Refine
Year of publication
- 2021 (83) (remove)
Document Type
- Article (83) (remove)
Has Fulltext
- no (83) (remove)
Keywords
- Principal component analysis (2)
- capacitive field-effect sensor (2)
- constructive alignment (2)
- examination (2)
- harmonic radar (2)
- long-term retention (2)
- multimodal (2)
- practical learning (2)
- AlterG (1)
- Authenticity (1)
- Bacillus sp (1)
- Bemessung (1)
- Biosolubilization (1)
- Bloom’s Taxonomy (1)
- Bootstrap (1)
- CellDrum (1)
- Competence Developing Games (1)
- DLR-ESTEC GOSSAMER roadmap for solar sailing (1)
- Deuterated solvents (1)
- Deuterium NMR (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (28)
- IfB - Institut für Bioengineering (23)
- Fachbereich Wirtschaftswissenschaften (13)
- Fachbereich Luft- und Raumfahrttechnik (10)
- INB - Institut für Nano- und Biotechnologien (10)
- Fachbereich Chemie und Biotechnologie (8)
- Fachbereich Elektrotechnik und Informationstechnik (5)
- Fachbereich Bauingenieurwesen (4)
- Fachbereich Energietechnik (3)
- Fachbereich Maschinenbau und Mechatronik (3)
- Fachbereich Architektur (2)
- IMP - Institut für Mikrowellen- und Plasmatechnik (2)
- Solar-Institut Jülich (2)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (2)
- ECSM European Center for Sustainable Mobility (1)
- IBB - Institut für Baustoffe und Baukonstruktionen (1)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (1)
The transition within transportation towards battery electric vehicles can lead to a more sustainable future. To account for the development goal ‘climate action’ stated by the United Nations, it is mandatory, within the conceptual design phase, to derive energy-efficient system designs. One barrier is the uncertainty of the driving behaviour within the usage phase. This uncertainty is often addressed by using a stochastic synthesis process to derive representative driving cycles and by using cycle-based optimization. To deal with this uncertainty, a new approach based on a stochastic optimization program is presented. This leads to an optimization model that is solved with an exact solver. It is compared to a system design approach based on driving cycles and a genetic algorithm solver. Both approaches are applied to find efficient electric powertrains with fixed-speed and multi-speed transmissions. Hence, the similarities, differences and respective advantages of each optimization procedure are discussed.
Geochemical characterisation of hypersaline waters is difficult as high concentrations of salts hinder the analysis of constituents at low concentrations, such as trace metals, and the collection of samples for trace metal analysis in natural waters can be easily contaminated. This is particularly the case if samples are collected by non-conventional techniques such as those required for aquatic subglacial environments. In this paper we present the first analysis of a subglacial brine from Taylor Valley, (~ 78°S), Antarctica for the trace metals: Ba, Co, Mo, Rb, Sr, V, and U. Samples were collected englacially using an electrothermal melting probe called the IceMole. This probe uses differential heating of a copper head as well as the probe’s sidewalls and an ice screw at the melting head to move through glacier ice. Detailed blanks, meltwater, and subglacial brine samples were collected to evaluate the impact of the IceMole and the borehole pump, the melting and collection process, filtration, and storage on the geochemistry of the samples collected by this device. Comparisons between melt water profiles through the glacier ice and blank analysis, with published studies on ice geochemistry, suggest the potential for minor contributions of some species Rb, As, Co, Mn, Ni, NH4+, and NO2−+NO3− from the IceMole. The ability to conduct detailed chemical analyses of subglacial fluids collected with melting probes is critical for the future exploration of the hundreds of deep subglacial lakes in Antarctica.
The fourth industrial revolution introduces disruptive technologies to production environments. One of these technologies are multi-agent systems (MASs), where agents virtualize machines. However, the agent's actual performances in production environments can hardly be estimated as most research has been focusing on isolated projects and specific scenarios. We address this gap by implementing a highly connected and configurable reference model with quantifiable key performance indicators (KPIs) for production scheduling and routing in single-piece workflows. Furthermore, we propose an algorithm to optimize the search of extrema in highly connected distributed systems. The benefits, limits, and drawbacks of MASs and their performances are evaluated extensively by event-based simulations against the introduced model, which acts as a benchmark. Even though the performance of the proposed MAS is, on average, slightly lower than the reference system, the increased flexibility allows it to find new solutions and deliver improved factory-planning outcomes. Our MAS shows an emerging behavior by using flexible production techniques to correct errors and compensate for bottlenecks. This increased flexibility offers substantial improvement potential. The general model in this paper allows the transfer of the results to estimate real systems or other models.
The feasibility of light-addressed detection and manipulation of pH gradients inside an electrochemical microfluidic cell was studied. Local pH changes, induced by a light-addressable electrode (LAE), were detected using a light-addressable potentiometric sensor (LAPS) with different measurement modes representing an actuator-sensor system. Biosensor functionality was examined depending on locally induced pH gradients with the help of the model enzyme penicillinase, which had been immobilized in the microfluidic channel. The surface morphology of the LAE and enzyme-functionalized LAPS was studied by scanning electron microscopy. Furthermore, the penicillin sensitivity of the LAPS inside the microfluidic channel was determined with regard to the analyte’s pH influence on the enzymatic reaction rate. In a final experiment, the LAE-controlled pH inhibition of the enzyme activity was monitored by the LAPS.