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Digitale Mobilfunksysteme
(2013)
Im Rahmen von Forschungsvorhaben des BMBF und verschiedener Industriepartner betreibt der Lehrstuhl für Wärmeübertragung und Klimatechnik der RWTH Aachen Pilotanlagen und Prüfstände für Untersuchungen auf dem Gebiet der Heißgasfiltration mit keramischen Filterelementen. Als wesentlicher Garant für den Erfolg der Forschungsarbeit muß die auf das jeweilige Projekt genau abgestimmte Meß- und Regelungstechnik angesehen werden. Hierbei zählt neben der Auswahl geeigneter Hardwarekomponenten auch die Softwareentwicklung unter einer leistungsstarken und zuverlässigen Programmierumgebung. Anhand des Aufbaus dreier Versuchsanlagen im Technikumsmaßstab soll das Anforderungsprofil an die Meßtechnik bis hin zur Umsetzung innerhalb der Anlage skizziert werden. Der Heißgasfiltrationsprüfstand im Heizkraftwerk der RWTH Aachen dient der Beobachtung des Reinigungsverhaltens keramischer Filterelemente bei der Heißgasentstaubung im Temperaturbereich bis 850 Grad C. Wesentlich für die Meßwerterfassung ist hierbei die Kopplung eines Orion-Datenloggers der Firma Schlumberger mit LabView 4.0. Im Hochtemperaturofen des Lehrstuhls werden instationäre Druckmessungen an einer keramischen Filterkerze während eines Abreinigungsimpulses bei 950 Grad C mit hoher Samplingrate durchgeführt. Hierbei übernimmt eine durch LabView 4.0 angesteuerte E-Series Karte der Firma National Instruments die Signalaufnahme. Die katalytische Schadstoffreduktion und Entstaubung heißer Rauchgase bei 900 Grad C sind Ziele der Untersuchungen in einer erstellten Versuchsanlage mit einem Quarzglasreaktor. Die Signalerfassung und -konditionierung erfolgt über SCXI in Verbindung mit LabView 4.0, die Steuerung der Anlage übernehmen zwei Multifunktionskarten (National Instruments).
Die Erfindung betrifft eine schwefelvernetzbare Kautschukmischung, deren Vulkanisat und einen Fahrzeugreifen. Die schwefelvernetzbare Kautschukmischung enthält wenigstens die folgenden Bestandteile: - wenigstens einen Dienkautschuk; und - 10 bis 300 phr wenigstens einer Kieselsäure; und - 1 bis 30 phf wenigstens eines Silans A mit der allgemeinen Summenformel A-I) A-I)(R1)oSi-R2-(S-R3)q-S-X; und - 0,5 bis 30 phf wenigstens eines Silans B mit der allgemeinen Summenformel B-I) B-I) (R1)oSi-R2-(S-R3)u-S-R2-Si(R1)o wobei q =1, 2 oder 3 ist; und u = 1, 2 oder 3 ist; und X ein Wasserstoffatom oder eine –C(=O)-R8 Gruppe ist wobei R8 ausgewählt ist aus Wasserstoff, C1-C20 Alkylgruppen, vorzugsweise C1-C17, C6-C20- Arylgruppen, vorzugsweise Phenyl, C2-C20-Alkenylgruppen und C7-C20-Aralkylgruppen.
Die Erfindung betrifft eine schwefelvernetzbare Kautschukmischung, deren Vulkanisat und einen Fahrzeugreifen.Die schwefelvernetzbare Kautschukmischung enthält wenigstens die folgenden Bestandteile:- wenigstens einen Dienkautschuk; und- 10 bis 300 phr wenigstens einer Kieselsäure ; und- 1 bis 30 phf wenigstens eines Silans A mit der allgemeinen Summenformel A-I)und- 0,5 bis 30 phf wenigstens eines Silans B mit der allgemeinen Summenformel B-I)wobei u gleich 0, 1, 2 oder 3 und v gleich 0 oder 1 ist.
Beryllium doped low-temperature-grown MBE GaAs: material for photomixing in the THz frequency range
(2000)
A light-addressable potentiometric sensor (LAPS) is a field-effect-based potentiometric sensor with an electrolyte/insulator/semiconductor (EIS) structure, which is able to monitor analyte concentrations of (bio-)chemical species in aqueous solutions in a spatially resolved way. Therefore, it is also an appropriate tool to record 2D-chemical images of concentration variations on the sensor surface. In the present work, two differential, LAPS-based measurement principles are introduced to determine the metabolic activity of Escherichia coli (E. coli) K12 and Chinese hamster ovary (CHO) cells as test microorganisms. Hereby, we focus on i) the determination of the extracellular acidification rate (ΔpH/min) after adding glucose solutions to the cell suspensions; and ii) recording the amplitude increase of the photocurrent (Iph) related to the produced acids from E. coli K12 bacteria and CHO cells on the sensor surface by 2D-chemical imaging. For this purpose, 3D-printed multi-chamber structures were developed and mounted on the planar sensor-chip surface to define four independent compartments, enabling differential measurements with varying cell concentrations. The differential concept allows eliminating unwanted drift effects and, with the four-chamber structures, measurements on the different cell concentrations were performed simultaneously, thus reducing also the overall measuring time.
On-line monitoring of the metabolic activity of microorganisms involved in intermediate stages of biogas production plays an important role to avoid undesirable “down times” during the biogas production. In order to control this process, an on-chip differential measuring system based on the light-addressable potentiometric sensor (LAPS) principle combined with a 3D-printed multi-chamber structure has been realized. As a test microorganism, Escherichia coli K12 (E. coli K12) were used for cell-based measurements. Multi-chamber structures were developed to determine the metabolic activity of E. coli K12 in suspension for a different number of cells, responding to the addition of a constant or variable amount of glucose concentrations, enabling differential and simultaneous measurements.
A light-addressable potentiometric sensor (LAPS) is a field-effect-based potentiometric device, which detects concentration changes of an analyte solution on the sensor surface in a spatially resolved way. It uses a light source to generate electron–hole pairs inside the semiconductor, which are separated in the depletion region due to an applied bias voltage across the sensor structure and hence, a surface-potential-dependent photocurrent can be read out. However, depending on the beam angle of the light source, scattering effects can occur, which influence the recorded signal in LAPS-based differential measurements. To solve this problem, a novel illumination unit based on a field programmable gate array (FPGA) consisting of 16 small-sized tunable infrared laser-diode modules (LDMs) is developed. Due to the improved focus of the LDMs with a beam angle of only 2 mrad, undesirable scattering effects are minimized. Escherichia coli (E. coli) K12 bacteria are used as a test microorganism to study the extracellular acidification on the sensor surface. Furthermore, a salt bridge chamber is built up and integrated with the LAPS system enabling multi-chamber differential measurements with a single Ag/AgCl reference electrode.
Monitoring the cellular metabolism of bacteria in (bio)fermentation processes is crucial to control and steer them, and to prevent undesired disturbances linked to metabolically inactive microorganisms. In this context, cell-based biosensors can play an important role to improve the quality and increase the yield of such processes. This work describes the simultaneous analysis of the metabolic behavior of three different types of bacteria by means of a differential light-addressable potentiometric sensor (LAPS) set-up. The study includes Lactobacillus brevis, Corynebacterium glutamicum, and Escherichia coli, which are often applied in fermentation processes in bioreactors. Differential measurements were carried out to compensate undesirable influences such as sensor signal drift, and pH value variation during the measurements. Furthermore, calibration curves of the cellular metabolism were established as a function of the glucose concentration or cell number variation with all three model microorganisms. In this context, simultaneous (bio)sensing with the multi-organism LAPS-based set-up can open new possibilities for a cost-effective, rapid detection of the extracellular acidification of bacteria on a single sensor chip. It can be applied to evaluate the metabolic response of bacteria populations in a (bio)fermentation process, for instance, in the biogas fermentation process.
LAPS-based monitoring of metabolic responses of bacterial cultures in a paper fermentation broth
(2020)
As an alternative renewable energy source, methane production in biogas plants is gaining more and more attention. Biomass in a bioreactor contains different types of microorganisms, which should be considered in terms of process-stability control. Metabolically inactive microorganisms within the fermentation process can lead to undesirable, time-consuming and cost-intensive interventions. Hence, monitoring of the cellular metabolism of bacterial populations in a fermentation broth is crucial to improve the biogas production, operation efficiency, and sustainability. In this work, the extracellular acidification of bacteria in a paper-fermentation broth is monitored after glucose uptake, utilizing a differential light-addressable potentiometric sensor (LAPS) system. The LAPS system is loaded with three different model microorganisms (Escherichia coli, Corynebacterium glutamicum, and Lactobacillus brevis) and the effect of the fermentation broth at different process stages on the metabolism of these bacteria is studied. In this way, different signal patterns related to the metabolic response of microorganisms can be identified. By means of calibration curves after glucose uptake, the overall extracellular acidification of bacterial populations within the fermentation process can be evaluated.
LAPS are field-effect-based potentiometric sensors which are able to monitor analyte concentrations in a spatially resolved manner. Hence, a LAPS sensor system is a powerful device to record chemical imaging of the concentration of chemical species in an aqueous solution, chemical reactions, or the growth of cell colonies on the sensor surface, to record chemical images. In this work, multi-chamber 3D-printed structures made out of polymer (PP-ABS) were combined with LAPS chips to analyse differentially and simultaneously the metabolic activity of Escherichia coli K12 and Chinese hamster ovary (CHO) cells, and the responds of those cells to the addition of glucose solution.
Additive Manufacturing (AM) of metallic workpieces faces a continuously rising technological relevance and market size. Producing complex or highly strained unique workpieces is a significant field of application, making AM highly relevant for tool components. Its successful economic application requires systematic workpiece based decisions and optimizations. Considering geometric and technological requirements as well as the necessary post-processing makes deciding effortful and requires in-depth knowledge. As design is usually adjusted to established manufacturing, associated technological and strategic potentials are often neglected. To embed AM in a future proof industrial environment, software-based self-learning tools are necessary. Integrated into production planning, they enable companies to unlock the potentials of AM efficiently. This paper presents an appropriate methodology for the analysis of process-specific AM-eligibility and optimization potential, added up by concrete optimization proposals. For an integrated workpiece characterization, proven methods are enlarged by tooling-specific figures.
The first stage of the approach specifies the model’s initialization. A learning set of tooling components is described using the developed key figure system. Based on this, a set of applicable rules for workpiece-specific result determination is generated through clustering and expert evaluation. Within the following application stage, strategic orientation is quantified and workpieces of interest are described using the developed key figures. Subsequently, the retrieved information is used for automatically generating specific recommendations relying on the generated ruleset of stage one. Finally, actual experiences regarding the recommendations are gathered within stage three. Statistic learning transfers those to the generated ruleset leading to a continuously deepening knowledge base. This process enables a steady improvement in output quality.
Die fotografische Arbeit "Almanya" veranschaulicht Teilaspekte der türkischen Kultur anhand von Repräsentantinnen und Repräsentanten der türkeistämmigen Community in Deutschland. Mit einem Fokus auf Kulinarik und Formen des Zusammenlebens werden Menschen mit türkischen Wurzeln porträtiert, sodass am Ende ein Einblick in deren Lebens- und Gedankenwelt ermöglicht wird und kulinarische Brücken zwischen Deutschen und der türkischen Kultur gebaut werden. Die enthaltene Botschaft, welche das Projekt den Rezipient:innen überbringt, ist in einem multikulturellen Land wie Deutschland von großer Wichtigkeit für gegenseitiges Verständnis und bildet den Boden für ein harmonisches Miteinander.