03.1 - Aerodynamics – CFD Methods and Validation
AERODATABASE DEVELOPMENT AND INTEGRATION OF SUPERSONIC/HYPERSONIC CRUISER VEHICLES IN MORE&LESS PROJECT
P. Roncionią, M. Marinią, R. Fusaro˛, N. Viola˛; ąCIRA, Italy ;˛POLITO, Italy
The European Commission is funding the H2020 MORE&LESS Project (MDO and REgulations for Low boom and Environmentally Sustainable Supersonic aviation), aiming at developing a wide design platform for future supersonic aviation on the base of global environmental regulations. A multi-disciplinary optimization framework to assess the holistic impact of supersonic aviation onto environment is foreseen that can incorporate high-fidelity modelling activities and test campaigns. At first, different disciplines will tackle separate design topics through modelling and tests and then the environmental impact of these aircraft concepts will be evaluated through the holistic framework. rnTo further extend the validity of theories and models, the entire spectrum of supersonic speed regime ranging from Mach 2 to Mach 5 is considered. Moreover, the analysis is not only restricted to aircraft using traditional hydrocarbon fuels, but it moves beyond, addressing aircraft concepts exploiting alternative fuels, such as biofuels and cryogenic fuels. The idea of considering more case-studies with different configurations, performance and fuels fosters the enhancement of the flexibility of the tools, which, starting from the case-studies, are developed based on modelling activities and test campaigns as products that can be flexible enough to be applied to several future vehicle concepts.rnIn order to achieve this aim one important activity is the development of the aerodynamic database. This paper deals with the development and integration of increasing-fidelity aerodynamic modelling approaches in the conceptual design of hypersonic cruisers. This methodology foresees the development of aerodynamic aerodatabases by means of incremental steps starting from simplified methods (panels methods and/or low fidelity CFD simulations) up to very reliable data based on high fidelity CFD simulations and experimental measurements with associated confidence levels. This allows us to follow th