There are 40 results.
The goal of the project is the development of an analysis/forecast system for the prediction of available airspace within the next 6 hours based on the current distribution of convective weather phenomena that are obstructive to air traffic. To solve this issue, computer vision algorithms for object detection, feature extraction, tracking and extrapolation, as well as down/upsampling strategies in meteorological image processing and forecaster intervention are used.
Addictive Tooling -Additive Fertigung Innovativer Toolings zur Herstellung Intelligenter Faserverbundbauteile
In Addictive Tooling the consortium will develop a manufacturing process for an undercut FRP hollow structure for the EC135 rotor system and its associated tooling system in additive manufacturing. Therefore, a new designed vacuum assisted infusion technology will be the baseline for further development of intelligent, sensor-optimized toolings and robust processes.
The aim of the Anti-Ice project was the production of new and innovative materials for aircraft surface coating to prevent icing. Furthermore, micromechanical (piezo) actuators for active ice removal have been developed.
AQUASENSE - Research and Validation of a Prototype for Simultaneous LWC/IWC Detection in Icing Wind Tunnels
Within the AquaSense framework, a method for the simultaneous detection of both the aggregation state and concentration of water in flowing media, specifically for application in high temporal resolution icing wind tunnels, will be investigated for the first time in order to test, optimise and certify aircraft systems under defined icing conditions. A photoacoustic spectroscopy based prototype will be developed and tested under different operating conditions in the RTA Icing Wind Tunnel and the FHJ Icing Wind Tunnel.
In the AustrianUCM exploratory project, the potential of Austrian aviation suppliers, research and development organisations in the international market environment of unmanned aerial vehicles will be analysed, resulting in an Austrian UAS (unmanned aerial systems) research agenda . The focus was on unmanned aircraft for predominantly civilian applications with a maximum take-off weight of less than 150 kg, and underlying national law.
Aviation Icing Tests IV - Cloud Generation for Realistic Icing Tests on Aircraft Components, With and Without De-Icing or Anti-Icing Facilities
this research project will examine consequent research topics with a focus on increasing the LWC (Liquid Water Content) for Appendix C as well as the distribution and reduction of the LWC for Supercooled Large Drops (SLD). It is building on research projects Aviation Icing Tests, Aviation Icing Tests II and Aviation Icing Tests III that have already been carried out.
The project intends to test in icing wind tunnel (IWT) one demonstrator of engine air intake integrated in a nacelle and equipped with an innovative biphasic heat transport system for regenerating the energy from the oil of the engine. The objective, by testing the technology in a representative environment, is to reach TRL5. At the end of the project the technology will be able to be further developed towards TRL6 to 9 with the final aim to be transferred to the aeronautic value chain.
Accessible Air Cabin
Various sensor technologies in aviation have so far insufficiently combined the respective complementary properties. The optimal fusion as well as the respective characteristics of the sensors are to be optimally used in the future. The different methods for calibration and synchronization will be investigated and optimized. The results will then be incorporated into a sensor technology model for collision avoidance in aviation.
Within the DEMONA framework, the integration of an unmanned aerial vehicle into civil airspace and therein used flight guidance, which is based on the Galileo satellite navigation system, will be carried out for the first time in Austria. For this purpose, subsystems for navigation receiver, navigation data fusion, airspace demarcation, data link and collision prevention are to be integrated into a small UAS, and flight testing based on instrument procedures is to be carried out.
Air traffic controllers face the challenge of dealing with a flood of information. An essential source of information here are images and measurements of current weather conditions. Providing automated, higher-level messages from weather radar and satellite images, combining them and generating new measurements for an improved visibility estimation should provide substantial support.
Digital image processing analyses, supplements and extracts information from meteorology and subsequently supports its task with regard to Air Traffic Management (ATM). It is based on the findings of the 2D image analysis in meteorology as these are extended to 3D image processing algorithms. Additionally, this requires that not only the 2D-maximum projected weather radar image series are used as the starting point, but also that the volumetric data in combination with digital terrain models are used as a data source.
The goal of the D-Jet project is to construct a small jet for an emerging market segment with a significantly lower price-performance ratio than earlier business jets, better performance with regard to the cruising speed and the rate of climb, short runway requirements for takeoff and landing, as well as a total registered weight under 2,000 kilograms.
The aim of the project is the development of an automatic emergency flight guidance, including emergency landing for the EASA CS23 category aircraft. In case of sudden in-flight pilot incapacitation or technical problems, after activating the emergency button on board, an airfield with an approach route taking into account dynamic air traffic and weather data should be determined.
Evolution#4 - Development of a fully automated airplane manufacturing technology and implementation of IoT
In Evolution#4 an approach for the 4th industrial revolution will be addressed by bringing the production of aeronautical structures to a fully automated RTM process. In an holistic approach with leading specialists from Airbus the Austrian consortium will develop intelligent, sensor-based and quality driven production technology and prepare for coming project on the example of the A320 vertical tail plane.
eWING_DE-ICER - Development of an Energy-Efficient Electrothermal De-icing System for Wing Leading Edges in Aviation
Within the scope of the eWING_DE-ICER project, a method for developing energy-optimised de-icing systems for wing leading edges, based on a thermoelectric heating system, is to be developed. In addition to the development of forecasting models for the optimal design of all components involved, different prototypes are to be set up as in the model, as well as in full-scale, and tested in various icing wind tunnels.
The aim of this funded project is to launch a modern and highly efficient "Future Small Aircraft" in the general aviation category, which will reduce operating costs to a minimum and thus meet the growing demand. The end result of this project is a certifiable prototype, which will be developed in a timeframe of around 32 months.
The project aim - "big picture of airport weather” - is based on the integration of all sensor data available at an airport with the results of image processing modules in the collateral projects DIBMETSAT and DIBMETSAT-3D. With the help of defined use-cases, both the development and implementation of multi-sensor fusion concepts and the analysis of available data time series are implemented. Both cases achieve added value through the combination and integration of multiple types of information compared to single site measurements.
FUSEMET APP will focus on optimising present automated weather observation modules, developing new observation technologies, as well as their adaptation to ATM specifications and procedures. The automated aviation weather observation provides significant support to observers in challenging weather conditions and, furthermore, serves as an autonomous weather observation system for low air traffic during the 7x24 operation.
Generatively made aerospace components by laser welding of aluminum powders