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Item Open Access Test planning for low-power built-in self test(2014) Zoellin, Christian G.; Wunderlich, Hans-Joachim (Prof. Dr. rer. nat. habil.)Power consumption has become the most important issue in the design of integrated circuits. The power consumption during manufacturing or in-system test of a circuit can significantly exceed the power consumption during functional operation. The excessive power can lead to false test fails or can result in the permanent degradation or destruction of the device under test. Both effects can significantly impact the cost of manufacturing integrated circuits. This work targets power consumption during Built-In Self-Test (BIST). BIST is a Design-for-Test (DfT) technique that adds additional circuitry to a design such that it can be tested at-speed with very little external stimulus. Test planning is the process of computing configurations of the BIST-based tests that optimize the power consumption within the constraints of test time and fault coverage. In this work, a test planning approach is presented that targets the Self-Test Using Multiple-input signature register and Parallel Shift-register sequence generator (STUMPS) DfT architecture. For this purpose, the STUMPS architecture is extended by clock gating in order to leverage the benefits of test planning. The clock of every chain of scan flip-flops can be independently disabled, reducing the switching activity of the flip-flops and their clock distribution to zero as well as reducing the switching activity of the down-stream logic. Further improvements are obtained by clustering the flip-flops of the circuit appropriately. The test planning problem is mapped to a set covering problem. The constraints for the set covering are extracted from fault simulation and the circuit structure such that any valid cover will test every targeted fault at least once. Divide-and-conquer is employed to reduce the computational complexity of optimization against a power consumption metric. The approach can be combined with any fault model and in this work, stuck-at and transition faults are considered. The approach effectively reduces the test power without increasing the test time or reducing the fault coverage. It has proven effective with academic benchmark circuits, several industrial benchmarks and the Synergistic Processing Element (SPE) of the Cell/B.E.™ Processor (Riley et al., 2005). Hardware experiments have been conducted based on the manufacturing BIST of the Cell/B.E.™ Processor and shown the viability of the approach for industrial, high-volume, high-end designs. In order to improve the fault coverage for delay faults, high-frequency circuits are sometimes tested with complex clock sequences that generate test with three or more at-speed cycles (rather than just two of traditional at-speed testing). In order to allow such complex clock sequences to be supported, the test planning presented here has been extended by a circuit graph based approach for determining equivalent combinational circuits for the sequential logic. In addition, this work proposes a method based on dynamic frequency scaling of the shift clock that utilizes a given power envelope to it full extent. This way, the test time can be reduced significantly, in particular if high test coverage is targeted.Item Open Access Multi-objective automatic calibration of hydrodynamic models - development of the concept and an application in the Mekong Delta(2011) Nguyen, Viet-Dung; Bárdossy, András (Prof. Dr. rer.nat. Dr.-Ing. habil.)Automatic and multi-objective calibration of hydrodynamic models is still underdeveloped, in particular, in comparison with other fields such as hydrological modeling. This is for several reasons: lack of appropriate data, the high degree of computational time demanded, and a suitable framework. These aspects are aggravated in large-scale applications. There are recent developments, however, that improve both the data and the computing constraints. Remote sensing, especially radar-based techniques, provide highly valuable information on flood extents, and in case high precision Digital Elevation Models (DEMs) are present, also on spatially distributed inundation depths. With regards to computation, the use of parallelization techniques brings significant performance gains. In the presented study, we build on these developments by calibrating a large-scale one-dimensional hydrodynamic model of the whole Mekong Delta downstream of Kratie in Cambodia: We combine in-situ data from a network of river gauging stations, i.e. data with high-temporal but low-spatial resolution, with a series of inundation maps derived from ENVISAT Advanced Synthetic Aperture Radar (ASAR) satellite images, i.e. data with low-temporal but high-spatial resolution, in a multi-objective automatic calibration process. It is shown that this kind of calibration of hydrodynamic models is possible, even in an area as large-scale and complex as the Mekong Delta. Furthermore, the calibration process reveals deficiencies in the model structure, i.e. the representation of the dike system in Vietnam, which would be difficult to detect by a standard manual calibration procedure. In the last part of the dissertation the established hydrodynamic model is combined with flood frequency analysis in order to assess the flood hazard in the Mekong Delta. It is now common to state that climate change can lead to a change in flood hazard. Starting from this assumption, this study develops a novel approach for flood hazard mapping in the Mekong Delta. Typically, flood frequency analysis assumes stationarity and is limited to extreme value statistics of flood peaks. Both, the stationarity assumption and the limitation to univariate frequency analysis remain doubtful in the case of the Mekong Delta, because of changes in hydrologic variability and because of the large relevance of the flood volume for the impact of flooding. Thus, besides the use of the traditional approach for flood frequency analysis, this study takes non-stationarity and bivariate behavior into account. Copula-based bivariate analysis is used to model the dependence and to generate pairs of maximum discharge and volume, by coupling their marginal distributions to gain a bivariate distribution. In addition, based on cluster analysis, groups of characteristic hydrographs are identified and synthetic flood hydrographs are generated. These hydrographs are the input for the calibrated large-scale hydrodynamic model of the Mekong Delta, resulting in flood hazard maps for the whole Mekong Delta. To account for uncertainty within the hazard assessment, a Monte Carlo framework is applied yielding probabilistic hazard maps.Item Open Access Präzise Fahrzeugpositionierung durch Entzerrung der gepulsten magnetischen Flussdichteverteilung einer Ladespule(2017) Martinovic, Dean; Reuss, Hans-Christian (Prof. Dr.-Ing.)Elektrofahrzeuge werden in Zukunft nicht mehr per Kabel, sondern mittels induktiver Ladesysteme mit Strom versorgt. Um eine hohe Ladeleistung sicher übertragen zu können, müssen die Spulen hinreichend genau übereinander positioniert werden, was für den Fahrer eine kaum lösbare Aufgabe darstellt. Das allgemeine Ziel der vorliegenden Arbeit ist es daher, eine neue Methode zu untersuchen, die ein gepulstes Magnetfeld der Ladespule zu dessen Ortung nutzt. Hierbei wird das magnetische Pulssignal durch den ferromagnetischen Unterboden des Elektrofahrzeugs verzerrt. Dieser verändert die Pulsamplitude entsprechend einer unbekannten Abbildung, ohne deren Kenntnis eine präzise und eindeutige Positionierung nicht möglich ist. Die Herausforderung der vorliegenden Arbeit ist daher die Bestimmung dieser Abbildung samt ihrer Eigenschaften und Abhängigkeiten. Theoretische Untersuchungen zeigen, dass die Abbildung allgemein vom nicht-deterministischen magnetischen Zustand des Unterbodenmaterials abhängt und dessen messtechnische Erfassung kaum möglich ist. Im weiteren Verlauf der Untersuchungen wird jedoch hergeleitet, dass die Ladespule, das Elektrofahrzeug und die umgebende Atmosphäre zusammen einen magnetischen Kreis bilden, der aufgrund der sehr hohen Reluktanz der Atmosphäre linear ist. Änderungen des magnetischen Zustands haben folglich keinen Einfluss auf die Abbildung. Diese ist somit reproduzierbar und kann messtechnisch einfach erfasst werden. Die These wird für unterschiedliche magnetische Zustände experimentell nachgewiesen. Basierend auf den Forschungsergebnissen wird ein vollständiger Prototyp entwickelt und in ein Versuchsfahrzeug integriert. Das Gesamtsystem wird anschließend erfolgreich getestet. Die gefundenen Ergebnisse zeigen, dass mittels gepulster magnetischer Felder eine universelle, kostengünstige, sichere und präzise Positionierung von Elektrofahrzeugen möglich ist. Dies unterstreicht das Potential des neuen, komfortablen Positionierungsverfahrens eine Schlüsseltechnologie für die Elektromobilität zu werden.Item Open Access Chiral metamaterials(2016) Eslami, Sahand; Fischer, Peer (Prof. Dr.)Item Open Access Coolability of volumetrically heated particle beds(Stuttgart : Institut für Kernenergetik und Energiesysteme, 2017) Rashid, Muhammad; Laurien, Eckart (Prof. Dr.-Ing. habil.)Item Open Access Thermo-hydraulic analysis of wall bounded flows with supercritical carbon dioxide using direct numerical simulation(Stuttgart : Institute of Nuclear Technology and Energy Systems, 2018) Pandey, Sandeep; Laurien, Eckart (Prof. Dr.-Ing. habil.)The power cycle based on supercritical carbon dioxide technologies promises a higher thermal efficiency and a compact plant layout. However, heat transfer and hydraulic characteristics are peculiar in the near-critical region due to the sharp variation of thermophysical properties in a narrow temperature and pressure range. Therefore, this works presents the results of several direct numerical simulations (DNS) of turbulent wall-bounded flow at supercritical pressure. The spatially developing pipe flows are simulated with the low Mach number approximation to characterize the cooling process of supercritical carbon dioxide. The upward and downward flow of carbon dioxide in vertical orientation has been considered. Heat transfer deterioration followed by recovery is observed in the downward flow while enhancement occurs in the upward flow as compared to forced convection. During the heat transfer deterioration, sweep and ejection events are decreased greatly, triggering the reduction in turbulence. The recovery in turbulence is brought by the Q1 and Q3 (also known as outward and inward interaction) events, contrary to the conventional belief about turbulence generation. The turbulence anisotropy of the Reynolds stress tensor showed that the turbulence structure becomes rod-like during the deteriorated heat transfer regime in the downward flow and disc-like for the upward flow. In addition to low Mach number DNS, a framework for using fully-compressible discontinuous Galerkin spectral element method for DNS of supercritical carbon dioxide is presented. A turbulent channel flow is considered to demonstrate the ability of this framework and to observe the effects of Mach number in the supercritical fluid regime. The increase in the Mach number increases the turbulence in the flow for a given Reynolds number. Finally, a computationally light data-driven approach for heat transfer and hydraulic characteristics modeling of supercritical fluids is presented based on the deep neural network. This innovative approach has shown remarkable prediction capabilities.Item Open Access Beitrag zur Untersuchung von hochfesten synthetischen Faserseilen unter hochdynamischer Beanspruchung(Stuttgart : Institut für Fördertechnik und Logistik (IFT) der Universität Stuttgart, 2017) Wehr, Martin; Wehking, Karl-Heinz (Prof. Dr.-Ing. Dr. h.c.)Item Open Access Simulationsmethodiken zur Beschreibung des Rissverhaltens an Abgasbauteilen unter thermomechanischer Ermüdungsbeanspruchung(2018) Schlegel, Jan; Schmauder, Siegfried (Prof. Dr. rer. nat. Dr. h. c.)In der Verbrennungsmotorentwicklung macht das sogenannte Downsizing eine betriebsfeste Auslegung von Abgaskomponenten zunehmend schwieriger. Hier machen steigende thermomechanische Belastungen die Entstehung von Rissen an bestimmten, kritischen Stellen unvermeidbar. In der Regel beeinträchtigen jedoch nur Durchrisse die Funktion von Abgasbauteilen. Zu einer zuverlässigen Bauteilbewertung gehört daher die Beurteilung von Anrissen bezüglich des Ausbreitungspfads und der Wachstumsgeschwindigkeit. Da experimentelle Untersuchungen - gerade im Falle verschiedener Werkstoffund Geometriekandidaten - sehr kostspielig sind, sollen in dieser Arbeit Methoden zur rechnerischen Beschreibung von Rissen mittels FEM entwickelt werden. Im Rahmen der schriftlichen Ausarbeitung wird dies anhand des Werkstoffs D-5S und zweier Methoden von verschiedenartigem Ansatz dargestellt. Zunächst finden Versuche an einem Prüfstand für Prinzipproben, den sogenannten Zungenproben, statt. Dies umfasst auch metallographische Untersuchungen der Prozesszone und des Risspfads, um Aufschluss über die Eignung potentieller Berechnungsmethoden zu geben. Im Anschluss erfolgt auf dieser Basis die Entwicklung der verschiedenen Methoden. Das beinhaltet beispielsweise geeignete Rissfortschrittskriterien, die Einführung einer Zustandsgrößengewichtung oder die Rissrichtungsbestimmung. Die Parameterermittlung für die Rissfortschrittsmodelle, welche eine geraffte zeitliche Beschreibung ermöglichen sollen, findet über Rissfortschrittskurven der Prinzipproben statt. Da die Geometrie dieser Proben bewusst einfach gehalten ist, an komplexen Geometrien jedoch eine Vielzahl an Lastfällen auftreten können, muss eine Validierung der Modelle stattfinden. Dafür wird ein Turbinengehäuse ausgewählt, welches auf einem Heißgasprüfstand getestet und auf Risse untersucht wird. Durch die große Anzahl an Rissen kann anschließend eine Bewertung der vorgestellten Methoden stattfinden. Diese schließt neben der Prognosequalität auch deren Anwendbarkeit und Stabilität ein.Item Open Access Novel X-ray lenses for direct and coherent imaging(2019) Sanli, Umut Tunca; Schütz, Gisela (Prof. Dr.)Item Open Access Modeling of porous polymer membrane formation(2017) Hopp-Hirschler, Manuel; Nieken, Ulrich (Prof. Dr.-Ing.)Porous polymer membranes are used in several separation processes, e.g. in dialysis or in water purification. The morphology of the membrane affects the quality of separation, e.g. selectivity, as well as the mechanical stability of the membrane. To control the morphology of the membrane during the preparation process we first need to understand the mechanism that leads to different pore structures. It is desirable to use a numerical model to predict the pore type and detailed structure. Wet-casting is a very common preparation process for porous polymer membranes where a liquid precipitation agent is used. Herein, a polymer solution and a coagulation bath is brought into contact. After contact the polymer solution is driven into a miscibility gap and starts to phase separate into a polymer lean and a polymer rich phase. Starting from the contact area between polymer solution and coagulation bath a pore structure grows where the polymer rich phase leads to the pore matrix. Although the process is used frequently in the last decades, its mechanism is still not fully understood. Therefore, the motivation in this thesis is to bridge experimental observations from membrane science to theoretical physics where concepts exist to understand the formation of pore structures in porous polymer membranes.