverter, the capacitors, the sensors, the controller, the electrical source and interfaces. A literature review of the failure mechanisms and of the reliability model of most of these components is performed. This allows understanding how to take benefit of the redundancy generally introduced in fault-tolerant systems.<p><p>A necessary step towards fault tolerance is the modelling of the electrical drive, both in healthy and faulty operations. A general model of multi-phase machines (with a number of phases equal to or larger than three) and associated converters is proposed. Next, control algorithms for multi-phase machines are derived. The impact of a closed-loop controller upon the occurrence of faults is also examined through simulation analysis and verified by experimental results.<p><p>Condition monitoring of electrical machines has expanded these last decades. New techniques relying on various measurements have emerged, which allow a better planning of maintenance operations and an optimization of the uptime of electrical machines. Regarding drives, a number of sensors are inherently present for control and basic protection functions. The utilization of these sensors for advanced condition monitoring is thus particularly interesting since they are available at no cost. <p><p>A novel fault detection and isolation scheme based on the available measurements (phase currents, DC-link voltage and mechanical position) is developed and validated experimentally. Change-detection algorithms are used for this purpose. Special attention is paid to sensor faults as well, what avoids diagnosis errors.<p><p>Fault-tolerant control can be implemented with passive and active approaches. The former consists in deriving a control scheme that gives acceptable performance for all operating conditions, including faulty conditions. The latter consists in applying dedicated solutions upon the occurrence of faults, i.e. by reconfiguring the control. Both approaches are investigated and implemented. <p><p>Finally, design considerations are discussed throughout the thesis. The advantages and drawbacks of various topologies are analyzed, which eventually leads to the design of a five-phase fault-tolerant permanent-magnet synchronous machine. / Doctorat en Sciences de l'ingénieur / info:eu-repo/semantics/nonPublished

L’objectif général de cette thèse était d’améliorer l’utilisation des éléments de diagnostic des sites pollués par des hydrocarbures légers. En particulier, il s’agissait : • De valider la méthode d’estimation de la mobilité de l’huile dans le sol, en milieu hétérogène, appelée bail-down test. Et de définir quelle méthode d’interprétation est la plus adaptée. • Comprendre l’impact des variations de hauteur de nappe sur l’épaisseur d’huile mesurée dans les puits de surveillance et sur la mobilité de l’huile. Dans un premier temps, des simulations de bail-down tests ont été réalisées en laboratoire, sur un pilote radial, remplie d’une matrice homogène. Puis, un grand nombre de tests réalisés sur un terrain d’étude, a été interprété. Ces travaux ont permis de confirmer la validité des bail-down tests pour estimer la mobilité de l’huile dans le milieu. L’hypothèse principale pour expliquer la validité de ces tests, alors que les hypothèses théoriques ne sont à priori pas respectées lors des essais, réside dans la faible mobilité de l’huile liée à une viscosité élevée. Dans un deuxième temps, l’impact des variations de nappes a été suivi par des mesures manuelles et automatiques sur le terrain d’étude, pendant plusieurs mois. Ce suivi a permis de décrire de manière précise cet impact, qui est différent pour un hydrocarbure en nappe libre, ou en milieu confiné. Par ailleurs, un modèle a été développé et testé pour simuler les variations d’épaisseur d’huile en fonction des hauteurs de nappe. Ce modèle permet d’estimer l’épaisseur et la position de l’huile dans la formation, ainsi que sa conductivité hydraulique. Les conclusions de cette étude apportent des éléments importants pour améliorer les phases d’investigation de site pollués par des hydrocarbures légers, et pour optimiser l’utilisation des données collectées. Enfin, confirmant l’impact significatif des variations de nappe sur les épaisseurs d’huile dans les puits et en montrant la validité des bail-down tests pour estimer la mobilité de l’huile, cette étude montre la nécessité de baser le dimensionnement des réseaux d’extraction des hydrocarbures, non pas sur l’épaisseur, mais sur la mobilité du produit. / The overall objective of this thesis was to improve the use of investigation data from contaminated site with light hydrocarbons. In particular, this work focused on: • To confirm the validity of the method to estimate the oil mobility in the formation, for heterogeneous conditions, called bail-down test. And, to define which interpretation method is the most relevant. • To understand the impact of the groundwater table variations on the oil thickness in the monitoring wells, and on its mobility. First, bail-down test simulations were performed at laboratory scale, on a radial pilot, filled with homogeneous sand. Then, a significant number of tests were performed on a studied site and interpreted. This work allowed to confirm the bail-down test validity for estimating the oil mobility in the formation. The key assumption to explain why these tests are valid whereas some of the assumptions and boundary conditions are not met during the tests, is based on the low mobility of the oil due to its viscosity. Secondly, the impact of the groundwater table variations has been manually and automatically measured on the studied site, during months. These measurements allowed to describe in detail the impact, which is different between confined and non-confined oil conditions. In addition, a model has been proposed and tested to simulate oil thickness depending on groundwater table level. This model allowed to estimate the thickness and the position of the oil in the formation, and its hydraulic conductivity. Overall, this study gives key elements to improve the investigation phase of site contaminated with light hydrocarbons, and to optimize the use of the collected data. Last, confirming the significant impact of the groundwater table fluctuation on the oil thickness and the validation of the bail-down test to estimate the oil mobility, this study shows the need to consider the oil mobility rather than the oil thickness for designing an oil recovery project.

Dizertační práce se zabývá modelováním a řízením elektrických pohonů během poruchových stavů. Práce se obzvláště zaměřuje na více-fázové motory. První část práce se zabývá matematickými rovnicemi obecného více-fázového motoru a následným odvozením n-krát troj-fázového zapojení motoru. Modely v dq souřadnicovém systému a modely ve statorových souřadnicích jsou navrženy pro simulaci chování motoru během poruchových stavů. Další část práce se zabývá analýzou poruch ve více-fázových motorech s využitím matematických modelů. Různé vnitřní struktury vinutí motoru jsou analyzovány z pohledu možného řízení během poruchového stavu. Taktéž je prezentováno chování těchto různých struktur motoru během poruchových stavů. Předmětem analýzy jsou elektrické poruchy vinutí motoru a elektrické poruchy výkonové elektroniky. Poslední část práce se zabývá testováním navrženého řídícího algoritmu a navržených kompenzačních strategií pro poruchy na reálných motorech. Pro testování byl použit segregovaný dvakrát troj-fázový motor a experimentální motor s odbočkami pro emulaci poruch vinutí. Provedené testy prokázaly, že vhodně navrhnutý motor v kombinaci se správným řídícím algoritmem a výkonovou elektronikou dokáže zaručit kontinuální běh pohonu i během poruchy.

Over the past decades, attention has been brought to the importance of indoor air quality and the serious threat of bio-aerosol contamination towards human health. A novel idea to transport hazardous particles away from sensitive areas is to automatically control bio-aerosol concentrations, by utilising airflows from ventilation systems. Regarding this, computational fluid dynamics (CFD) may be employed to investigate the dynamical behaviour of airborne particles, and data-driven methods may be used to estimate and control the complex flow simulations. This thesis presents a methodology for machine-learning based control of particle concentrations in turbulent gas-solid flow. The aim is to reduce concentration levels at a 90 degree corner, through systematic manipulation of underlying two-phase flow dynamics, where an energy constrained inlet airflow rate is used as control variable. A CFD experiment of turbulent gas-solid flow in a two-dimensional corner geometry is simulated using the SST k-omega turbulence model for the gas phase, and drag force based discrete random walk for the solid phase. Validation of the two-phase methodology is performed against a backwards facing step experiment, with a 12.2% error correspondence in maximum negative particle velocity downstream the step. Based on simulation data from the CFD experiment, a linear auto-regressive with exogenous inputs (ARX) model and a non-linear ARX based neural network (NN) is used to identify the temporal relationship between inlet flow rate and corner particle concentration. The results suggest that NN is the preferred approach for output predictions of the two-phase system, with roughly four times higher simulation accuracy compared to ARX. The identified NN model is used in a model predictive control (MPC) framework with linearisation in each time step. It is found that the output concentration can be minimised together with the input energy consumption, by means of tracking specified target trajectories. Control signals from NN-MPC also show good performance in controlling the full CFD model, with improved particle removal capabilities, compared to randomly generated signals. In terms of maximal reduction of particle concentration, the NN-MPC scheme is however outperformed by a manually constructed sine signal. In conclusion, CFD based NN-MPC is a feasible methodology for efficient reduction of particle concentrations in a corner area; particularly, a novel application for removal of indoor bio-aerosols is presented. More generally, the results show that NN-MPC may be a promising approach to turbulent multi-phase flow control.

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