Tübingen, Universiẗat, Diss., 2001.

No description available.

No description available.

Techn. University, Diss., 2004--Berlin.

A complete understanding of the cooling process when hot rolling steel is essential to understanding how the quality of the steel is connected to the cooling. This is why it is of great interest to simulate this process. However traditional CFD methods are too expensive in terms of CPU time. Knowing that video games successfully simulate fluids in reasonable time, those methods could be useful for simulating the cooling process in steel manufacturing. This would mean a loss in accuracy that could be acceptable. In this thesis different methods used for fluid simulations have been studied. The Smoothed Particle Hydrodynamics (SPH) method has been chosen. The method has been implemented for simulating the cooling process in MATLAB, which is a matrix operation based programming tool. Convincing results have been achieved for a big scale, but problems still remain for an implementation on a small scale.

Universiẗat, Diss., 2000--Tübingen. / Gedr. Ausg. in Selbstverl. Stefan Kunze, Tübingen.

With the growing threat of orbital debris impacts to space structures, the development of space shielding concepts has been a critical research topic. In this study, numerical simulations of the hypervelocity impact response of stacked aluminum 6061-T6 sheets were performed to assess the effects of layering on penetration resistance. This work was initially motivated by set of experimental tests where a stack of four aluminum sheets of equal thickness was observed to have a higher hypervelocity ballistic resistance than a monolithic aluminum sheet with the same total thickness. A set of smoothed particle hydrodynamic simulations predicted a 40% increase in the ballistic limit for a 6-layer target compared to a monolithic sheet. In addition, the effect of variable sheet thickness and sheet ordering on the impact resistance was investigated, while still maintaining a constant overall thickness. A set of thin layers in front of a thick layer generally lead to a higher predicted ballistic limit than the inverse configuration. This work demonstrates an increase in the performance of advanced space shielding structures associated with multi-layering. This suggests that it may be possible to dramatically improve the performance of such structures by tailoring the material properties, interfaces, and layering concepts.

Le procédé du rotomoulage réactif est une technologie de fabrication de pièces creuses de taille et géométrie très variés. Une compréhension et une modélisation des phénomènes physiques qui interviennent dans les différentes étapes de la fabrication apportent une contribution importante à la maîtrise de ce procédé. Les travaux abordés dans cette thèse se situent dans le cadre d'un programme plus général visant le contrôle et le pilotage du rotomoulage réactif.Tout d'abord, une caractérisation et modélisation de la cinétique du polyuréthane thermodurcissable en mode dynamique est réalisé suivie par des mesures rhéologiques afin d'établir des lois rhéocinétique ainsi que des lois du comportement viscoélastiques du système réactionnel. Ces lois de comportement sont établies conformément aux conditions réelles de la mise en œuvre du matériau.Ensuite, nous simulons le procédé du rotomoulage en utilisant un code de calcul basé sur la méthode « Smoothed Particle Hydrodynamics » (SPH), développé par notre équipe, en implémentant des nouveaux paramètres physiques: le caractère non-newtonien du mélange réactionnel et les effets de tension superficielle.Le modèle de tension de surface en 2 et 3D développé dans cette thèse permet la détection explicite de l'interface séparant le fluide réactif de l'air. Puis, nous utilisons l'interpolation lagrangienne ou la régression circulaire pour construire la courbe d'interface en 2D et la surface d'interface en 3D sera reconstruite via la régression sphérique. Quant à la modélisation de l'écoulement du fluide non-newtonien, une loi de puissance décrivant l'évolution de la viscosité en fonction du taux de cisaillement a été intégrée dans le solveur pour décrire le caractère non-newtonien du mélange réactionnel durant sa mise en œuvre. Ces paramètres physiques implémentés dans le code ont été validé par une série de cas de tests en 2 et 3D.L'intégration des effets de tension de surface et la prise en compte du caractère non-newtonien du fluide réactif nous ont permis de mieux présenter la mouillabilité de la surface interne du moule et l'étalement des différentes couches du polymères.Mots clés : rotomoulage réactif, polyuréthane thermodurcissable, rhéocinétique, Smoothed Particle Hydrodynamics, tension de surface, fluide non-newtonien, simulation. / Reactive Rotational molding (RRM) is a process for manufacturing hollow plastic products with no weld lines, in virtually any shape, size, color and configuration, using biaxial rotation and high temperature. Understanding and modelling of physical phenomena provide a great contribution for process control that is the purpose of a more general program.Firstly, a characterization and the kinetic modeling of the thermoset polyurethane are performed in anisothermal conditions followed by rheological measurements in order to establish rheokinetik model and the the viscoelastic behavior of the reactive system according with RRM conditions.Afterwards, to simulate the RRM, Smoothed Particles Hydrodynamics (SPH) method is applied which is suited method to simulate the fluid flow with free surface such as occurs at RRM. This solver is developed by our team. Modelling and simulating reactive system flow depend on different parameters; the physical phenomena involved are: surface tension force and non-newtonian fluid behavior.The surface tension method has been successfully applied to simulate RRM using SPH solver taking into account free surface tension force. Surface tension force is given explicitly in the current model. After detecting the boundary particles, the interface is locally fitted by using Lagrangian interpolation polynomial or fitting circle in 2D and by using fitting sphere in 3D, respectively. To study the non-newtonian fluid flow during RRM, a power law describes the evolution of the viscosity versus shear rate was adopted to describe the viscoelastic nature of the reactive fluid during its shaping.The implementation of surface tension and viscoelasticity allows us to present the wettability of internal surface of the mold and the spreading of different polymers layers.Keywords : Reactive rotational molding, thermoset polyurethane, rheokinetik, Smoothed Particle Hydrodynamics, surface tension, non-newtonian fluid, simulation.

Ce mémoire présente une nouvelle méthode pour simuler de l'air en interaction avec des solides en se basant sur le modèle particulaire Smoothed Particle Hydrodynamics (SPH). Après avoir rappelé les bases de SPH ainsi que ses variantes incompressibles WCSPH et PCISPH pour simuler de l'eau, nous présentons un modèle de simulation d'air réaliste permettant de simuler des effets aérodynamiques. Par exemple nous arrivons à faire léviter une balle dans un flux d'air grâce à une gestion des interactions air-solide dans les deux sens. Nous proposons aussi une initialisation simple et rapide pour échantillonner rapidement l'air avec des particules SPH tout en prenant en compte les objets solides de la scène 3D. La technique consiste à échantillonner le domaine en se basant sur une grille uniforme puis à abaisser progressivement la densité cible appellé aussi densité au repos poussant les particules d'air à occuper tout l'espace de la simulation. Cette diminution s'arrête lorsque la densité cible vaut la densité moyenne des particules, c'est-à-dire la somme des densités des particules divisée par le nombre total de particules de fluides. Les résultats obtenus ont été comparés avec des expériences réelles dans le but de valider notre modèle.

<pre>Finite mixture models have been successfully used in many applications, such as classification, clustering, and many others. As opposed to classical parametric mixture models, nonparametric and semiparametric mixture models often provide more flexible approaches to the description of inhomogeneous populations. As an example, in the last decade a particular two-component semiparametric density mixture model with a known component has attracted substantial research interest. Our thesis provides an innovative way of estimation for this model based on minimization of a smoothed objective functional, conceptually similar to the log-likelihood. The minimization is performed with the help of an EM-like algorithm. We show that the algorithm is convergent and the minimizers of the objective functional, viewed as estimators of the model parameters, are consistent. </pre><pre><br></pre><pre>More specifically, in our thesis, a semiparametric mixture of two density functions is considered where one of them is known while the weight and the other function are unknown. For the first part, a new sufficient identifiability condition for this model is derived, and a specific class of distributions describing the unknown component is given for which this condition is mostly satisfied. A novel approach to estimation of this model is derived. That approach is based on an idea of using a smoothed likelihood-like functional as an objective functional in order to avoid ill-posedness of the original problem. Minimization of this functional is performed using an iterative Majorization-Minimization (MM) algorithm that estimates all of the unknown parts of the model. The algorithm possesses a descent property with respect to the objective functional. Moreover, we show that the algorithm converges even when the unknown density is not defined on a compact interval. Later, we also study properties of the minimizers of this functional viewed as estimators of the mixture model parameters. Their convergence to the true solution with respect to a bandwidth parameter is justified by reconsidering in the framework of Tikhonov-type functional. They also turn out to be large-sample consistent; this is justified using empirical minimization approach. The third part of the thesis contains a series of simulation studies, comparison with another method and a real data example. All of them show the good performance of the proposed algorithm in recovering unknown components from data.</pre>