Le couplage multiphysique devient important dans les domaines de l’ingénierie nucléaire et de l’informatique. La capacité d’obtenir des solutions précises pour des modèles réalistes est essentielle à la conception et l’autorisation des conceptions nouvelles de réacteurs nucléaires, surtout dans des situations d’accidents graves. Les modèles physiques qui décrivent le comportement des réacteurs nucléaires dans des conditions accidentelles sont : le transport des neutrons, la conduction/convection thermique, la thermomécanique du combustible et des structures de support, la stœchiométrie du combustible, et d’autres encore. Cependant cette thèse se concentre sur le couplage entre deux modèles, le transport des neutrons et la conduction/convection thermique.Le but de cette thèse est de développer un solveur multiphysique pour la simulation des accidents de réacteurs nucléaires. Le travail s’est focalisé à la fois sur l’environnement de simulation et sur le traitement des données pour de telles simulations.Ces travaux discutent le développement d’un solveur multiphysique basé sur la méthode Newton-Krylov sans la jacobienne (JFNK). Ce solveur inclut des solveurs linéaires et non-linéaires, accompagné des interfaces par le calcul des résidus aux codes existantes pour le transport des neutrons et la thermo hydraulique (APOLLO3 et MCTH respectivement). Une nouvelle formulation pour le résidu du transport de neutrons est explorée, qui réduit la taille de la solution et l’espace de recherche par un facteur important ; le résidu, au lieu d’être basé sur le flux angulaire, est basé sur la source de fission.La question de savoir si l’utilisation d’un flux fondamental pour l’homogénéisation des sections efficaces est suffisamment précise pendant les simulations transitoires rapides est aussi explorée. Il est montré que, dans le cas d’un milieu infini et homogène, l’utilisation des sections efficaces fabriquées avec un flux fondamental est significativement différente d’une solution de référence. Cette erreur est diminuée en utilisant un flux de pondération alternatif qui vient d’un calcul à dépendance temporelle ; soit avec un flux intégré en temps soit avec une solution asymptotique. Le flux intégré en temps vient d’une solution multiphysique sur un sous-domaine de l’accident et intégrée en temps. L’intégration en temps peut être réalisée sur plusieurs « morceaux » qui ont le même comportement temporel. La solution asymptotique vient d’un calcul de valeur propre alpha et emploie un ou plusieurs modes alpha comme flux de pondération. Entre les deux méthodes, la méthode avec un flux intégré en temps est plus précise, mais prend plus de temps.Le domaine d’application de ces nouvelles méthodes est étendu en étudiant les effets d’hétérogénéités spatiales et la discrétisation des macro-intervalles en temps. Premièrement, un cas avec des hétérogénéités spatiales et une perturbation locale est utilisé pour montrer que ces méthodes peuvent être utilisées pour l’homogénéisation au niveau des assemblages. Ces nouvelles méthodes fonctionnent mieux que la méthode traditionnelle avec un flux fondamental. Deuxièmement, une estimation a priori pour une discrétisation optimale est obtenue pour la méthode avec le flux intégré en temps. Il est montré que d’autres divisions du domaine en temps réduisent l’erreur sur plusieurs métriques jusqu’au moment où les erreurs numériques deviennent dominantes.Pour montrer que ces méthodes fonctionnent bien pour des calculs de grande taille, un calcul sur un cœur REB réduit est effectué. Cette simulation est basée sur un accident de chute de grappe dans un REB au démarrage. / Multiphysics coupling is becoming of large interest in the nuclear engineering and computational science fields. The ability to obtain accurate solutions to realistic models is important to the design and licensing of novel reactor designs, especially in design basis accident situations. The physical models involved in calculating accident behavior in nuclear reactors includes: neutron transport, thermal conduction/convection, thermo-mechanics in fuel and support structure, fuel stoichiometry, among others. However, this thesis focuses on the coupling between two models, neutron transport and thermal conduction/convection.The goal of this thesis is to develop a multiphysics solver for simulating accidents in nuclear reactors. The focus is both on the simulation environment and the data treatment used in such simulations.This work discusses the development of a multiphysics framework based around the Jacobian-Free Newton-Krylov (JFNK) method. The framework includes linear and nonlinear solvers, along with interfaces to existing numerical codes that solve neutron transport and thermal hydraulics models (APOLLO3 and MCTH respectively) through the computation of residuals. A new formulation for the neutron transport residual is explored, which reduces the solution size and search space by a large factor; instead of the residual being based on the angular flux, it is based on the fission source.The question of whether using a fundamental mode distribution of the neutron flux for cross section homogenization is sufficiently accurate during fast transients is also explored. It is shown that in an infinite homogeneous medium, using homogenized cross sections produced with a fundamental mode flux differ significantly from a reference solution. The error is remedied by using an alternative weighting flux taken from a time dependent calculation; either a time-integrated flux or an asymptotic solution. The time-integrated flux comes from the multiphysics solution of the accident on a subdomain and an integration in time. The integration can be broken into several “chunks” that capture similar time-dependent behavior. The asymptotic solution comes from an alpha-eigenvalue calculation and uses one or several alpha modes as the weighting flux. Between the two methods, the time-integrated flux is more accurate, but takes longer to obtain a solution.The usability of these new homogenization methods is further developed by studying the effects of spatial heterogeneities and of the discretization of the time-chunks. First, a case with spatial heterogeneities and a localized perturbation is used to show that these methods can be applied to assembly level homogenization. The new methods are shown to perform well with spatial heterogeneities when compared to using a traditional, fundamental mode, homogenization method. Second, an a priori estimate for an optimal time discretization is obtained for the time-integrated flux method. It is shown that further divisions of the time domain reduce the error for several metrics until numerical errors become dominant.To show that these methods work well for industrial sized calculations, a reduced size BWR core calculation is performed. This simulation is based on a rod-drop accident in a BWR core during startup.

In aviation industry, one of the most important aspects is weight savings. This since with a lowered weight, the performance of the aircraft can be increased together with increased fuel savings and thus lowered running costs. One way of saving weight is to reduce energy consumption, since with lowered energy consumption, lowered mass of fuel is required etc. Most aircraft are today maneuvered with hydraulic systems due to its robustness and power density. It is the primary source of power for primary and secondary flight controls. The control of a conventional system which is using proportional valves is done by altering flow by restricting it to the extent where the desired output is achieved, which implies heat losses since the full performance of its supply is wasted through the valve. In previous research, more energy efficient hydraulic systems called digital hydraulics has been investigated. In difference with conventional hydraulics, digital hydraulics uses low cost, high frequency on/off valves, which either are fully opened, or fully closed, instead of proportional valves to achieve the desired output. With this comes the benefit of no energy losses due to leakage and restriction control. The downsides with digital hydraulics is the controlabillity. One way of controlling it is by using several pressure sources which outputs different pressure levels. By using the on/off valves in different combinations, different outputs can be achieved in a discrete manner. In this thesis, the aim was to remove the impact of the discrete force steps which are present in digital hydraulics by creating concepts with hybrid solutions containing both digital hydraulics and restrictive control. Three concepts were developed and investigated using simulation. The energy consumption and performance was analysed and compared with a reference model, the concepts redundancy compared to conventional systems was discussed and finally the concepts were tested with an aircraft simulation model. The concepts were found to reduce the energy consumption with different magnitude depending on the load cycle. The performance was found to be almost as good as the reference model. The redundancy compared with conventional systems should be possible to maintain with slight modifications, but further investigation is needed. It was found that one of the most important aspects regarding energy consumption is which combination of supply pressures is used to supply the system since it influences leakage and flow due to compression.

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第22055号 / 工博第4636号 / 新制||工||1723(附属図書館) / 京都大学大学院工学研究科都市社会工学専攻 / (主査)教授 細田 尚, 教授 戸田 圭一, 准教授 音田 慎一郎 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

<div>Gerotor pumps are positive displacement pumps that are frequently used in low-pressure applications such as lubrication and charge pumps. They are characterized by their unique gearset that is an internal gearset with one tooth difference that has continuous contact throughout the entire rotation. Recent trends especially in the automotive industry suggest an increased demand for greater performance from these pumps, e.g. operating with higher pressure, higher speed, lower viscosity fluid, less noise emission, and greater energy efficiency. The shape of the gears is one of the most important aspects of a gerotor pump, as it determines the pump's size and flow, affects its internal leakages, and influences its amount of wear. Although gerotors have been in operation for nearly 100 years, no design methodology has emerged in scientific literature that fully considers all the main performance aspects simultaneously and identifies the best designs. This problem is made more difficult, as gerotors can have an infinite number of different types of profiles. The main goals of this work are therefore to define a method to design gerotor gear geometry for several performance goals, identify the best designs for a given gear profile type, compare the best designs among the various profile types, and invent a new profile type that can offer improved performance over conventional designs.</div><div><br></div><div>Gerotor profile generation is described in the beginning, first for the conventional epitrochoidal, hypotrochoidal, and standard cycloidal profile types. Then a description of how to generate gerotors from an arbitrary curve is given and applied to elliptical, generalized cycloidal, cosine, and asymmetric elliptical gerotors. The generalized cycloidal profile type is new to this work.</div><div><br></div><div>Multi-objective optimization is used as the method to identify the best gear profiles for a given application considering seven performance metrics and ensuring a feasible gear profile. The seven performance goals to minimize are the radius of a pump for a given geometric displacement and face width, the kinematic flow ripple, the adhesive wear, the contact stress, the tooth tip leakage, the lateral gap leakage, and the mean displacement chamber inlet velocity. The conditions to generate feasible gerotor profiles without cusps or self-intersections are also given as constraints for the optimizations.</div><div> </div><div> Seven gerotor profiles were then optimized using a genetic algorithm to consider all the performance aspects. The design space for each profile type was thoroughly explored, and clear Pareto fronts were identified. The Pareto fronts from each profile type were then combined, and a new Pareto front was identified from the best designs of each profile type. No single profile type proves to be objectively better than the others, but the epitrochoidal, hypotrochoidal, elliptical, and generalized cycloidal profile types tend to produce the best designs. Two methods to select a design from the Pareto front that consider the relative importance of each performance goal were presented.</div><div> </div><div> The optimization strategy was then further validated by demonstrating significant possible performance improvement over state-of-the-art designs in industry and suggesting alternative designs to a specific gearset used in industry that were tested in simulation and experiment. Two generalized cycloidal profiles were selected as alternative designs: the first design matched the fluid dynamic performance of the reference design with significantly reduced contact stress, and the second is a profile that could reduce the outlet flow ripple while fitting within the same pump housing. The contact stress of the reference and alternative designs when including clearance between the gears was compared in finite element analysis. Prototypes of the alternative designs were then manufactured and tested in experiment. The experimental pressure ripples of the alternative designs were compared, and the second design showed a reduction in outlet pressure ripple that validates the proposed design methodology.</div><div> </div><div> This work has thoroughly explored the performance possibilities of the gerotor mechanism and presented a method to select an optimal profile geometry depending on the desired performance characteristics. It has therefore accomplished its goals in making a contribution toward improving the performance gerotor gear geometry.</div>

The subject of this thesis is realization of short research of current compact hydraulic power unit, realization of FEM analysis with aim to find inappropriately dimensioned parts of structures. Based on this data design optimized solution of structures and create drawings of weldments. This thesis is carried out in cooperation with company Bosch Rexroth, spol.s.r.o.

The assignment of my diploma thesis is to design the family house heating system. The source of energy is heat pump for heating which takes heat from areal collector.

The first part of this masters thesis deals with research of modulat type hydraulics power units from other significant world producers. Design part of thesis contains complete design of three product ranges of hydraulics power units. It also includes simulation by FEM method. Last part descibe safety of machine and brief economic evaluation of product.

Thesis deals about solution of non-steady flow in hydraulic systems, which have one dominant component of velocity. Such systems can be arbitrarily structured and they are not limited by number of elements. Computation is based on Lax-Wendroff method and enables considering of variable sound peed as function of static pressure and properties of pipe material. It means, that hydraulic system can be very various. Numerical method is described in detail and description is also focused on sensitivity of method for time step and length step. It can be very imported for evaluation of numerical viscosity, which is compared with second viscosity of fluid. Hammer is working title of software, which was developed on the basis of written numerical procedures. This software enables fast computation of flow in pipe-line systems.

<p>With their advantages of low-cost, high-reliability and simplicity, external gear pumps (EGPs) are popular choices in many applications, such as mobile hydraulic control system, fuel injection, and liquid transportation system, to name a few. Like other positive displacement machines, EGPs are characterized by a flow non-uniformity, which is given by the gear meshing and results in vibrations and noises. With increasing demands for low-noise components required by modern fluid-power systems, new designs of external gear machines with less noise emission and lower pulsation production are highly desired by the industry. </p><p><br></p><p>To satisfy these demands, there are several new-generation gear pump designs that have been realized by the industry and already commercialized. However, the research from both academia on external gear pumps are still primarily focused traditional involute gear pumps, while state-of-the-art research on these new-generation external gear pumps are highly lacked. Also for the most novel designs recently released to the market, their designs still have large margin to improve, as some of the physics inside these gear machines are not well understood and formulated. The goal of this research is to fill in this gap, by gain understanding of the relations between design features and actual flow generated by such novel designs, and provide general methods of analysis and design for efficient and silent units. </p><p><br></p><p>To achieve this goal, this PhD dissertation presents a comprehensive approach of analysis for external gear pumps, with the emphasis on the new-generation helical gear pumps. The discussion covers a large variety of aspects for gear pump design and analysis, including: the analysis on the gear profile design and meshing, the displacement-chamber geometric modeling, and the kinematic-flow analysis. They are followed by a dynamic simulation model covering the dynamics of fluids, forces, and micro-motions, together with simulation results that provides the insights into the physics of new-generation gear machines. Multiple experimental results are provided, which show the validity of the simulation models by matching the pressure ripple measurement and the volumetric efficiencies. Furthermore, a linearized analysis on the ripple source of gear pumps are described, in order to provide the connection and understanding of the pump-generated ripple to the higher-level system analysis, which is also missing from the past academia research. In addition, the some of the models are utilized in optimization studies. These optimization results show the potentials of using the proposed approach of analysis to improve the existing designs as well as development of more efficient and silent units.</p><div><br></div>

Condition monitoring of hydraulic systems has become more available and inexpensive to implement. However, much of the research on this topic has been done on stationary hydraulic systems without the jump to mobile machines. This lack of research on condition monitoring of hydraulic systems on mobile equipment is addressed in this work. The objective of this work is to develop a novel process of implementing an affordable condition monitoring system for axial piston pumps on a mobile machine, a mini excavator in this work. The intent was to find a minimum number of sensors required to accurately predict a faulty pump. First, an expert understanding of the different components on an axial piston pump and how those components interact with one another was discussed. The valve plate was selected as a case study for condition monitoring because valve plates are a critical component that are known for a high percentage of failures in axial piston pumps. Several valve plates with various degrees of natural wear and artificially generated damage were obtained, and an optical profilometer was used to quantify the level of wear and damage. A stationary test-rig was developed to determine if the faulty pumps could be detected under a controlled environment, to test several different machine learning algorithms, and to perform a sensor reduction to find the minimum number of required sensors necessary to detect the faulty pumps. The results from this investigation showed that only the pump outlet pressure, drain pressure, speed, and displacement are sufficient to detect the faulty pump conditions, and the K-Nearest Neighbor (KNN) machine learning algorithms proved to be the least computationally expensive and most accurate algorithms that were investigated. Fault detectability accuracies of 100% were achievable. Next, instrumentation of a mini excavator was shown to begin the next phase of the research, which is to implement a similar process that was done on the stationary test-rig but on a mobile machine. Three duty cycle were developed for the excavator: controlled, digging, and different operator. The controlled duty cycle eliminated the need of an operator and the variability inherent in mobile machines. The digging cycle was a realistic cycle where an operator dug into a lose pile of soil. The different operator cycle is the same as the digging cycle but with another operator. The sensors found to be the most useful were the same as those determined on the stationary test-rig, and the best algorithm was the Fine KNN for both the controlled and digging cycles. The controlled cycle could see fault detectability accuracies of 100%, while the digging cycle only saw accuracies of 93.6%. Finally, a cross-compatibility between a model trained under one cycle and using data from another cycle as an input into the model. This study showed that a model trained under the controlled duty cycle does not give reliable and accurate fault detectability for data run in a digging cycle, below 60% accuracies. This work concluded by recommending a diagnostic function for mobile machines to perform a preprogrammed operation to reliably and accurately detect pump faults.