Search Results
Aviation Research Ecosystem Advanced Novel Approach
The AREANA project (Aviation Research Ecosystem Advanced Novel Approach) has officially commenced on January 1st 2024. It addresses the call for "Aviation research synergies between Horizon Europe, AZEA and National programs" by providing advanced novel approaches to foster the European aviation research ecosystem.
EASA Innovative Air Mobility Implementation Forum
The event, introduced by EASA’s Executive Director, Florian Guillermet, will start with a half-day session dedicated to exchanges among authorities and industry executives. The focus of discussions will be the status of the innovative air mobility and U-space regulatory framework, as well as the industry market forecasts guiding the efforts of EASA and national authorities in the next years. This will also be the opportunity to present, in collaboration with the European Commission, the implementation status of the European Drone Strategy 2.0.
Development of new product lines
MoVeTech - Model-Based Processing Technique for the Manufacturing of High-Quality Structural FRP Components for the Aerospace Industry
It is within the MoVeTech project that the concept of model-based processing technology was first implemented in the ARTM (Advanced Resin Transfer Moulding) process. This concept is based on the idea of combining phenomenologically based know-how about relevant mechanisms (heat conduction and transfer on moulds and composites, flow processes during mould filling or curing kinetics of reactive resins) in the form of mathematical models, and making them available at the level of process management - while adhering to real-time requirements.
AAA4ATM - Analysis of Available Airspace for ATM
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.
FUSEMET - Multi-Sensor Fusion for Aviation Meteorology Services
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.
Hairmate - Hybrid Aircraft Seating Manufacturing and Testing
HAIRMATE project aims to design and manufacture moulds for manufacturing and testing the next generation aircraft seating obtained in the HAIRD project. Within the HAIRD project a new seating with reduction of Deep Vein Thrombosis (DVT) risk, multi-functionality and simple surfaces for composite manufacturing was designed. The moulds to manufacture the structural parts will be manufactured.
MET4LOWW - MET Potentials for Arrival and Departure Management
The objective of the MET4LOWW project is to derive ATM procedures for integrating partly probabilistic wind and weather information into arrival and departure management. Wind-fields and weather-objects are implemented in University of Salzburg’s ATM/ATC simulator, and associated avoidance and adaption strategies are developed. Various traffic and weather scenarios are analysed using fast-time-simulation and evaluated based on ATM performance figures for safety, capacity, cost-efficiency and environment. Based on these results the optimal ATM-procedures and meteorological information will be derived, e.g. time-based separation. The resulting potential improvements for arrival and departure management are validated by real-time simulation.
greenFly
Reduction of CO2 emissions by using alternative fuels in a Wankel aircraft engine with E-Booster
crystAIr - Artificial Intelligence- and sensing-driven combustion burner
crystAIr aims to develop and deploy a digital twin technology for the redesigned hydrogen burner as a key element of the engine. The technology is based on the acquisition of key burner parameters by piezocryst and fiber optic sensors (FOS) and an integrated machine learning (ML) approach to the acquired data to improve the performance of the hydrogen burner for safe and seamless flow operation with minimal environmental impact.
How Austria Attained the First European Test Infrastructure for Drones
The competences in the drone area, built on targeted research and development support, propounded the establishment of a test infrastructure for unmanned aerial systems. Austria plays a international pioneering role in this field.
Opportunities for transnational cooperation
Opportunities for transnational cooperation with the German Aeronautics Research Programme (LuFo Klima). A report on the LuFo Info Day 2022 information event.
The Austrian aviation sector - a dynamic pole of growth
... or how Austrian competences take off
RTI - Strategy for the Austrian Aviation Sector 2040+
The Strategy for Research, Technology and Innovation for Austrian Aviation 2040+
Publisher: Federal Ministry for Climate Protection, Environment, Energy, Mobility, Innovation and Technology
English
Publication Downloads
Internationalization
Package of measures 5: Expansion of international cooperation and impulses.
FUSEMET-APP - AApplication of Multi-Sensor Fusion for Automatic Observation of Aviation Meteorology
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.
DIBMETSAT-3D - 3D Based Digital Image Processing for Met-Services for Air Traffic Management
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.
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.
MIXVAL - Mixer Simulation and Validation
In passenger aircraft, the mixing and distribution of humid airflow from the cabin and engines into the cockpit and passenger cabin, as well as electronic components, takes place at a central location of the air conditioning system, the mixer. So far, the flow and heat transfer processes and the ice formation and accretion cannot be calculated with sufficient accuracy. Therefore, the aim of this project is to develop a method for simulating the physical processes in the mixer.