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Die Arbeit widmet sich der Ursprungsanalyse des Fahrer:innenmangels und präsentiert einen Lösungsansatz durch die Entwicklung einer neu gestalteten Fahrkabine für Lastkraftwagen. Hierbei berücksichtigt das Projekt sowohl die Bedürfnisse der Fahrer:innen als auch die Anforderungen der Unternehmer:innen, um den Anforderungen der zukünftigen Generation gerecht zu werden. Die Rolle der Berufskraftfahrer:innen wird sich wandeln, wobei die Aufgaben über das reine Führen eines Fahrzeugs hinausgehen. Diese Veränderungen erfordern auch Anpassungen an der Arbeitsumgebung, insbesondere an der Fahrkabine, um das Arbeiten, Wohnen und Schlafen auf begrenztem Raum zu ermöglichen. Möglich durch neue Technologien, Richtlinien und neue Herangehensweisen geht der „SOLODRIVER“ in den Themen Design und Raumnutzung neue Wege und zeigt damit was in Zukunft möglich ist.
Invisible Cities
(2024)
Diese Arbeit präsentiert eine Neuinterpretation des Romans "Invisible Cities" von Italo Calvino in einem handgefertigten, künstlerischen Buchobjekt. Seit der Erstveröffentlichung des italienischen Literaturklassikers orientieren sich jegliche Neuauflagen an der Originalfassung. Die klassisch gestaltete Urversion wird der komplexen und eindrucksvollen Geschichte nicht mehr gerecht. Die Erzählung findet auf mehreren Ebenen statt, die durch verschiedene Papiersorten repräsentiert werden. Die Lesenden wissen somit immer, wo sie sich auf ihrer Reise durch die traumhaften und surrealen Städte befinden. Das Buch enthält mehrere Illustrationen auf Transparentpapierbögen, welche die Stadtbeschreibungen begleiten. Der besondere Fokus der Arbeit lag in den Illustrationen und der technischen und handwerklichen Umsetzung der Bindung.
Die Erfindung liegt auf dem Gebiet der Enzymtechnologie. Die Erfindung betrifft Proteasen aus Fictibacillus arsenicus, die insbesondere im Hinblick auf den Einsatz in Wasch- und Reinigungsmitteln verwendet werden können, alle hinreichend ähnlichen Proteasen mit einer entsprechend ähnlichen Sequenz zu SEQ ID NO:1 und für sie codierende Nukleinsäuren. Die Erfindung betrifft ferner deren Herstellung sowie Verfahren zur Verwendung dieser Proteasen, deren Verwendung als solche sowie diese enthaltende Mittel, insbesondere Wasch- und Reinigungsmittel.
Die Erfindung liegt auf dem Gebiet der Enzymtechnologie. Die Erfindung betrifft Proteasen aus Metabacillus indicus, die insbesondere im Hinblick auf den Einsatz in Wasch- und Reinigungsmitteln verwendet werden können, alle hinreichend ähnlichen Proteasen mit einer entsprechend ähnlichen Sequenz zu SEQ ID NO:1 und für sie codierende Nukleinsäuren. Die Erfindung betrifft ferner deren Herstellung sowie Verfahren zur Verwendung dieser Proteasen, deren Verwendung als solche sowie diese enthaltende Mittel, insbesondere Wasch- und Reinigungsmittel.
06| Warum es gemeinsam besser geht
10| Interview
14| Wer ist hier der Boss?
18| Schnittstelle zwischen Mensch und Technik
22| Zweite Heimat Jülich
28| Zwischen Angst und Hoffnung
32| Eine Sternstunde für die FH Aachen
36| Gegen alle Widerstände
38| Ein Ort, der bleibt
42| Der Aufblühende
46| Der Computer sitzt am Steuer
52| Da geht das Herz auf
54| Hoch hinaus
58| Beratungsangebote
60| Das alte Schätzchen
This thesis aims at the presentation and discussion of well-accepted and new
imaging techniques applied to different types of flow in common hydraulic
engineering environments. All studies are conducted in laboratory conditions and
focus on flow depth and velocity measurements. Investigated flows cover a wide
range of complexity, e.g. propagation of waves, dam-break flows, slightly and fully
aerated spillway flows as well as highly turbulent hydraulic jumps.
Newimagingmethods are compared to different types of sensorswhich are frequently
employed in contemporary laboratory studies. This classical instrumentation as well
as the general concept of hydraulic modeling is introduced to give an overview on
experimental methods.
Flow depths are commonly measured by means of ultrasonic sensors, also known as
acoustic displacement sensors. These sensors may provide accurate data with high
sample rates in case of simple flow conditions, e.g. low-turbulent clear water flows.
However, with increasing turbulence, higher uncertainty must be considered.
Moreover, ultrasonic sensors can provide point data only, while the relatively large
acoustic beam footprint may lead to another source of uncertainty in case of
relatively short, highly turbulent surface fluctuations (ripples) or free-surface
air-water flows. Analysis of turbulent length and time scales of surface fluctuations
from point measurements is also difficult. Imaging techniques with different
dimensionality, however, may close this gap. It is shown in this thesis that edge
detection methods (known from computer vision) may be used for two-dimensional
free-surface extraction (i.e. from images taken through transparant sidewalls in
laboratory flumes). Another opportunity in hydraulic laboratory studies comes with
the application of stereo vision. Low-cost RGB-D sensors can be used to gather
instantaneous, three-dimensional free-surface elevations, even in flows with very
high complexity (e.g. aerated hydraulic jumps). It will be shown that the uncertainty
of these methods is of similar order as for classical instruments.
Particle Image Velocimetry (PIV) is a well-accepted and widespread imaging
technique for velocity determination in laboratory conditions. In combination with
high-speed cameras, PIV can give time-resolved velocity fields in 2D/3D or even as
volumetric flow fields. PIV is based on a cross-correlation technique applied to small
subimages of seeded flows. The minimum size of these subimages defines the
maximum spatial resolution of resulting velocity fields. A derivative of PIV for
aerated flows is also available, i.e. the so-called Bubble Image Velocimetry (BIV). This
thesis emphasizes the capacities and limitations of both methods, using relatively
simple setups with halogen and LED illuminations. It will be demonstrated that
PIV/BIV images may also be processed by means of Optical Flow (OF) techniques.
OF is another method originating from the computer vision discipline, based on the
assumption of image brightness conservation within a sequence of images. The
Horn-Schunck approach, which has been first employed to hydraulic engineering
problems in the studies presented herein, yields dense velocity fields, i.e. pixelwise
velocity data. As discussed hereinafter, the accuracy of OF competes well with PIV
for clear-water flows and even improves results (compared to BIV) for aerated flow
conditions. In order to independently benchmark the OF approach, synthetic images
with defined turbulence intensitiy are used.
Computer vision offers new opportunities that may help to improve the
understanding of fluid mechanics and fluid-structure interactions in laboratory
investigations. In prototype environments, it can be employed for obstacle detection
(e.g. identification of potential fish migration corridors) and recognition (e.g. fish
species for monitoring in a fishway) or surface reconstruction (e.g. inspection of
hydraulic structures). It can thus be expected that applications to hydraulic
engineering problems will develop rapidly in near future. Current methods have not
been developed for fluids in motion. Systematic future developments are needed to
improve the results in such difficult conditions.
High aerodynamic efficiency requires propellers with high aspect ratios, while propeller sweep potentially reduces noise. Propeller sweep and high aspect ratios increase elasticity and coupling of structural mechanics and aerodynamics, affecting the propeller performance and noise. Therefore, this paper analyzes the influence of elasticity on forward-swept, backward-swept, and unswept propellers in hover conditions. A reduced-order blade element momentum approach is coupled with a one-dimensional Timoshenko beam theory and Farassat's formulation 1A. The results of the aeroelastic simulation are used as input for the aeroacoustic calculation. The analysis shows that elasticity influences noise radiation because thickness and loading noise respond differently to deformations. In the case of the backward-swept propeller, the location of the maximum sound pressure level shifts forward by 0.5 °, while in the case of the forward-swept propeller, it shifts backward by 0.5 °. Therefore, aeroacoustic optimization requires the consideration of propeller deformation.
Even the shortest flight through unknown, cluttered environments requires reliable local path planning algorithms to avoid unforeseen obstacles. The algorithm must evaluate alternative flight paths and identify the best path if an obstacle blocks its way. Commonly, weighted sums are used here. This work shows that weighted Chebyshev distances and factorial achievement scalarising functions are suitable alternatives to weighted sums if combined with the 3DVFH* local path planning algorithm. Both methods considerably reduce the failure probability of simulated flights in various environments. The standard 3DVFH* uses a weighted sum and has a failure probability of 50% in the test environments. A factorial achievement scalarising function, which minimises the worst combination of two out of four objective functions, reaches a failure probability of 26%; A weighted Chebyshev distance, which optimises the worst objective, has a failure probability of 30%. These results show promise for further enhancements and to support broader applicability.
Ambitious climate targets affect the competitiveness of industries in the international market. To prevent such industries from moving to other countries in the wake of increased climate protection efforts, cost adjustments may become necessary. Their design requires knowledge of country-specific production costs. Here, we present country-specific cost figures for different production routes of steel, paying particular attention to transportation costs. The data can be used in floor price models aiming to assess the competitiveness of different steel production routes in different countries (Rübbelke, 2022).