928 research outputs found

    Proceedings of SIRM 2023 - The 15th European Conference on Rotordynamics

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    It was our great honor and pleasure to host the SIRM Conference after 2003 and 2011 for the third time in Darmstadt. Rotordynamics covers a huge variety of different applications and challenges which are all in the scope of this conference. The conference was opened with a keynote lecture given by Rainer Nordmann, one of the three founders of SIRM “Schwingungen in rotierenden Maschinen”. In total 53 papers passed our strict review process and were presented. This impressively shows that rotordynamics is relevant as ever. These contributions cover a very wide spectrum of session topics: fluid bearings and seals; air foil bearings; magnetic bearings; rotor blade interaction; rotor fluid interactions; unbalance and balancing; vibrations in turbomachines; vibration control; instability; electrical machines; monitoring, identification and diagnosis; advanced numerical tools and nonlinearities as well as general rotordynamics. The international character of the conference has been significantly enhanced by the Scientific Board since the 14th SIRM resulting on one hand in an expanded Scientific Committee which meanwhile consists of 31 members from 13 different European countries and on the other hand in the new name “European Conference on Rotordynamics”. This new international profile has also been emphasized by participants of the 15th SIRM coming from 17 different countries out of three continents. We experienced a vital discussion and dialogue between industry and academia at the conference where roughly one third of the papers were presented by industry and two thirds by academia being an excellent basis to follow a bidirectional transfer what we call xchange at Technical University of Darmstadt. At this point we also want to give our special thanks to the eleven industry sponsors for their great support of the conference. On behalf of the Darmstadt Local Committee I welcome you to read the papers of the 15th SIRM giving you further insight into the topics and presentations

    Spektroskopie individuálních molekul v nanokavitě rastrovacího tunelového mikroskopu

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    Skenovací tunelovou mikroskopií indukovaná luminiscence (STML) v kombinaci s mikroskopií atomárních sil (AFM) s vysokým rozlišením jsou účinným nástrojem pro studium fotofyziky jednotlivých molekulárních chromoforů na čistých površích s atom- ární strukturou. Mechanismus přeměny energie mezi tunelujícími elektrony a vyzářenými fotony v molekulách s nezhybridizovanými stavy nacházejících se v nanokavitě mezi skeno- vací sondou a kovovým vzorkem však není zcela objasněn, neboť závisí na mnoha parame- trech. Tato práce se věnuje rozvoji nových experimentálních přístupů ke studiu těchto sys- témů. Použitelnost hrotů zakončených CO molekulou pro STML jsme ukázali spek- troskopií a prostorovým mapováním intenzity fotonů vyzařovaných zinkovým ftalocya- ninem na substrátu NaCl/kov s rozlišením lepším než nanometr. Ke studiu dynamiky excitonů a náboje v téže molekule v závislosti na přiloženém napětí jsme vyvinuli a ap- likovali metodiku časově rozlišené fázové fluorometrie. Dále jsme studovali vliv prostředí chromoforu na jeho emisní energii a vazebnou energi excitonu. Také jsme u molekul na povrchu jako první pozorovali a objasnili přítomnost molekulárních librací na základě hřebenovitého tvaru emisní čáry, která je výsledkem elektronických přechodů s různými libračními kvantovými čísly a chirální adsorpční...Scanning tunneling microscopy-induced luminescence (STML) combined with high- resolution atomic force microscopy (AFM) is a powerful tool for studying the photophysics of individual molecular emitters on surfaces. However, the mechanism of energy conver- sion between tunneling electrons and photons in decoupled systems placed in a nanocavity of STM is not fully understood as it depends on many variables. This thesis presents a range of proof-of-concept experimental approaches. The vi- ability of CO-terminated tips for STML is demonstrated by performing subnanometer- resolved spectroscopy and mapping of photon intensity acquired over zinc phthalocyanine on NaCl/metal substrate. For the same molecule, time-resolved phase fluorometry is de- vised and is used to reveal the exciton and charge dynamics as a function of the applied bias voltage. Of more fundamental character, the role of the chromophore environment on its exciton emission and binding energy is studied. For the first time, we observed and explained the presence of molecular librations in molecules on the surface from a comb-like emission line resulting from the exciton-libron coupling and the chiral adsorp- tion geometry. Finally, exciton delocalization in molecular aggregates is mapped using the tip nanocavity capable of detecting the dark states,...Matematicko-fyzikální fakultaFaculty of Mathematics and Physic

    Automatic Control and Routing of Marine Vessels

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    Due to the intensive development of the global economy, many problems are constantly emerging connected to the safety of ships’ motion in the context of increasing marine traffic. These problems seem to be especially significant for the further development of marine transportation services, with the need to considerably increase their efficiency and reliability. One of the most commonly used approaches to ensuring safety and efficiency is the wide implementation of various automated systems for guidance and control, including such popular systems as marine autopilots, dynamic positioning systems, speed control systems, automatic routing installations, etc. This Special Issue focuses on various problems related to the analysis, design, modelling, and operation of the aforementioned systems. It covers such actual problems as tracking control, path following control, ship weather routing, course keeping control, control of autonomous underwater vehicles, ship collision avoidance. These problems are investigated using methods such as neural networks, sliding mode control, genetic algorithms, L2-gain approach, optimal damping concept, fuzzy logic and others. This Special Issue is intended to present and discuss significant contemporary problems in the areas of automatic control and the routing of marine vessels

    Rising stars in energy research: 2022

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    Recognising the future leaders of Energy Research is fundamental to safeguarding tomorrow's driving force in innovation. This collection will showcase the high-quality work of internationally recognized researchers in the early stages of their careers. We aim to highlight research by leading scientists of the future across the entire breadth of Energy Research, and present advances in theory, experiment and methodology with applications to compelling problems

    Piezoelectric digital vibration absorbers for vibration mitigation of bladed structures

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    Climate change and resource scarcity pose increasingly difficult challenges for the aviation industry requiring a reduction in fossil fuel consumption. To address these problems and increase the efficiency of aircraft engines, some of their parts are now manufactured in one piece. For example, a rotor of the compressor stage of an airplane engine consist of a drum with a large number of blades and is called BluM. These structures are lightweight and feature low structural damping and high modal density. Their particular dynamic characteristics require sophisticated solutions for vibration mitigation of these structures. This is precisely the starting point of this thesis. Based on a digital realization of piezoelectric shunt circuits, we provide a damping concept that is able to tackle the complex dynamics of bladed structures and to mitigate their vibrations. To this end, multiple digital vibration absorbers (DVAs) are used simultaneously. Two new strategies to tune these DVAs are proposed in the thesis, namely the isolated mode and mean shunt strategies. These strategies not only take advantage of the fact that multiple absorbers act simultaneously on the structure, but they also address the problem of closely-spaced modes. In order to target multiple families of BluM modes, these strategies are incorporated in a multi-stage shunt circuit. The concepts are demonstrated experimentally using two bladed structures with increasing complexity, namely a bladed rail and a BluM. Both methods exhibit excellent damping performances on multiple groups of modes. In addition, they prove robust to changes in the host structure which could, e.g., be due to mistuning. Thanks to their digital realization, DVAs are also easily adjustable. Finally, this thesis reveals the parallel that exists between resonant piezoelectric shunts with a negative capacitance and active positive position feedback (PPF) controllers. Based on this comparison, a new H∞ norm-based tuning rule is found for a PPF controller. It is demonstrated using both numerical and experimental cantilever beams. To this end, a method that accounts for the influence of modes higher in frequency than the targeted one is developed.Le changement climatique et la raréfaction des ressources posent des défis de plus en plus complexes à relever pour l'industrie aéronautique. Un de ces défis est la réduction de la consommation en énergies fossiles. Pour accroître l'efficacité des moteurs d'avion, certains de leurs composants sont désormais fabriqués en une seule pièce. Dans le cas des compresseurs, ces pièces monoblocs sont appelées BluMs et sont constituées d’un tambour avec un grand nombre d'aubes. Ce type de structures bénéficie d'un allègement significatif, ce qui conduit à un faible amortissement structurel. De plus, ces pièces monoblocs présentent une densité modale élevée en raison du nombre important de diamètres nodaux. Ces caractéristiques dynamiques particulières nécessitent des solutions d'amortissement sophistiquées. Cette thèse de doctorat aborde cette problématique. En exploitant le concept d'absorbeur de vibration digital (DVA), nous proposons une nouvelle technique d'amortissement des structures aubagées. Deux nouvelles stratégies d'accordage de ces DVA sont développées dans cette thèse, à savoir la stratégie du mode isolé et la stratégie du shunt moyen. Ces méthodes tirent non seulement parti du fait que plusieurs absorbeurs agissent simultanément sur la structure, mais elles s'attaquent aussi au problème des modes proches en fréquence. Afin de cibler plusieurs familles de modes, ces stratégies ont été incorporées dans un circuit de shunt à plusieurs étages. Les concepts sont testés expérimentalement sur deux structures aubagées de complexité croissante, à savoir un rail à aubes et un BluM comme application finale. Ces méthodes permettent d'obtenir d'excellentes performances d'amortissement sur plusieurs groupes de modes. Elles s'avèrent également robustes face à des variations de la structure, dues par exemple à un désaccordage de celle-ci. Il est à noter que, grâce à leur caractère digital, ces méthodes sont facilement adaptables. Finalement, nous révélons le parallèle qui existe entre les shunts piézoélectriques résonants avec une capacitance négative et le contrôleur actif à rétroaction positive de position (PPF). Sur base de cette comparaison, de nouvelles règles d'accordage basées sur la norme H∞ sont développées pour le contrôleur PPF. Leur efficacité est démontrée à la fois numériquement et expérimentalement sur une poutre encastrée-libre. Dans ce but, une méthode prenant en compte l'influence des modes dont la fréquence est supérieure au mode ciblé a été mise sur pied au moyen de facteurs de correction

    Nonlinear Systems

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    Open Mathematics is a challenging notion for theoretical modeling, technical analysis, and numerical simulation in physics and mathematics, as well as in many other fields, as highly correlated nonlinear phenomena, evolving over a large range of time scales and length scales, control the underlying systems and processes in their spatiotemporal evolution. Indeed, available data, be they physical, biological, or financial, and technologically complex systems and stochastic systems, such as mechanical or electronic devices, can be managed from the same conceptual approach, both analytically and through computer simulation, using effective nonlinear dynamics methods. The aim of this Special Issue is to highlight papers that show the dynamics, control, optimization and applications of nonlinear systems. This has recently become an increasingly popular subject, with impressive growth concerning applications in engineering, economics, biology, and medicine, and can be considered a veritable contribution to the literature. Original papers relating to the objective presented above are especially welcome subjects. Potential topics include, but are not limited to: Stability analysis of discrete and continuous dynamical systems; Nonlinear dynamics in biological complex systems; Stability and stabilization of stochastic systems; Mathematical models in statistics and probability; Synchronization of oscillators and chaotic systems; Optimization methods of complex systems; Reliability modeling and system optimization; Computation and control over networked systems

    Applied Mathematics to Mechanisms and Machines

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    This book brings together all 16 articles published in the Special Issue "Applied Mathematics to Mechanisms and Machines" of the MDPI Mathematics journal, in the section “Engineering Mathematics”. The subject matter covered by these works is varied, but they all have mechanisms as the object of study and mathematics as the basis of the methodology used. In fact, the synthesis, design and optimization of mechanisms, robotics, automotives, maintenance 4.0, machine vibrations, control, biomechanics and medical devices are among the topics covered in this book. This volume may be of interest to all who work in the field of mechanism and machine science and we hope that it will contribute to the development of both mechanical engineering and applied mathematics

    Transmissibility operators for state and output estimation in nonlinear systems

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    Transmissibility operators are mathematical objects that characterize the relationship between two subsets of responses of an underlying system. The importance of transmissiblity operators comes from the fact that these operators are independent on the system inputs. This work develops the transmissibility theory for nonlinear systems for the first time. The system nonlinearities are assumed to be unknown, which gives a wide range of possible engineering applications in different disciplines. Four different methods are developed to deal with these nonlinearities. The first method is by re-constructing the system nonlinearities as independent excitations on the system. This method handles the inherent unmodeled nonlinearities within the system. The second method is by designing a transmissibility-based sliding mode control. This method rejects unwanted nonlinearities such as system faults. The third method is by constructing the system as time-variant linear system, and use recursive least squares to solve it. This method can handle nonlinear systems with time-variant dynamics. The fourth method is by designing a new robust estimation technique called high-gain transmissibility (HGT) that is inspired by high-gain observers. This estimator has the ability to robustly estimate the system states in a high-gain form. The majority of modern fault detection, control systems, and robots localization depend on mathematically estimating the system states and outputs. Transmissibility-based estimation is incorporated in this work with these three theoretical applications. For fault detection, transmissibility operators are used along a set of outputs to estimate the measurements of another set of outputs. Then faults are detected by comparing the estimated and measured outputs with each other. Control approaches use the transmissibility-based estimation to construct the control signal, in which is injected back to the original system. Robots localization fuses the transmissibility-based estimation with real-time sensor measurements to minimize the error in determining the robot displacements. These three theoretical applications are applied on four different systems. The first system is Connected Autonomous Vehicles (CAV) platoons. A CAV platoon is a network of connected autonomous vehicles that communicate together to move in a specific path with the desired velocity. Transmissibilities are proposed along with the measurements from sensors available in CAV platoons to identify transmissibility operators. This will be then developed to mixed autonomous and human-driven vehicle platoons. Besides the wide range of physical and cyber faults in such systems, this is also motivated by the fact that on-road human-drivers’ behaviour is unknown and difficult to be predicted. Transmissibility operators are used here to handle both cyber-physical faults as well as the human-drivers’ behaviour. The platoon faults are then proposed to be mitigated using a transmissibility-based sliding mode controller. Moreover, transmissibilities are integrated with Kalman filter to localize CAV platoons while operating under non-Gaussian environment as unknown nonlinearities. The second system is a multi-actuator micro positioning system that is used in the semi-conductors industry. Transmissibility operators are applied on this system for fault detection and fault-tolerant control. Fault detection is represented in applying the proposed developments to actuator fault detection. Some of the most common actuator faults such as actuator loss of effectiveness and fatigue crack in the connection hinges will be considered. Transmissibilities then will be used for fault detection without knowledge of the dynamics of the system or the excitation that acts on the system. Next, a transmissibility-based sliding mode control will be implemented to mitigate common actuator faults in multi-actuator systems. The third system is flexible structures subjected to unknown and random excitations. Structures used in applications subjected to turbulent fluid flow such as aerospace and underwater applications are subjected to random excitations distributed along the structure. Transmissibility operators are used for the purpose of structural fault detection and localization during the system operation. The fourth system is robotic manipulators with bounded nonlinearities and time-variant parameters. Both parameter variation and system nonlinearities are considered to be unknown. Transmissibility operators are integrated with Recursive Least Squares (RLS) to overcome the unknown variant parameters. RLS identifies transmissibilities used in the structure of noncausal FIR (Finite Impulse Response) models. While parameter variation can be treated as system nonlinearities, the RLS algorithm is used to optimize what time-variant dynamics to include in the transmissibility operator and what dynamics to push to the system nonlinearities over time. The identified transmissibilities are then used for the purpose of fault detection in an experimental robotic arm with variant picked mass
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