Objective
MYTHOS proposes to develop a demonstrated innovative and disruptive design methodology for future short/medium range civil engines capable of using a wide range of liquid and gaseous fuels including SAFs and, ultimately, pure hydrogen, thus aiming at fulfilling the objective of decarbonize civil aviation as fore-seen by the ACARE SRIA short, mid and long-term Goals by 2050. To achieve these, the MYTHOS consor-tium develops and adopts a multidisciplinary multi-fidelity modelling approach for the characterization of the relevant engine components deploying the full power of the method of machine learning. The latter will lead through hidden-physics discovery to advance data-driven reduced models which will be embedded in a holistic tool for the prediction of the environmental footprint of the civil aviation of all speeds. A unique aspect of the project is the high-fidelity experimental validation of the numerical approaches. MYTHOS consortium through this approach will contribute to reduce time-to-market for engines designed and engi-neered to burn various types of environmentally friendly fuels, such as SAF, in the short and medium term, and hydrogen, in the long term.
The proposed work responds to the needs and objectives of the HORIZON-CL5-2022-D5-01-12: Towards a silent and ultra-low local air pollution aircrafts Call as described in detail below.
Fields of science
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologyenvironmental engineeringair pollution engineering
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
- engineering and technologyenvironmental engineeringenergy and fuels
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
44801 Bochum
Germany
See on map
Participants (4)
81043 Capua
See on map
81030 Sant'arpino
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10129 Torino
See on map
22100 Lund
See on map