Refine
Year of publication
- 2022 (122) (remove)
Document Type
- Article (67)
- Conference Proceeding (42)
- Part of a Book (9)
- Other (2)
- Book (1)
- Poster (1)
Language
- English (122) (remove)
Has Fulltext
- no (122) (remove)
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)
- damage (2)
- seismic design (2)
- 10BASE-T1L (1)
- Additive Manufacturing (1)
- Additive manufacturing (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)
- Behaviour factor q (1)
- Benchmark (1)
- Binder Jetting (1)
- Biomass (1)
- Biomechanical simulation (1)
- Bootstrapping (1)
- CAV (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)
- 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)
- 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)
- 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)
- Forces (1)
- Fracture classification (1)
- Fracture configuration (1)
- Fracture simulation (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)
- Inclusive work climate (1)
- Incremental Encoder (1)
- Independence test (1)
- Industrial Communication (1)
- Industrial facilities (1)
- Industry 4.0 (1)
- Infill wall design (1)
- Information Extraction (1)
- Inorganic ions (1)
- Instructional design (1)
- Interaction (1)
- Interstellar objects (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)
- 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)
- 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)
- 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)
- Training (1)
- Trajectories (1)
- Transcendence (1)
- Transient flux distribution (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)
- aseptic parameters (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)
- biopotential electrodes (1)
- biosensors (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 model (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)
- cyber physical production system (1)
- cyber-physical production system (1)
- cybersecurity (1)
- dental trauma (1)
- dialysis (1)
- difficult airway (1)
- digital shadow (1)
- digital twin (1)
- disposal facility (1)
- distorted element (1)
- double-lumen tube intubation (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)
- gold nanoparticles (1)
- health management systems (1)
- high-intensity exercise (1)
- honeynet (1)
- honeypot (1)
- human digital shadow (1)
- human factors (1)
- human-machine interface (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)
- 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)
- pullulan (1)
- rapid tooling (1)
- recommendations for actions (1)
- reliability of structures (1)
- requirements (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)
- 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)
- unreinforced masonry buildings (1)
- urease (1)
- video learning (1)
- videolaryngoscopy (1)
- virgin passive (1)
- viscoelasticity (1)
- walking gait (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (38)
- Fachbereich Energietechnik (29)
- IfB - Institut für Bioengineering (27)
- ECSM European Center for Sustainable Mobility (15)
- Solar-Institut Jülich (14)
- Fachbereich Chemie und Biotechnologie (12)
- Fachbereich Elektrotechnik und Informationstechnik (12)
- INB - Institut für Nano- und Biotechnologien (11)
- Kommission für Forschung und Entwicklung (10)
- Fachbereich Luft- und Raumfahrttechnik (9)
- Fachbereich Maschinenbau und Mechatronik (9)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (7)
- Fachbereich Wirtschaftswissenschaften (6)
- Fachbereich Bauingenieurwesen (3)
- FH Aachen (1)
- IMP - Institut für Mikrowellen- und Plasmatechnik (1)
Automated driving is now possible in diverse road and traffic conditions. However, there are still situations that automated vehicles cannot handle safely and efficiently. In this case, a Transition of Control (ToC) is necessary so that the driver takes control of the driving. Executing a ToC requires the driver to get full situation awareness of the driving environment. If the driver fails to get back the control in a limited time, a Minimum Risk Maneuver (MRM) is executed to bring the vehicle into a safe state (e.g., decelerating to full stop). The execution of ToCs requires some time and can cause traffic disruption and safety risks that increase if several vehicles execute ToCs/MRMs at similar times and in the same area. This study proposes to use novel C-ITS traffic management measures where the infrastructure exploits V2X communications to assist Connected and Automated Vehicles (CAVs) in the execution of ToCs. The infrastructure can suggest a spatial distribution of ToCs, and inform vehicles of the locations where they could execute a safe stop in case of MRM. This paper reports the first field operational tests that validate the feasibility and quantify the benefits of the proposed infrastructure-assisted ToC and MRM management. The paper also presents the CAV and roadside infrastructure prototypes implemented and used in the trials. The conducted field trials demonstrate that infrastructure-assisted traffic management solutions can reduce safety risks and traffic disruptions.
Digital twins are seen as one of the key technologies of Industry 4.0. Although many research groups focus on digital twins and create meaningful outputs, the technology has not yet reached a broad application in the industry. The main reasons for this imbalance are the complexity of the topic, the lack of specialists, and the unawareness of the twin opportunities. The project "Digital Twin Academy" aims to overcome these barriers by focusing on three actions: Building a digital twin community for discussion and exchange, offering multi-stage training for various knowledge levels, and implementing realworld use cases for deeper insights and guidance. In this work, we focus on creating a flexible learning platform that allows the user to select a training path adjusted to personal knowledge and needs. Therefore, a mix of basic and advanced modules is created and expanded by individual feedback options. The usage of personas supports the selection of the appropriate modules.
The development of protype applications with sensors and actuators in the automation industry requires tools that are independent of manufacturer, and are flexible enough to be modified or extended for any specific requirements. Currently, developing prototypes with industrial sensors and actuators is not straightforward. First of all, the exchange of information depends on the industrial protocol that these devices have. Second, a specific configuration and installation is done based on the hardware that is used, such as automation controllers or industrial gateways. This means that the development for a specific industrial protocol, highly depends on the hardware and the software that vendors provide. In this work we propose a rapid-prototyping framework based on Arduino to solve this problem. For this project we have focused to work with the IO-Link protocol. The framework consists of an Arduino shield that acts as the physical layer, and a software that implements the IO-Link Master protocol. The main advantage of such framework is that an application with industrial devices can be rapid-prototyped with ease as its vendor independent, open-source and can be ported easily to other Arduino compatible boards. In comparison, a typical approach requires proprietary hardware, is not easy to port to another system and is closed-source.
Providing healthcare services frequently involves cognitively demanding tasks, including diagnoses and analyses as well as complex decisions about treatments and therapy. From a global perspective, ethically significant inequalities exist between regions where the expert knowledge required for these tasks is scarce or abundant. One possible strategy to diminish such inequalities and increase healthcare opportunities in expert-scarce settings is to provide healthcare solutions involving digital technologies that do not necessarily require the presence of a human expert, e.g., in the form of artificial intelligent decision-support systems (AI-DSS). Such algorithmic decision-making, however, is mostly developed in resource- and expert-abundant settings to support healthcare experts in their work. As a practical consequence, the normative standards and requirements for such algorithmic decision-making in healthcare require the technology to be at least as explainable as the decisions made by the experts themselves. The goal of providing healthcare in settings where resources and expertise are scarce might come with a normative pull to lower the normative standards of using digital technologies in order to provide at least some healthcare in the first place. We scrutinize this tendency to lower standards in particular settings from a normative perspective, distinguish between different types of absolute and relative, local and global standards of explainability, and conclude by defending an ambitious and practicable standard of local relative explainability.
Quantitative evaluation of health management designs for fuel cell systems in transport vehicles
(2022)
Focusing on transport vehicles, mainly with regard to aviation applications, this paper presents compilation and subsequent quantitative evaluation of methods aimed at building an optimum integrated health management solution for fuel cell systems. The methods are divided into two different main types and compiled in a related scheme. Furthermore, different methods are analysed and evaluated based on parameters specific to the aviation context of this study. Finally, the most suitable method for use in fuel cell health management systems is identified and its performance and suitability is quantified.
Having well-defined control strategies for fuel cells, that can efficiently detect errors and take corrective action is critically important for safety in all applications, and especially so in aviation. The algorithms not only ensure operator safety by monitoring the fuel cell and connected components, but also contribute to extending the health of the fuel cell, its durability and safe operation over its lifetime. While sensors are used to provide peripheral data surrounding the fuel cell, the internal states of the fuel cell cannot be directly measured. To overcome this restriction, Kalman Filter has been implemented as an internal state observer.
Other safety conditions are evaluated using real-time data from every connected sensor and corrective actions automatically take place to ensure safety. The algorithms discussed in this paper have been validated thorough Model-in-the-Loop (MiL) tests as well as practical validation at a dedicated test bench.
The industrial revolution IR4.0 era have driven many states of the art technologies to be introduced especially in the automotive industry. The rapid development of automotive industries in Europe have created wide industry gap between European Union (EU) and developing countries such as in South-East Asia (SEA). Indulging this situation, FH Joanneum, Austria together with European partners from FH Aachen, Germany and Politecnico Di Torino, Italy is taking initiative to close the gap utilizing the Erasmus+ United grant from EU. A consortium was founded to engage with automotive technology transfer using the European ramework to Malaysian, Indonesian and Thailand Higher Education Institutions (HEI) as well as automotive industries. This could be achieved by establishing Engineering Knowledge Transfer Unit (EKTU) in respective SEA institutions guided by the industry partners in their respective countries. This EKTU could offer updated, innovative, and high-quality training courses to increase graduate’s employability in higher education institutions and strengthen relations between HEI and the wider economic and social environment by addressing Universityindustry cooperation which is the regional priority for Asia. It is expected that, the Capacity Building Initiative would improve the quality of higher education and enhancing its relevance for the labor market and society in the SEA partners. The outcome of this project would greatly benefit the partners in strong and complementary partnership targeting the automotive industry and enhanced larger scale international cooperation between the European and SEA partners. It would also prepare the SEA HEI in sustainable partnership with Automotive industry in the region as a mean of income generation in the future.
Using optimization to design a renewable energy system has become a computationally demanding task as the high temporal fluctuations of demand and supply arise within the considered time series. The aggregation of typical operation periods has become a popular method to reduce effort. These operation periods are modelled independently and cannot interact in most cases. Consequently, seasonal storage is not reproducible. This inability can lead to a significant error, especially for energy systems with a high share of fluctuating renewable energy. The previous paper, “Time series aggregation for energy system design: Modeling seasonal storage”, has developed a seasonal storage model to address this issue. Simultaneously, the paper “Optimal design of multi-energy systems with seasonal storage” has developed a different approach. This paper aims to review these models and extend the first model. The extension is a mathematical reformulation to decrease the number of variables and constraints. Furthermore, it aims to reduce the calculation time while achieving the same results.
GHEtool is a Python package that contains all the functionalities needed to deal with borefield design. It is developed for both researchers and practitioners. The core of this package is the automated sizing of borefield under different conditions. The sizing of a borefield is typically slow due to the high complexity of the mathematical background. Because this tool has a lot of precalculated data, GHEtool can size a borefield in the order of tenths of milliseconds. This sizing typically takes the order of minutes. Therefore, this tool is suited for being implemented in typical workflows where iterations are required.
GHEtool also comes with a graphical user interface (GUI). This GUI is prebuilt as an exe-file because this provides access to all the functionalities without coding. A setup to install the GUI at the user-defined place is also implemented and available at: https://www.mech.kuleuven.be/en/tme/research/thermal_systems/tools/ghetool.
In general aviation, too, it is desirable to be able to operate existing internal combustion engines with fuels that produce less CO₂ than Avgas 100LL being widely used today It can be assumed that, in comparison, the fuels CNG, LPG or LNG, which are gaseous under normal conditions, produce significantly lower emissions. Necessary propulsion system adaptations were investigated as part of a research project at Aachen University of Applied Sciences.