Refine
Year of publication
Institute
- Fachbereich Medizintechnik und Technomathematik (1928)
- Fachbereich Elektrotechnik und Informationstechnik (1150)
- Fachbereich Wirtschaftswissenschaften (1119)
- Fachbereich Energietechnik (1066)
- Fachbereich Chemie und Biotechnologie (892)
- Fachbereich Maschinenbau und Mechatronik (801)
- Fachbereich Luft- und Raumfahrttechnik (769)
- Fachbereich Bauingenieurwesen (664)
- IfB - Institut für Bioengineering (627)
- INB - Institut für Nano- und Biotechnologien (585)
Has Fulltext
- no (9284) (remove)
Language
Document Type
- Article (5518)
- Conference Proceeding (1413)
- Book (1057)
- Part of a Book (555)
- Patent (174)
- Bachelor Thesis (169)
- Report (82)
- Doctoral Thesis (79)
- Conference: Meeting Abstract (75)
- Other (67)
Keywords
- Illustration (10)
- Nachhaltigkeit (10)
- Corporate Design (9)
- Erscheinungsbild (8)
- Gamification (8)
- Redesign (7)
- Animation (6)
- Datenschutz (6)
- Deutschland (6)
- Digitalisierung (6)
Die Ausbildung von Biofilmen in technischen Anlagen, wie z. B. Kühlkreisläufen, Wasseraufbereitungssystemen und Bioreaktoren, führen zu Materialschäden (Biofouling) und stark erhöhtem Energieaufwand. Im Rahmen der aktuellen Forschungsarbeiten erfolgen aktive sowie passive Bio-Modifikationen auf funktionalisierten magnetischen Mikropartikelober-flächen. Um die verschiedenen funktionalisierten magnetischen Mikropartikel zu analysieren und ihre antimikrobielle Wirkung zu testen, wird der Einsatz einer 3D-gedruckten, magnetischen Plattform für ein Fluoreszenz-basiertes Screening-System untersucht. Für den Oberflächenschutz wurden verschiedene, antimikrobiell funktionalisierte Partikelkombinationen mit dem Mikroorganismus Escherichia coli GFPmut2 in Bezug auf aktiven Oberflächenschutz verglichen. Um die antimikrobielle Oberflächeneffekte von synergistischen Kombinationen unterschiedlich funktionalisierter Partikel zu bestimmen, werden Oberflächen einem Magnetfeld ausgesetzt, das die Mikropartikel als definierte Schicht auf ihnen zurück hält. Diese modifizierten Oberflächen können sowohl durch Fluoreszenzspektroskopie als auch -mikroskopie analysiert werden.
Auch in der allgemeinen Luftfahrt wäre es wünschenswert, die bereits vorhandenen Verbrennungsmotoren mit weniger CO₂-trächtigen Kraftstoffen als dem heute weit verbreiteten Avgas 100LL betreiben zu können. Es ist anzunehmen, dass im Vergleich die unter Normalbedingungen gasförmigen Kraftstoffe CNG, LPG oder LNG deutlich weniger Emissionen produzieren. Erforderliche Antriebssystemanpassungen wurden im Rahmen eines Forschungsprojekts an der FH Aachen untersucht.
Anwendung des Haustürgeschäftewiderrufsgesetzes unter Angehörigen (BGH, Urteil vom 17.09.1996)
(1997)
Anwendung moderner Simulationstools für die Entwicklung eines elektromagnetischen Ventilaktuators
(1998)
Anwendung von AlN- bzw. AlN-Al2O3-Mischungen als Festelektrolyt in Eisenschmelzen bei 1640° C
(1977)
Anwendung von GFK in Japan.
(2005)
Anwendungsmoeglichkeiten von Schweissrobotern und automatisierten Schweisssystemen im Schiffbau
(1982)
Durch die Urbanisierung, wird es in Städten immer enger und der Verkehr nimmt zu. Das hat hohe Emissionen und Platzmangel zur Folge. In der Masterarbeit wurde die Abhängigkeit zum Auto in der Stadt hinterfragt und ein Konzept erarbeitet, welches die Autonutzung und den Autobesitz ablöst. Dabei entstand ein neuer Fahrradanhänger, der eine multifunktionale Nutzung zulässt und einen elektrischen Antrieb besitzt. Dadurch bietet er einen komfortablen Support im Alltag. Zudem wurde ein Geschäftskonzept entwickelt, welches ermöglicht, den Anhänger mit einem digitalen Ausleihsystem unter Nachbarn oder Freunden zu teilen. Ein wichtiges Kriterium für das Produkt und den Service war, dass die Mobilität der Zukunft nicht nur nachhaltig sein soll, sondern auch Laune machen muss.
Application of a (bio-)chemical sensor (ISFET) for the detection of physical parameters in liquids
(2003)
Multi-analyte biosensors may offer the opportunity to perform cost-effective and rapid analysis with reduced sample volume, as compared to electrochemical biosensing of each analyte individually. This work describes the development of an enzyme-based biosensor system for multi-parametric determination of four different organic acids. The biosensor array comprises five working electrodes for simultaneous sensing of ethanol, formate, d-lactate, and l-lactate, and an integrated counter electrode. Storage stability of the biosensor was evaluated under different conditions (stored at +4 °C in buffer solution and dry at −21 °C, +4 °C, and room temperature) over a period of 140 days. After repeated and regular application, the individual sensing electrodes exhibited the best stability when stored at −21 °C. Furthermore, measurements in silage samples (maize and sugarcane silage) were conducted with the portable biosensor system. Comparison with a conventional photometric technique demonstrated successful employment for rapid monitoring of complex media.
The chemical imaging sensor was applied to in-situ pH imaging of the solution in the vicinity of a corroding surface of stainless steel under potentiostatic polarization. A test piece of polished stainless steel was placed on the sensing surface leaving a narrow gap filled with artificial seawater and the stainless steel was corroded under polarization. The pH images obtained during polarization showed correspondence between the region of lower pH and the site of corrosion. It was also found that the pH value in the gap became as low as 2 by polarization, which triggered corrosion.
Prolonged operations close to small solar system bodies require a sophisticated control logic to minimize propellant mass and maximize operational efficiency. A control logic based on Discrete Mechanics and Optimal Control (DMOC) is proposed and applied to both conventionally propelled and solar sail spacecraft operating at an arbitrarily shaped asteroid in the class of Itokawa. As an example, stand-off inertial hovering is considered, recently identified as a challenging part of the Marco Polo mission. The approach is easily extended to stand-off orbits. We show that DMOC is applicable to spacecraft control at small objects, in particular with regard to the fact that the changes in gravity are exploited by the algorithm to optimally control the spacecraft position. Furthermore, we provide some remarks on promising developments.
The use of transgenic animal models has transformed our knowledge of complex biochemical pathways in vivo. It has allowed disease processes to be modelled and used in the development of new disease prevention and treatment strategies. They can also be used to define cell- and tissue-specific pathways of gene regulation. A further major application is in the area of preclinical development where such models can be used to define pathways of chemical toxicity, and the pathways that regulate drug disposition. One major application of this approach is the humanisation of mice for the proteins that control drug metabolism and disposition. Such models can have numerous applications in the development of drugs and in their more sophisticated use in the clinic.
Application of Low NOx Micro-mix Hydrogen Combustion to 2MW Class Industrial Gas Turbine Combustor
(2019)
Application of polymers in textile reinforced concrete : from the interface to construction elements
(2006)
Non-intrusive measuring techniques have attained a lot of interest in relation to both hydraulic modeling and prototype applications. Complimenting acoustic techniques, significant progress has been made for the development of new optical methods. Computer vision techniques can help to extract new information, e. g. high-resolution velocity and depth data, from videos captured with relatively inexpensive, consumer-grade cameras. Depth cameras are sensors providing information on the distance between the camera and observed features. Currently, sensors with different working principles are available. Stereoscopic systems reference physical image features (passive system) from two perspectives; in order to enhance the number of features and improve the results, a sensor may also estimate the disparity from a detected light to its original projection (active stereo system). In the current study, the RGB-D camera Intel RealSense D435, working on such stereo vision principle, is used in different, typical hydraulic modeling applications. All tests have been conducted at the Utah Water Research Laboratory. This paper will demonstrate the performance and limitations of the RGB-D sensor, installed as a single camera and as camera arrays, applied to 1) detect the free surface for highly turbulent, aerated hydraulic jumps, for free-falling jets and for an energy dissipation basin downstream of a labyrinth weir and 2) to monitor local scours upstream and downstream of a Piano Key Weir. It is intended to share the authors’ experiences with respect to camera settings, calibration, lightning conditions and other requirements in order to promote this useful, easily accessible device. Results will be compared to data from classical instrumentation and the literature. It will be shown that even in difficult application, e. g. the detection of a highly turbulent, fluctuating free-surface, the RGB-D sensor may yield similar accuracy as classical, intrusive probes.
In this paper, the use of reinforcement learning (RL) in control systems is investigated using a rotatory inverted pendulum as an example. The control behavior of an RL controller is compared to that of traditional LQR and MPC controllers. This is done by evaluating their behavior under optimal conditions, their disturbance behavior, their robustness and their development process. All the investigated controllers are developed using MATLAB and the Simulink simulation environment and later deployed to a real pendulum model powered by a Raspberry Pi. The RL algorithm used is Proximal Policy Optimization (PPO). The LQR controller exhibits an easy development process, an average to good control behavior and average to good robustness. A linear MPC controller could show excellent results under optimal operating conditions. However, when subjected to disturbances or deviations from the equilibrium point, it showed poor performance and sometimes instable behavior. Employing a nonlinear MPC Controller in real time was not possible due to the high computational effort involved. The RL controller exhibits by far the most versatile and robust control behavior. When operated in the simulation environment, it achieved a high control accuracy. When employed in the real system, however, it only shows average accuracy and a significantly greater performance loss compared to the simulation than the traditional controllers. With MATLAB, it is not yet possible to directly post-train the RL controller on the Raspberry Pi, which is an obstacle to the practical application of RL in a prototyping or teaching setting. Nevertheless, RL in general proves to be a flexible and powerful control method, which is well suited for complex or nonlinear systems where traditional controllers struggle.