With the aim of reducing the environmental impact of noise caused by aircraft during take-off, the prediction and mitigation of jet-airframe interaction noise sources remain significant challenges for closely integrated propulsion-airframe architectures.
The ambition of the DJINN project is therefore to develop a new generation of reliable computational fluid dynamics (CFD) methods, most of them belonging to the field of hybrid methods, for assessing promising noise-reduction technologies, with support and validation from reduced-scale experiments. This key ambition is tied to the provision of advanced tools for coupled aerodynamics-aeroacoustics to enable design optimisation in future industrial environments and to reach a new level of noise reduction through a highly collaborative effort.
The DJINN project denotes a breakthrough in designing quieter and greener aircraft through both improved CFD methods and better physical understanding. The ability to understand, model and predict jet-airframe noise is the key to conceive efficient noise reduction technologies and optimise future industrial designs. Important noise reductions of future integrated propulsion aircraft are foreseen with 5 dB reduction of the jet-airframe interaction noise peak level at low frequencies. This objective cannot be reached by investigating the engine/nozzle and airframe systems separately. Improved CFD methods for multi-physics modelling utilizing high-performance computing are expected to reduce design times and costs by around 25% compared to large-scale testing.
The DJINN project will make a major impact on economic and environmental factors and secure the leadership of the European aeronautics industry in the highly competitive global market.
The consortium is formed by major industrial aeronautical companies, well-known research organisations and academic groups, with an SME acting as the coordinator.
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The information about "DJINN" are provided by the European Opendata Portal: CORDIS opendata.
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