Refine
Year of publication
- 2022 (145) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (45)
- Fachbereich Energietechnik (32)
- IfB - Institut für Bioengineering (27)
- Fachbereich Chemie und Biotechnologie (18)
- ECSM European Center for Sustainable Mobility (17)
- INB - Institut für Nano- und Biotechnologien (14)
- Solar-Institut Jülich (14)
- Fachbereich Elektrotechnik und Informationstechnik (12)
- Fachbereich Luft- und Raumfahrttechnik (12)
- Fachbereich Maschinenbau und Mechatronik (10)
Language
- English (145) (remove)
Document Type
- Article (78)
- Conference Proceeding (47)
- Part of a Book (10)
- Conference: Meeting Abstract (5)
- Conference Poster (2)
- Other (2)
- Book (1)
Keywords
- Concentrated solar power (3)
- Energy storage (3)
- Hybrid energy system (3)
- Biocomposites (2)
- Chemometrics (2)
- Digital Twin (2)
- Earthquake (2)
- Electricity generation (2)
- Gamification (2)
- Heparin (2)
- IO-Link (2)
- NMR spectroscopy (2)
- Natural fibres (2)
- Polymer-matrix composites (2)
- Power plants (2)
- Seismic design (2)
- Seismic loading (2)
- Solar thermal technologies (2)
- Stress concentrations (2)
- biosensors (2)
- damage (2)
- seismic design (2)
- 10BASE-T1L (1)
- Actuator disk modelling (1)
- Additive Manufacturing (1)
- Additive manufacturing (1)
- Algal Turf Scrubber (1)
- Algal–bacterial bioflm (1)
- Alkalihalobacillus okhensis (1)
- Alzheimer's disease (1)
- Analogue Environments (1)
- Angle Sensor (1)
- Arduino (1)
- Artificial Intelligence (1)
- Artificial intelligence (1)
- Assembly (1)
- Asset Administration Shell (1)
- Associated liquids (1)
- Automated driving (1)
- Automotive application (1)
- BET (1)
- Behaviour factor q (1)
- Benchmark (1)
- Binder Jetting (1)
- Biogas (1)
- Biomass (1)
- Biomechanical simulation (1)
- Bootstrapping (1)
- Boundary integral equations (1)
- Brake set-up (1)
- Brake test (1)
- CAV (1)
- CFD propeller simulation (1)
- Camera system (1)
- Case Study (1)
- Categorial variable (1)
- Cementoblast (1)
- Central receiver power plant (1)
- Central receiver system (1)
- Ceramics (1)
- Challenges (1)
- Chance constrained programming (1)
- Change management (1)
- Circular bioeconomy (1)
- Civil engineering (1)
- Clinical decision support systems (1)
- Cloud passages (1)
- Clustering (1)
- Collective risk model (1)
- Compression (1)
- Concentrated solar collector (1)
- Concentrated systems (1)
- Concomitant (1)
- Conductive boundary condition (1)
- Conpot (1)
- Control optimization (1)
- Crude heparin (1)
- Cryobot (1)
- DNI forecast (1)
- DNI forecasting (1)
- Decoupling (1)
- Digital Twin Evolution (1)
- Digital Twins (1)
- Direct normal irradiance forecast (1)
- Directed Energy Deposition (1)
- Diversity management (1)
- Drinfeld modules (1)
- Dynamic simulation (1)
- EN 1998-4 (1)
- ES-FEM (1)
- ESHM20, industrial facilities (1)
- Electrical Flight (1)
- Empirical process (1)
- Energy system (1)
- Erasmus+ United (1)
- Ethernet (1)
- Evolution of damage (1)
- Explainability (1)
- Extension fracture (1)
- Extension strain criterion (1)
- FGF23 (1)
- FPGA (1)
- FS-FEM (1)
- Feature selection (1)
- Field device (1)
- Finite element analysis (1)
- Finite element analysis (FEA) (1)
- Flight Mechanics (1)
- Flight Tests (1)
- Forces (1)
- Fracture classification (1)
- Fracture configuration (1)
- Fracture simulation (1)
- Freight rail (1)
- Gas turbine (1)
- Genetic algorithm (1)
- Global change (1)
- Guidelines (1)
- Haemodialysis (1)
- Handbike (1)
- Hazard assessment (1)
- Heliostat Field Calibration (1)
- Heliostats (1)
- Heterostructure (1)
- Higher derivations (1)
- Humidity (1)
- Hybridization (1)
- ICS (1)
- INSYSME (1)
- IR spectroscopy (1)
- Ice Melting (1)
- Icy Moons (1)
- Image Reconstruction (1)
- Imaging (1)
- In-plane load (1)
- In-plane performance, isolation (1)
- Incident analysis (1)
- Inclusive work climate (1)
- Incremental Encoder (1)
- Independence test (1)
- Industrial Communication (1)
- Industrial facilities (1)
- Industry 4.0 (1)
- Infill wall design (1)
- Inflight Regeneration, Recuperation (1)
- Information Extraction (1)
- Inorganic ions (1)
- Instructional design (1)
- Interaction (1)
- Interstellar objects (1)
- Inverse spectral problem (1)
- Ions (1)
- Justice (1)
- Kalman filter (1)
- Klotho (1)
- Knowledge Transfer (1)
- L-PBF (1)
- LPBF (1)
- Landslide tsunamis (1)
- Large scale tests (1)
- Laser-Powder Bed Fusion (1)
- Level system (1)
- Lidar (1)
- Limit analysis (1)
- Linear elastic analysis (1)
- Machine Learning (1)
- Machine learning (1)
- Malaysian automotive industry (1)
- Masonry infill (1)
- Measurement models (1)
- Measurement uncertainty (1)
- Measuring instruments (1)
- Mechanotransduction (1)
- Medical AI (1)
- Melting Efficiency (1)
- Melting Performance (1)
- Melting Probe (1)
- Metascintillator (1)
- Methane (1)
- Microcirculation (1)
- Mild cognitive impairment (1)
- Missions (1)
- Mixed integer linear programming (MILP) (1)
- Modelling (1)
- Modern constructions (1)
- Mohr–Coulomb criterion (1)
- Molecular modelling (1)
- Molecular weight determination (1)
- Molten salt receiver (1)
- Molten salt receiver system (1)
- Molten salt receiver system, (1)
- Molten salt solar tower (1)
- Monte Carlo Tree Search (1)
- Morphing (1)
- Multi-agent Systems (1)
- Multiple TOF kernels (1)
- Myocardial infarction and cardiac death (1)
- NMR (1)
- Natural Language Processing (1)
- Niacin (1)
- Normative standards (1)
- Nowcasting (1)
- Numerical modelling (1)
- Ocean Worlds (1)
- Organizational culture (1)
- Out-of-plane load (1)
- Overland flow (1)
- PEM fuel cells (1)
- PLS-regression (1)
- PTC (1)
- PTH (1)
- Parabolic trough collector (1)
- Paralympic sport (1)
- Perception (1)
- Periods (1)
- Phosphate (1)
- Photovoltaics (1)
- Position Encoder (1)
- Powder Material (1)
- Power conversion systems (1)
- Probability distribution mapping (1)
- Process mining (1)
- Process prediction (1)
- Profile Extraction (1)
- Propeller Aerodynamics (1)
- Propeller aerodynamics (1)
- Propeller performance (1)
- Proper Orthogonal Decomposition (1)
- Proximal humerus fracture (1)
- Psychological concepts (1)
- Pulsations (1)
- Q-criterion (1)
- Quadrocopter (1)
- Quality control (1)
- Quantum Computing (1)
- Quantum Machine Learning (1)
- Quantum chemistry (1)
- RWTH Aachen University (1)
- Rapid-prototyping (1)
- Reinforced concrete frame (1)
- Reliability of structures (1)
- Renewable energy (1)
- Retinal vessel analysis (1)
- Retinal vessels (1)
- Riboflavin (1)
- Rotational Encoder (1)
- Rotator cuff (1)
- S-FEM (1)
- SME (1)
- Self-driving (1)
- Sensors (1)
- Shakedown analysis (1)
- Shoulder (1)
- Solar concentration (1)
- Solar dish (1)
- Solar irradiance (1)
- Solitary waves (1)
- Standardization (1)
- Star design (1)
- Stochastic programming (1)
- Structural design (1)
- Structural health monitoring (1)
- Support System (1)
- TOF PET (1)
- Tanks (1)
- Tension (1)
- Text Mining (1)
- Thermal Energy Storage (1)
- Thiamine (1)
- Time-series aggregation (1)
- Tobacco mosaic virus (1)
- Train composition (1)
- Training (1)
- Trajectories (1)
- Transcendence (1)
- Transient flux distribution (1)
- Transmission eigenvalues (1)
- Two-phase modelling (1)
- Typical periods (1)
- UAV (1)
- USP (1)
- UTeM Engineering Knowledge Transfer Unit (1)
- Uncertainty analysis (1)
- Unmanned aerial vehicle (1)
- Unreinforced masonry buildings (1)
- User study (1)
- Vasomotions (1)
- Virtual reality (1)
- Vitamin A (1)
- Vitamin B (1)
- Vitamin D (1)
- Wiegand Effect (1)
- Window opening (1)
- acetoin (1)
- additive manufacturing (1)
- adipose-derived stromal cells (ASCs) (1)
- aminooctanethiol (1)
- anaesthetic complications (1)
- anisotropy (1)
- aortic perfusion (1)
- architectural education (1)
- aseptic parameters (1)
- atomic layer deposition (1)
- automated vehicles (1)
- aviation application (1)
- bacterial cellulose (1)
- batteries and fuel cells (1)
- behaviour factor q (1)
- bi-enzyme biosensor (1)
- biaxial tensile experiment (1)
- biocompatible materials (1)
- biodegradable electronic devices (1)
- biopotential electrodes (1)
- body imaging at 7 T MRI (1)
- bootstrap (1)
- borefields (1)
- borehole disposal (1)
- bullying (1)
- capacitive field-effect biosensor (1)
- capacitive field-effect sensor (1)
- capacitive field-effect sensors (1)
- capacitive model (1)
- carbon electrodes (1)
- cell aerosolization (1)
- cell atomization (1)
- cerebral small vessel disease (1)
- chance constrained programming (1)
- coculture (1)
- cognitive impairment (1)
- coherent structures (1)
- combustor development (1)
- competence developing games (1)
- computational fluid dynamics analysis (1)
- connected automated vehicles (1)
- constitutive modeling (1)
- control system (1)
- correlation (1)
- crystallization (1)
- currriculum (1)
- cyber physical production system (1)
- cyber-physical production system (1)
- cybersecurity (1)
- dental trauma (1)
- design research (1)
- detergent protease (1)
- dialysis (1)
- difficult airway (1)
- digital shadow (1)
- digital twin (1)
- disposal facility (1)
- distorted element (1)
- double-lumen tube intubation (1)
- dscipline (1)
- electrolyte-insulator-semiconductor capacitors (1)
- electrospinning (1)
- emission (1)
- endoluminal (1)
- energy (1)
- enzyme immobilization (1)
- enzyme-logic gate (1)
- exopolysaccharides (1)
- experimental evaluation (1)
- extracorporeal membrane oxygenation (1)
- eye movement modelling examples (1)
- fibers (1)
- field-effect sensor (1)
- force generation (1)
- forehead EEG (1)
- frequency mixing magnetic detection (1)
- fuel cell systems (1)
- fuels (1)
- fused filament fabrication (1)
- gaseous hydrogen peroxide (1)
- geological disposal (1)
- geothermal (1)
- glucose (1)
- gold nanoparticles (1)
- halotolerant protease (1)
- health management systems (1)
- high-alkaline subtilisin (1)
- high-intensity exercise (1)
- honeynet (1)
- honeypot (1)
- human digital shadow (1)
- human factors (1)
- human-machine interface (1)
- hybridity (1)
- hydraulic modelling (1)
- hydrogen (1)
- hyperelastic (1)
- ignition (1)
- impedance spectroscopy (1)
- in-ear EEG (1)
- industrial gas turbine (1)
- irradiation (1)
- lessons learned (1)
- limit analysis (1)
- linear elastic analysis; (1)
- magnetic nanoparticles (1)
- magnetic sensors (1)
- metrological characterization (1)
- microplasma (1)
- microwave (MW) plasma (1)
- model performance (1)
- modern constructions (1)
- multi-sensing platform (1)
- muscle fascicle behavior (1)
- nanoparticle coverage (1)
- non-simplex S-FEM elements (1)
- nuclear waste (1)
- oxidative stable protease (1)
- pH sensors (1)
- passive inter-modulation (1)
- penicillinase (1)
- performance testing (1)
- plasma jet (1)
- policy recommendations (1)
- polyetheretherketone (1)
- porous materials (1)
- power integrity (1)
- prebiotic (1)
- profession (1)
- pullulan (1)
- rapid tooling (1)
- recommendations for actions (1)
- reliability of structures (1)
- requirements (1)
- research by design (1)
- research in architecture (1)
- retention time (1)
- retinal vessels (1)
- sEMG (1)
- safety control (1)
- seismic hazard (1)
- shakedown analysis (1)
- signal integrity (1)
- simulation (1)
- sizing (1)
- smooth muscle contraction (1)
- software engineering (1)
- spore kill rate (1)
- sterility (1)
- stochastic programming (1)
- strain energy function (1)
- survival (1)
- systematic literature review (1)
- t-modules (1)
- technology transfer (1)
- tendon rupture (1)
- the University of Sheffield (1)
- thermal dose (1)
- tissue temperature (1)
- tobacco mosaic virus (TMV) (1)
- transmit antenna arrays (1)
- tri-lineage differentiation (1)
- twin-fluid atomizer (1)
- ultrasound imaging (1)
- ultrathin gate insulators (1)
- unreinforced masonry buildings (1)
- urease (1)
- video learning (1)
- videolaryngoscopy (1)
- virgin passive (1)
- viscoelasticity (1)
- walking gait (1)
Orthodontic treatments are concomitant with mechanical forces and thereby cause teeth movements. The applied forces are transmitted to the tooth root and the periodontal ligaments which is compressed on one side and tensed up on the other side. Indeed, strong forces can lead to tooth root resorption and the crown-to-tooth ratio is reduced with the potential for significant clinical impact. The cementum, which covers the tooth root, is a thin mineralized tissue of the periodontium that connects the periodontal ligament with the tooth and is build up by cementoblasts. The impact of tension and compression on these cells is investigated in several in vivo and in vitro studies demonstrating differences in protein expression and signaling pathways. In summary, osteogenic marker changes indicate that cyclic tensile forces support whereas static tension inhibits cementogenesis. Furthermore, cementogenesis experiences the same protein expression changes in static conditions as static tension, but cyclic compression leads to the exact opposite of cyclic tension. Consistent with marker expression changes, the singaling pathways of Wnt/ß-catenin and RANKL/OPG show that tissue compression leads to cementum degradation and tension forces to cementogenesis. However, the cementum, and in particular its cementoblasts, remain a research area which should be explored in more detail to understand the underlying mechanism of bone resorption and remodeling after orthodontic treatments.
Hydrogen is playing an increasingly important role in research and politics as an energy carrier of the future. Since hydrogen has commonly been produced from methane by steam reforming, the need for climate-friendly, alternative production routes is emerging. In addition to electrolysis, fermentative routes for the production of so-called biohydrogen are "green" alternatives. The application of microorganisms offers the advantage of sustainable production from renewable resources using easily manageable technologies. In this project, the hyperthermophilic, anaerobic microorganism Thermotoga neapolitana is used for the productio nof biohydrogen from renewable resources. The enzymatically hydrolyzed resources were used in fermentation leading to yield coefficients of 1.8 mole H₂ per mole glucose when using hydrolyzed straw and ryegrass supplemented with medium, respectively. These results are similar to the hydrogen yields when using Thermotoga basal medium with glucose (TBGY) as control group. In order to minimize the supplementation of the hydrolysate and thus increase the economic efficiency of the process, the essential media components were identified. The experiments revealed NaCl, KCl, and glucose as essential components for cell growth as well as biohydrogen production. When excluding NaCl, a decrease of 96% in hydrogen production occured.
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.
Upcoming gasoline engines should run with a larger number of fuels beginning from petrol over methanol up to gas by a wide range of compression ratios and a homogeneous charge. In this article, the microwave (MW) spark plug, based on a high-speed frequency hopping system, is introduced as a solution, which can support a nitrogen compression ratio up to 1:39 in a chamber and more. First, an overview of the high-speed frequency hopping MW ignition and operation system as well as the large number of applications are presented. Both gives an understanding of this new base technology for MW plasma generation. Focus of the theoretical part is the explanation of the internal construction of the spark plug, on the achievable of the high voltage generation as well as the high efficiency to hold the plasma. In detail, the development process starting with circuit simulations and ending with the numerical multiphysics field simulations is described. The concept is evaluated with a reference prototype covering the frequency range between 2.40 and 2.48 GHz and working over a large power range from 20 to 200 W. A larger number of different measurements starting by vector hot-S11 measurements and ending by combined working scenarios out of hot temperature, high pressure and charge motion are winding up the article. The limits for the successful pressure tests were given by the pressure chamber. Pressures ranged from 1 to 39 bar and charge motion up to 25 m/s as well as temperatures from 30◦ to 125◦.
Miniaturized electrolyte–insulator–semiconductor capacitors (EISCAPs) with ultrathin gate insulators have been studied in terms of their pH-sensitive sensor characteristics: three different EISCAP systems consisting of Al–p-Si–Ta2O5(5 nm), Al–p-Si–Si3N4(1 or 2 nm)–Ta2O5 (5 nm), and Al–p-Si–SiO2(3.6 nm)–Ta2O5(5 nm) layer structures are characterized in buffer solution with different pH values by means of capacitance–voltage and constant capacitance method. The SiO2 and Si3N4 gate insulators are deposited by rapid thermal oxidation and rapid thermal nitridation, respectively, whereas the Ta2O5 film is prepared by atomic layer deposition. All EISCAP systems have a clear pH response, favoring the stacked gate insulators SiO2–Ta2O5 when considering the overall sensor characteristics, while the Si3N4(1 nm)–Ta2O5 stack delivers the largest accumulation capacitance (due to the lower equivalent oxide thickness) and a higher steepness in the slope of the capacitance–voltage curve among the studied stacked gate insulator systems.
Concentrated Solar Power (CSP) systems are able to store energy cost-effectively in their integrated thermal energy storage (TES). By intelligently combining Photovoltaics (PV) systems with CSP, a further cost reduction of solar power plants is expected, as well as an increase in dispatchability and flexibility of power generation. PV-powered Resistance Heaters (RH) can be deployed to raise the temperature of the molten salt hot storage from 385 °C up to 565 °C in a Parabolic Trough Collector (PTC) plant. To avoid freezing and decomposition of molten salt, the temperature distribution in the electrical resistance heater is investigated in the present study. For this purpose, a RH has been modeled and CFD simulations have been performed. The simulation results show that the hottest regions occur on the electric rod surface behind the last baffle. A technical optimization was performed by adjusting three parameters: Shell-baffle clearance, electric rod-baffle clearance and number of baffles. After the technical optimization was carried out, the temperature difference between the maximum temperature and the average outlet temperature of the salt is within the acceptable limits, thus critical salt decomposition has been avoided. Additionally, the CFD simulations results were analyzed and compared with results obtained with a one-dimensional model in Modelica.
The future of industrial manufacturing and production will increasingly manifest in the form of cyber-physical production systems. Here, Digital Shadows will act as mediators between the physical and digital world to model and operationalize the interactions and relationships between different entities in production systems. Until now, the associated concepts have been primarily pursued and implemented from a technocentric perspective, in which human actors play a subordinate role, if they are considered at all. This paper outlines an anthropocentric approach that explicitly considers the characteristics, behavior, and traits and states of human actors in socio-technical production systems. For this purpose, we discuss the potentials and the expected challenges and threats of creating and using Human Digital Shadows in production.
Monte Carlo Tree Search (MCTS) is a search technique that in the last decade emerged as a major breakthrough for Artificial Intelligence applications regarding board- and video-games. In 2016, AlphaGo, an MCTS-based software agent, outperformed the human world champion of the board game Go. This game was for long considered almost infeasible for machines, due to its immense search space and the need for a long-term strategy. Since this historical success, MCTS is considered as an effective new approach for many other scientific and technical problems. Interestingly, civil structural engineering, as a discipline, offers many tasks whose solution may benefit from intelligent search and in particular from adopting MCTS as a search tool. In this work, we show how MCTS can be adapted to search for suitable solutions of a structural engineering design problem. The problem consists of choosing the load-bearing elements in a reference reinforced concrete structure, so to achieve a set of specific dynamic characteristics. In the paper, we report the results obtained by applying both a plain and a hybrid version of single-agent MCTS. The hybrid approach consists of an integration of both MCTS and classic Genetic Algorithm (GA), the latter also serving as a term of comparison for the results. The study’s outcomes may open new perspectives for the adoption of MCTS as a design tool for civil engineers.
Exposure to prolonged periods in microgravity is associated with deconditioning of the musculoskeletal system due to chronic changes in mechanical stimulation. Given astronauts will operate on the Lunar surface for extended periods of time, it is critical to quantify both external (e.g., ground reaction forces) and internal (e.g., joint reaction forces) loads of relevant movements performed during Lunar missions. Such knowledge is key to predict musculoskeletal deconditioning and determine appropriate exercise countermeasures associated with extended exposure to hypogravity.