Universität Stuttgart
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Item Open Access Novel X-ray lenses for direct and coherent imaging(2019) Sanli, Umut Tunca; Schütz, Gisela (Prof. Dr.)Item Open Access Chiral metamaterials(2016) Eslami, Sahand; Fischer, Peer (Prof. Dr.)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 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 Rigorous compilation for near-term quantum computers(2024) Brandhofer, Sebastian; Polian, Ilia (Prof.)Quantum computing promises an exponential speedup for computational problems in material sciences, cryptography and drug design that are infeasible to resolve by traditional classical systems. As quantum computing technology matures, larger and more complex quantum states can be prepared on a quantum computer, enabling the resolution of larger problem instances, e.g. breaking larger cryptographic keys or modelling larger molecules accurately for the exploration of novel drugs. Near-term quantum computers, however, are characterized by large error rates, a relatively low number of qubits and a low connectivity between qubits. These characteristics impose strict requirements on the structure of quantum computations that must be incorporated by compilation methods targeting near-term quantum computers in order to ensure compatibility and yield highly accurate results. Rigorous compilation methods have been explored for addressing these requirements as they exactly explore the solution space and thus yield a quantum computation that is optimal with respect to the incorporated requirements. However, previous rigorous compilation methods demonstrate limited applicability and typically focus on one aspect of the imposed requirements, i.e. reducing the duration or the number of swap gates in a quantum computation. In this work, opportunities for improving near-term quantum computations through compilation are explored first. These compilation opportunities are included in rigorous compilation methods to investigate each aspect of the imposed requirements, i.e. the number of qubits, connectivity of qubits, duration and incurred errors. The developed rigorous compilation methods are then evaluated with respect to their ability to enable quantum computations that are otherwise not accessible with near-term quantum technology. Experimental results demonstrate the ability of the developed rigorous compilation methods to extend the computational reach of near-term quantum computers by generating quantum computations with a reduced requirement on the number and connectivity of qubits as well as reducing the duration and incurred errors of performed quantum computations. Furthermore, the developed rigorous compilation methods extend their applicability to quantum circuit partitioning, qubit reuse and the translation between quantum computations generated for distinct quantum technologies. Specifically, a developed rigorous compilation method exploiting the structure of a quantum computation to reuse qubits at runtime yielded a reduction in the required number of qubits of up to 5x and result error by up to 33%. The developed quantum circuit partitioning method optimally distributes a quantum computation to distinct separate partitions, reducing the required number of qubits by 40% and the cost of partitioning by 41% on average. Furthermore, a rigorous compilation method was developed for quantum computers based on neutral atoms that combines swap gate insertions and topology changes to reduce the impact of limited qubit connectivity on the quantum computation duration by up to 58% and on the result fidelity by up to 29%. Finally, the developed quantum circuit adaptation method enables to translate between distinct quantum technologies while considering heterogeneous computational primitives with distinct characteristics to reduce the idle time of qubits by up to 87% and the result fidelity by up to 40%.Item Open Access Spatiotemporal change detection based on persistent scatterer interferometry : a case study of monitoring urban area(2019) Yang, Chia-Hsiang; Sörgel, Uwe (Prof. Dr.-Ing.)Item Open Access Development and investigation of protonic ceramic cells for hydrogen production at intermediate temperatures(2024) Zheng, Haoyu; Thess, André (Prof. Dr.)Item Open Access The benefit of muscle-actuated systems : internal mechanics, optimization and learning(Stuttgart : Institut für Modellierung und Simulation Biomechanischer Systeme, Computational Biophysics and Biorobotics, 2023) Wochner, Isabell; Schmitt, Syn (Prof. Dr.)We are facing the challenge of an over-aging and overweight society. This leads to an increasing number of movement disorders and causes the loss of mobility and independence. To address this pressing issue, we need to develop new rehabilitation techniques and design innovative assistive devices. Achieving this goal requires a deeper understanding of the underlying mechanics that control muscle-actuated motion. However, despite extensive studies, the neural control of muscle-actuated motion remains poorly understood. While experiments are valuable and necessary tools to further our understanding, they are often limited by ethical and practical constraints. Therefore, simulating muscle-actuated motion has become increasingly important for testing hypotheses and bridge this knowledge gap. In silico, we can establish cause-effect relationships that are experimentally difficult or even impossible to measure. By changing morphological aspects of the underlying musculoskeletal structure or the neural control strategy itself, simulations are crucial in the quest for a deeper understanding of muscle-actuated motion. The insights gained from these simulations paves the way to develop new rehabilitation techniques, enhance pre-surgical planning, design better assistive devices and improve the performance of current robots. The primary objective of this dissertation is to study the intricate interplay between musculoskeletal dynamics, neural controller and the environment. To achieve this goal, a simulation framework has been developed as part of this thesis, enabling the modeling and control of muscle-actuated motion using both model-based and learning-based methods. By utilizing this framework, musculoskeletal models of the arm, head-neck complex and a simplified whole-body model are investigated in conjunction with various concepts of motor control. The main research questions of this thesis are therefore: 1. How does the neural control strategy select muscle activation patterns to generate the desired movement, and can we use this knowledge to design better assistive devices? 2. How does the musculoskeletal dynamics facilitate the neural control strategy in accomplishing this task of generating desired movements? To address these research questions, this thesis comprises a total of five journal and conference articles. More specifically, contributions I-III of this thesis focus on addressing the first research question which aims to understand how voluntary and reflexive movements can be predicted. First, we investigate various optimality principles using a musculoskeletal arm model to predict point-to-manifold reaching tasks. By using predictive simulations, we demonstrate how the arm would move towards a goal if, for example, our neural control strategy would minimize energy consumption. The main finding of this contribution shows that it is essential to include muscle dynamics and consider tasks with more openly defined targets to draw accurate conclusions about motor control. Through our analysis, we show that a combination of mechanical work, jerk and neuronal stimulation effort best predicts point-reaching when compared to human experiments. Second, we propose a novel method to optimize the design of exoskeleton power units taking into account the load cycle of predicted human movements. To achieve this goal, we employ a forward dynamic simulation of a generic musculoskeletal arm model, which is first scaled to represent different individuals. Next, we predict individual human motions and employ the predicted human torques to scale the electrical power units employing a novel scalability model. By considering the individual user needs and task demands, our approach achieves a lighter and more efficient design. In conclusion, our framework demonstrates the potential to improve the design of individual assistive devices. The third contribution focuses on predicting reflexive movements in response to sudden perturbations of the head-neck complex. To achieve this, we conducted experiments in which volunteers were placed on a table while supporting their heads with a trapdoor. This trapdoor was then suddenly released leading to a downward movement of the head until the reflexive reaction of the muscles stops the head from falling. We analyzed the results of these experiments, presenting characteristic parameters and highlighting differences between separate age and gender groups. Using this data, we also set up benchmark validations for a musculoskeletal head-neck model, including reflex control strategies. Our main findings are that there are large individual differences in reflexive responses between participants and that the perturbation direction significantly affects the reflexive response. Furthermore, we show that this data can be used as a benchmark test to validate musculoskeletal models and different muscle control strategies. While the first three contributions focus on the research question (1), contributions IV-V focus on (2) whether and how the musculoskeletal dynamics facilitate the learning and control task of various movements. We utilize a recently introduced information-theoretic approach called control effort to quantify the minimally required information to perform specific movements. By applying this concept, we can for example quantify how much biological muscles reduce the neuronal information load compared to technical DC-motors. We present a novel optimization algorithm to find this control effort and apply it to point-reaching and walking tasks. The main finding of this contribution is that the musculoskeletal dynamics reduce the control effort required for these movements compared to torque-driven systems. Finally, we hypothesize that the highly nonlinear muscle dynamics not only facilitate the control task but also provide inherent stability that is beneficial for learning from scratch. To test this, we employed various learning strategies for multiple anthropomorphic tasks, including point-reaching, ball-hitting, hopping, and squatting. The results of this investigation demonstrate that using muscle-like actuators improves the data-efficiency of the learning tasks. Additionally, including the muscle dynamics improves the robustness towards hyperparameters and allows for a better generalization towards unknown and unlearned perturbations. In summary, this thesis enhances existing methods to control and learn muscle-actuated motion, quantifies the control effort needed to perform certain movements and demonstrates that the inherent stability of the muscle dynamics facilitates the learning task. The models, control strategies, and experimental data presented in this work aid researchers in science and industry to improve their predictions in various fields such as neuroscience, ergonomics, rehabilitation, passive safety systems, and robotics. This allows us to reverse-engineer how we as humans control movement, uncovering the complex relationship between musculoskeletal dynamics and neural controller.Item Open Access Soft materials for acoustic applications(2022) Choi, Eunjin; Fischer, Peer (Prof. Dr.)Ultrasound finds wide application in imaging and testing because ultrasound can penetrate tissue and is benign. Gaseous microbubbles strongly scatter ultrasound and are therefore used as contrast agents. Ultrasound responsive materials can be used for many industrial and biomedical applications. Ultrasound can also be used to exert forces and manipulate particles solution and biological cells. In this thesis, material systems are developed for three application areas: 1) models of human organs for the quantitative evaluation of surgical procedures with ultrasound; 2) the fabrication of soft objects by assembling polymeric particles with ultrasound and the acoustic hologram; and 3) the characterization of antibubbles as novel contrast agents that can carry a fluid load. Organ phantoms serve as tools in medical fields to train and plan medical procedures. However, current organ phantoms miss important features or are not realistic. Current models tend to possess a Young’s modulus that is much higher than that of tissue. Furthermore, many of the current models do not show the correct contrast in a medical imaging setting. This thesis presents high fidelity organ phantoms that possess the correct elasticity, compliance, optical appearance, and correct ultrasound contrast. One model is developed for cystoscopy (CY) of the bladder. Another phantom for the transurethral resection of the prostate (TURP). The quality of the phantoms is validated by medical practitioners. For CY, the execution time of the medical practitioners is recorded to completely map the inside of the bladder phantom while localizing tumor models that have been embedded in the bladder wall. For TURP, the quality of the resection is compared with ultrasound imaging before and after the surgical simulation. Parameters are defined to quantify the success of the procedure. The phantoms developed as part of this thesis have received high satisfaction scores from medical practitioners. The parameters reflect the experience of the surgeons. In assembling soft matter, one challenge is that existing 3D printing methods are slow. In contrast, the use of ultrasound patterns shaped with a recently invented acoustic hologram allows objects to be built at once. In this thesis, polydimethylsiloxane (PDMS) particles have been assembled into two-dimensional shapes with ultrasound. To fix the assembly, the PDMS has been physically functionalized with an initiator using swelling. Suitable swelling solutions have been determined based on their solubility. The stability of the physisorbed initiators is evaluated, and the functionalized PDMS particles are fixed via photopolymerization after assembly in aqueous polyethylene glycol dimethacrylate (PEG-DMA) solutions. The fabrication steps can be repeated to increase the thickness of structures that are mechanically stable. The antibubble is an emerging ultrasound contrast agent. It has an inverse form to a conventional bubble in that a substance in the core is surrounded by a gaseous layer. The antibubble is acoustically responsive and, compared to conventional microbubbles, can carry a much greater load. In this thesis, the structure of antibubbles is examined. In particular, the volume of the load is quantified, and the amount of gas per bubble is estimated. The stability of the core substance against diffusion is investigated and shown to be stable for over 11 h.Item Open Access Kinetic modelling of cyclohexane oxidation with the PAH precursor formation(2019) Abbasi, Mehdi; Riedel, Uwe (Prof. Dr. rer. nat.)Ein semi-detaillierter Reaktionsmechanismus für Cyclohexan (cyC6H12) wurde entwickelt, um die Oxidation von cyC6H12 bei hohen- und niedrigen Temperaturen, einschließlich der Bildung von polyzyklischen aromatischen Kohlenwasserstoffen (PAK) zu untersuchen. Dies ist eine beachtliche Aktualisierung früher entwickelter Modelle, mit dem Ziel ein optimales Surrogat-Modell für Kerosin zu entwickeln, die ein Teil eines großen Forschungsbereichs im Institut für Verbrennungstechnik (VT) des Deutschen Zentrums für Luft- und Raumfahrt e. V. (DLR) sind. Das neue Cyclohexanmodell basiert auf den neusten Forschungen im Bereich der C0-C3 Kinetik und schließt ein PAK-Teilmodell ein, das Moleküle mit bis zu fünf aromatischen Ringen beinhaltet. Verbesserungen wurden durch eine Überarbeitung der Hauptreaktionsklassen, Bewertung der Unsicherheitsgrenzen der Reaktionsgeschwindigkeitskoeffizienten und durch eine Erweiterung der Niedertemperaturoxidationskinetik durch neue Reaktionspfade, insbesondere der Cyclohexenylperoxybildung und der Isomerisierung der zyklischen Hydro-peroxy-Peroxykohlenwasserstoffradikale, erreicht. Für die Hauptreaktionsklassen wurden die Unsicherheitsgrenzen der Geschwindigkeitskoeffizienten bewertet. Die Berechnungen der thermodynamischen Eigenschaften, wie Standardbildungsenthalpie, Entropie und Wärmekapazität für die Hauptspezies der Verbrennung von Cyclohexan wurden mit der Benson Gruppenadditivitätsmethode durchgeführt. Die Eigenschaften von 17 neuen Benson-Gruppen und 8 Ringkorrekturfaktoren für zyklische Substanzen wurden durch verschiedene empirische und halbempirische Methoden abgeschätzt. Die Berechnungs-methoden und die Eigenschaften der neu abgeschätzten Gruppen wurden durch Vergleich mit Literaturdaten für gut untersuchte Substanzen und für Cyclohexanzerfallsprodukte, die auch in anderen Cyclohexanreaktionsmechanismen vorkommen, validiert. Die erhaltenen Eigen-schaften wurden im NASA-Polynom Format angegeben. Die wichtigsten Parameter der Transporteigenschaften der Zwischenprodukte wurden untersucht und durch Anwendung von Additivitätsregeln und Strukturähnlichkeitsansätzen berechnet. Der Cyclohexanmechanismus wurde an Zündverzugszeitdaten einer Rapid Compression Machine (RCM) und von Stoßrohrexperimenten (ST), an laminaren Flammengeschwindig-keitsdaten, sowie Konzentrationsprofilen von brennerstabilisierten Flammen erfolgreich optimiert und validiert. Das entwickelte Modell reproduziert realistisches Verbrennungs-verhalten in allen getesteten Bedingungen und kann für Cyclohexanoxidationsstudien benutzt werden. Die Existenz des Bereichs mit negativen Temperaturkoeffizienten (NTC) in der Cyclohexan (cyC6H12) Oxidation wurde ebenfalls untersucht. Ein deutliches NTC-Verhalten, das in RCM Experimenten beobachtet wurde, konnte durch Simulationen mit dem jetzigen Modell nicht erhalten werden. Jedoch wurde eine generelle Übereinstimmung mit den Daten der RCM Experimente erreicht. Das ist auch in Übereinstimmung mit anderen ST-Messungen, bei denen auch keine NTC-Zone bei niedrigen Temperaturen beobachtet wurde. Die durchgeführten Simulationen mit anderen bereits veröffentlichten Modellen verdeutlichen, dass sie nicht in der Lage waren die ST-Daten genau zu reproduzieren, obwohl sie die NTC-Zone von RCM Daten gut beschreiben können. Es wurde auch gezeigt, dass über das gesamte Temperaturintervall die cyC6H12 Oxidationschemie durch die Konkurrenz zwischen drei Hauptreaktionspfaden kontrolliert wird. Anstatt eines NTC-Verhalten, hat die Temperaturabhängigkeit der Zündung von Cyclohexan einen Bereich mit allmählichen Änderungen (RGC), d.h. einen schrittweisen Übergang zwischen zwei verschiedenen konkurrierenden Reaktionsschemata der Gesamtreaktivität, der in einem Temperaturbereich von 800 K < T < 1100 K stattfindet. Das entwickelte Modell beschreibt ebenfalls erfolgreich die laminaren Flammengeschwindigkeitsdaten, sowie Speziesprofile aus stabilisierten vorgemischten Flammen. Es sollte auch angemerkt werden, dass bei T < 1600 K, die sequenzielle Dehydrierung (Cascade Dehydrogenation) von Cyclohexan der Hauptreaktionspfad für die Bildung der Aromaten ist. Bei höheren Temperaturen wird dieser Verlauf hauptsächlich durch Rekombination von Propargylradikalen kontrolliert.