ECSM European Center for Sustainable Mobility
Refine
Year of publication
Institute
- Fachbereich Luft- und Raumfahrttechnik (72) (remove)
Document Type
- Article (30)
- Conference Proceeding (26)
- Part of a Book (5)
- Patent (3)
- Report (3)
- Conference: Meeting Abstract (2)
- Conference Poster (2)
- Book (1)
Keywords
- Obstacle avoidance (3)
- UAV (3)
- Path planning (2)
- Active humidity control (1)
- Aircraft design (1)
- Aircraft sizing (1)
- Automotive safety approach (1)
- Autonomy (1)
- Bio-inspired systems (1)
- Bumblebees (1)
- CFD (1)
- CO2 emission reduction targets (1)
- Capacity Building Higher Education (1)
- Centrifugal twisting moment (1)
- Commercial Vehicle (1)
- Common Rail Injection System (1)
- Correlations (1)
- Cost function (1)
- Crashworthiness (1)
- Design rules (1)
- Diesel Engine (1)
- Drag (1)
- Driving cycle recognition (1)
- ECMS (1)
- Electrochemical impedance spectroscopy (1)
- Energy management strategies (1)
- Erasmus+ United (1)
- European Framework and South East Asia (1)
- European Transient Cycle (1)
- Extension–twist coupling (1)
- Flight control (1)
- Full-vehicle crash test (1)
- Geometry (1)
- Green aircraft (1)
- Guide Tube (1)
- Human factors (1)
- Hybrid-electric aircraft (1)
- Impedance analysis (1)
- Kalman filter (1)
- Lifting propeller (1)
- Local path planning (1)
- MAV (1)
- Malaysian Automotive Industry (1)
- Malaysian automotive industry (1)
- Multi-objective optimization (1)
- Nozzle (1)
- PEM fuel cell (1)
- PEM fuel cells (1)
- Parasitic drag (1)
- Predictive battery discharge (1)
- Relative air humidity (1)
- Selective Catalytic Reduction (1)
- Statistics (1)
- Suction (1)
- TICTOP (1)
- Technology Transfer (1)
- Trapeze effect (1)
- UTeM Engineering Knowledge Transfer Unit (1)
- Unmanned Air Vehicle (1)
- Unmanned aerial vehicles (1)
- adaptive systems (1)
- artificial intelligence (1)
- assistance system (1)
- aviation application (1)
- control system (1)
- eVTOL development (1)
- eVTOL safety (1)
- electrically driven compressors (1)
- electro mobility (1)
- fuel cell (1)
- fuel cell systems (1)
- fuel cell vehicle (1)
- gamification (1)
- health management systems (1)
- intelligent control (1)
- intelligent energy management (1)
- internal combustion engine (1)
- machine learning (1)
- manufacturing (1)
- optimization system (1)
- technology transfer (1)
Urbane Mobilitätskonzepte der Zukunft erfordern neue Unternehmensformen, idealerweise aus Old Economy und New Economy, sowie eine enge Anbindung an die gesellschaftsrelevante Zukunftsforschung. Für neue Fahrzeugkonzepte des Carsharing bedeutet dies, dass alle kostenverursachenden Faktoren erfasst und analysiert werden müssen. Die FH Aachen, share2drive und FEV geben einen Ausblick auf die zukünftige Fahrzeugklasse der Personal Public Vehicles als „Rolling Device“.
In modernen Fahrzeugkarosserien der Großserie kommen zunehmend Materialmischbauweisen zur Anwendung. In Zusammenarbeit der Daimler AG, der Tower Automotive Holding GmbH, der Imperia GmbH sowie der Partnerunternehmen KSM Castings GmbH und Schaufler Tooling GmbH & Co. KG wird das Leichtbaupotenzial von Aluminiumverbundguss-Stahlblech-Hybriden am Beispiel des vorderen Dachquerträgers des Mercedes-Benz Viano/Vito ausführlich untersucht.
In modernen Fahrzeugkarosserien der Großserie kommen zunehmend Materialmischbauweisen
zur Anwendung. In Zusammenarbeit der Daimler AG, der Tower Automotive Holding
GmbH, der Imperia GmbH sowie der Partnerunternehmen KSM Castings GmbH und Schaufler
Tooling GmbH & Co. KG wird das Leichtbaupotenzial von Stahlblech-AluminiumverbundgussHybriden
am Beispiel des vorderen Dachquerträgers des Mercedes-Benz Viano/Vito ausführlich
untersucht.
This work presents a methodology for automated
damage-sensitive feature extraction and anomaly
detection under multivariate operational variability
for in-flight assessment of wings. The
method uses a passive excitation approach, i. e.
without the need for artificial actuation. The
modal system properties (natural frequencies and
damping ratios) are used as damage-sensitive
features. Special emphasis is placed on the use
of Fiber Bragg Grating (FBG) sensing technology
and the consideration of Operational and
Environmental Variability (OEV). Measurements
from a wind tunnel investigation with a composite
cantilever equipped with FBG and piezoelectric
sensors are used to successfully detect an impact
damage. In addition, the feasibility of damage
localisation and severity estimation is evaluated
based on the coupling found between damageand
OEV-induced feature changes.
Wind-induced operational variability is one of the major challenges for structural health monitoring of slender engineering structures like aircraft wings or wind turbine blades. Damage sensitive features often show an even bigger sensitivity to operational variability. In this study a composite cantilever was subjected to multiple mass configurations, velocities and angles of attack in a controlled wind tunnel environment. A small-scale impact damage was introduced to the specimen and the structural response measurements were repeated. The proposed damage detection methodology is based on automated operational modal analysis. A novel baseline preparation procedure is described that reduces the amount of user interaction to the provision of a single consistency threshold. The procedure starts with an indeterminate number of operational modal analysis identifications from a large number of datasets and returns a complete baseline matrix of natural frequencies and damping ratios that is suitable for subsequent anomaly detection. Mahalanobis distance-based anomaly detection is then applied to successfully detect the damage under varying severities of operational variability and with various degrees of knowledge about the present operational conditions. The damage detection capabilities of the proposed methodology were found to be excellent under varying velocities and angles of attack. Damage detection was less successful under joint mass and wind variability but could be significantly improved through the provision of the currently encountered operational conditions.