620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Refine
Departments, institutes and facilities
- Fachbereich Ingenieurwissenschaften und Kommunikation (50)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (35)
- Fachbereich Angewandte Naturwissenschaften (13)
- Fachbereich Informatik (10)
- Institut für Sicherheitsforschung (ISF) (4)
- Institut für Detektionstechnologien (IDT) (1)
- Institute of Visual Computing (IVC) (1)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (1)
Document Type
- Article (119) (remove)
Year of publication
Keywords
- modeling of complex systems (3)
- Hydrogen storage (2)
- Lattice Boltzmann Method (2)
- Molecular simulation (2)
- Nickel-based superalloy (2)
- Optimization (2)
- accelerometer (2)
- applications (2)
- gas transport networks (2)
- globally convergent solvers (2)
The lattice Boltzmann method (LBM) stands apart from conventional macroscopic approaches due to its low numerical dissipation and reduced computational cost, attributed to a simple streaming and local collision step. While this property makes the method particularly attractive for applications such as direct noise computation, it also renders the method highly susceptible to instabilities. A vast body of literature exists on stability-enhancing techniques, which can be categorized into selective filtering, regularized LBM, and multi-relaxation time (MRT) models. Although each technique bolsters stability by adding numerical dissipation, they act on different modes. Consequently, there is not a universal scheme optimally suited for a wide range of different flows. The reason for this lies in the static nature of these methods; they cannot adapt to local or global flow features. Still, adaptive filtering using a shear sensor constitutes an exception to this. For this reason, we developed a novel collision operator that uses space- and time-variant collision rates associated with the bulk viscosity. These rates are optimized by a physically informed neural net. In this study, the training data consists of a time series of different instances of a 2D barotropic vortex solution, obtained from a high-order Navier–Stokes solver that embodies desirable numerical features. For this specific text case our results demonstrate that the relaxation times adapt to the local flow and show a dependence on the velocity field. Furthermore, the novel collision operator demonstrates a better stability-to-precision ratio and outperforms conventional techniques that use an empirical constant for the bulk viscosity.
A Fourier scatterometry setup is evaluated to recover the key parameters of optical phase gratings. Based on these parameters, systematic errors in the printing process of two-photon polymerization (TPP) gray-scale lithography three-dimensional printers can be compensated, namely tilt and curvature deviations. The proposed setup is significantly cheaper than a confocal microscope, which is usually used to determine calibration parameters for compensation of the TPP printing process. The grating parameters recovered this way are compared to those obtained with a confocal microscope. A clear correlation between confocal and scatterometric measurements is first shown for structures containing either tilt or curvature. The correlation is also shown for structures containing a mixture of tilt and curvature errors (squared Pearson coefficient r2 = 0.92). This compensation method is demonstrated on a TPP printer: a diffractive optical element printed with correction parameters obtained from Fourier scatterometry shows a significant reduction in noise as compared to the uncompensated system. This verifies the successful reduction of tilt and curvature errors. Further improvements of the method are proposed, which may enable the measurements to become more precise than confocal measurements in the future, since scatterometry is not affected by the diffraction limit.
This paper presents a novel approach to address noise, vibration, and harshness (NVH) issues in electrically assisted bicycles (e-bikes) caused by the drive unit. By investigating and optimising the structural dynamics during early product development, NVH can decisively be improved and valuable resources can be saved, emphasising its significance for enhancing riding performance. The paper offers a comprehensive analysis of the e-bike drive unit’s mechanical interactions among relevant components, culminating—to the best of our knowledge—in the development of the first high-fidelity model of an entire e-bike drive unit. The proposed model uses the principles of elastic multi body dynamics (eMBD) to elucidate the structural dynamics in dynamic-transient calculations. Comparing power spectra between measured and simulated motion variables validates the chosen model assumptions. The measurements of physical samples utilise accelerometers, contactless laser Doppler vibrometry (LDV) and various test arrangements, which are replicated in simulations and provide accessibility to measure vibrations onto rotating shafts and stationary structures. In summary, this integrated system-level approach can serve as a viable starting point for comprehending and managing the NVH behaviour of e-bikes.
Stably stratified Taylor–Green vortex simulations are performed by lattice Boltzmann methods (LBM) and compared to other recent works using Navier–Stokes solvers. The density variation is modeled with a separate distribution function in addition to the particle distribution function modeling the flow physics. Different stencils, forcing schemes, and collision models are tested and assessed. The overall agreement of the lattice Boltzmann solutions with reference solutions from other works is very good, even when no explicit subgrid model is used, but the quality depends on the LBM setup. Although the LBM forcing scheme is not decisive for the quality of the solution, the choice of the collision model and of the stencil are crucial for adequate solutions in underresolved conditions. The LBM simulations confirm the suppression of vertical flow motion for decreasing initial Froude numbers. To gain further insight into buoyancy effects, energy decay, dissipation rates, and flux coefficients are evaluated using the LBM model for various Froude numbers.
Trends of environmental awareness, combined with a focus on personal fitness and health, motivate many people to switch from cars and public transport to micromobility solutions, namely bicycles, electric bicycles, cargo bikes, or scooters. To accommodate urban planning for these changes, cities and communities need to know how many micromobility vehicles are on the road. In a previous work, we proposed a concept for a compact, mobile, and energy-efficient system to classify and count micromobility vehicles utilizing uncooled long-wave infrared (LWIR) image sensors and a neuromorphic co-processor. In this work, we elaborate on this concept by focusing on the feature extraction process with the goal to increase the classification accuracy. We demonstrate that even with a reduced feature list compared with our early concept, we manage to increase the detection precision to more than 90%. This is achieved by reducing the images of 160 × 120 pixels to only 12 × 18 pixels and combining them with contour moments to a feature vector of only 247 bytes.
Alkaline methanol oxidation is an important electrochemical process in the design of efficient fuel cells. Typically, a system of ordinary differential equations is used to model the kinetics of this process. The fitting of the parameters of the underlying mathematical model is performed on the basis of different types of experiments, characterizing the fuel cell. In this paper, we describe generic methods for creation of a mathematical model of electrochemical kinetics from a given reaction network, as well as for identification of parameters of this model. We also describe methods for model reduction, based on a combination of steady-state and dynamical descriptions of the process. The methods are tested on a range of experiments, including different concentrations of the reagents and different voltage range.
The general method of topological reduction for the network problems is presented on example of gas transport networks. The method is based on a contraction of series, parallel and tree-like subgraphs for the element equations of quadratic, power law and general monotone dependencies. The method allows to reduce significantly the complexity of the graph and to accelerate the solution procedure for stationary network problems. The method has been tested on a large set of realistic network scenarios. Possible extensions of the method have been described, including triangulated element equations, continuation of the equations at infinity, providing uniqueness of solution, a choice of Newtonian stabilizer for nearly degenerated systems. The method is applicable for various sectors in the field of energetics, including gas networks, water networks, electric networks, as well as for coupling of different sectors.
Die Untersuchungen zum vorliegenden Beitrag wurden im Rahmen des deutsch-französischen Gemeinschaftsprojektes "Entwicklung von Manganknollenabbau- und Gewinnungsverfahren" durchgeführt. Auf deutscher Seite waren die Unternehmen PREUSSAG AG, Abteilung Meerestechnik in Hannover, die Versuchsanstalt für Wasser- und Schiffbau in Berlin, das Institut für Förderwesen der TH Karlsruhe, das Institut für Strömungsmechanik der Universität GH Paderborn und das Institut für Konstruktion der Universität GH Siegen beteiligt. Im zuletzt genannten Institut wurden elektrohydraulische Antriebe für Versuchsprototypen von geschleppten Manganknollenkollektoren und deren Steuerungen ausgelegt und auf ihre Einsatzfähigkeit im Tiefsee-Simulator getestet.
Der vorliegende Beitrag befaßt sich mit Automatisierungsmöglichkeiten in Textilbetrieben für konventionelle als auch für nichtkonventionelle Spinnverfahren. Aus der Vielzahl derzeit existenter Produktionsschritte werden die standardisierbaren Automatisierungskombinationen zwischen den eingesetzten Textilmaschinen von Karden bis zu Spinnautomaten herausgearbeitet. Hierfür werden die heute in der Praxis befindlichen Transportmittel aufgezeigt und, vom Materialfluß ausgehend, die Zuordnungsmöglichkeiten der Maschinen in den Produktionsschritten und deren Automatisierungsbausteine definiert. Durch eine ganzheitliche Betrachtungsweise werden je nach Automatisierungsziel die verschiedenen Lösungsansätze diskutiert und als Bausteine gegenübergestellt. Hierdurch werden neue mechatronische Automatisierungslösungen vorgestellt, die eine Integration von Produktionsschritten oder die Automatisierung zwischen den einzelnen Produktionsschritten ermöglicht.
Yams of the most widely differing nature are produced in textile mills. The production stages necessary for this are carried out with the aid of textile machines. Between these individual textile machines - from cards to spinning machines - sliver cans serve as a rule as transport containers, in which the sensitive sliver material is temporarily stored, and presented to the next production stage.
Mathematische Modellbildung zur Befahrbarkeitssimulation einer mobilen Tiefsee-Arbeitsmaschine
(1988)
Die Forderung nach dem systematischen Gewinnen von Tiefsee-Erzen, wie beispielsweise Manganknollen, mit selbstfahrenden Arbeitsmaschinen führt auf das schwierige Problem der Befahrbarkeit (Traffikabilität) des Tiefseebodens. Im vorliegenden Beitrag wird ein mathematisches Modell zur Befahrbarkeitssimulation einer ferngesteuerten Sammelmaschine vorgestellt. Am Beispiel eines, als Konstruktionsentwurf spezifizierten, aktiven Manganknollenkollektors im großtechnischen Maßstab werden die Modellannahmen und Voraussetzungen für den zugrundeliegenden Tiefseeboden, das Fahrwerk und die betrachteten Betriebszustände und Lastsituationen beschrieben. Mit Hilfe eines koordinatentransformierten Kräftesystems werden die Wechselbeziehungen zwischen Tiefseeboden und einem Vierraupen-Fahrwerk in einem Algorithmus zusammengefaßt. Als Anwendungsbeispiele werden mittels EDV-Programmierung interessierende Betriebszustände und Lastsituationen simuliert. Abschließend werden weitere Modellvarianten aufgezeigt.
The utilization of simulation procedures is gaining increasing attention in the product development of extrusion blow molded parts. However, some simulation steps, like the simulation of shrinkage and warpage, are still associated with uncertainties. The reason for this is on the one hand a lack of standardized interfaces for the transfer of simulation data between different simulation tools, and on the other hand the complex time-, temperature- and process-dependent material behavior of the used semi crystalline polymers. Using a new vendor neutral interface standard for the data transfer, the shrinkage analysis of a simple blow molded part is investigated and compared to experimental data. A linear viscoelastic material model in combination with an orthotropic process- and temperature-dependent thermal expansion coefficient is used for the shrinkage prediction. A good agreement is observed. Finally, critical parameters in the simulation models that strongly influence the shrinkage analysis are identified by a sensitivity study.
Jet engines of airplanes are designed such that in some components damage occurs and accumulates in service without being critical up to a certain level of damage. Since maintenance, repair, and component exchange are very cost-intensive, it is necessary to predict efficiently the component lifetime with high accuracy. A former developed lifetime model, based on interpolated results of aerodynamic and structural mechanics simulations, uses material parameters estimated from literature values of standard creep experiments. For improved accuracy, an experimental procedure is developed for the characterization of the short-time creep behavior, which is relevant for the operation of turbine blades of jet engines. To consider microstructural influences resulting from the manufacturing of thin-walled single crystal turbine blades, small-scale specimens from used turbine blades are extracted and tested in short- and medium-time creep experiments. Based on experimental results and literature values, a creep model, which describes the fracture behavior for a wide range of creep loads, is calibrated and is now used for the lifetime prediction of turbine blades under real loading conditions.
Currently, there are a lot of research activities dealing with gamma titanium aluminide (γ-TiAl) alloys as new materials for low pressure turbine (LPT) blades. Even though the scatter in mechanical properties of such intermetallic alloys is more distinctive as in conventional metallic alloys, stochastic investigations on γ -TiAl alloys are very rare. For this reason, we analyzed the scatter in static and dynamic mechanical properties of the cast alloy Ti-48Al-2Cr-2Nb. It was found that this alloy shows a size effect in strength which is less pronounced than the size effect of brittle materials. A weakest-link approach is enhanced for describing a scalable size effect under multiaxial stress states and implemented in a post processing tool for reliability analysis of real components. The presented approach is a first applicable reliability model for semi-brittle materials. The developed reliability tool was integrated into a multidisciplinary optimization of the geometry of a LPT blade. Some processes of the optimization were distributed in a wide area network, so that specialized tools for each discipline could be employed. The optimization results show that it is possible to increase the aerodynamic efficiency and the structural mechanics reliability at the same time, while ensuring the blade can be manufactured in an investment casting process.