Reduced-Order Model for the Prediction of Supersonic Aircraft Jet Noise

ABSTRACT:Innovative Technology Applications Company, LLC proposes the development of an analytical tool that predicts jet noise and engine performance for current and future generations of supersonic two- and three-stream engines. The goal is to provide robust and reliable noise predictions in minutes that can be used for design optimization. The physics-based approach will be capable of addressing both the noise resulting from engine/nozzle designs and also the effects of configuration changes.BENEFIT:Current engine performance and noise prediction models are either too costly to use in a design process (e.g. RANS and LES simulations) or are too limited in the geometry they can address (e.g. restricted to axi-symmetric nozzles). In contrast, the current approach promises robust solutions with reasonable accuracy in minutes for nozzles with arbitrary geometry. This level of performance will allow a much tighter integration of complex nozzle configurations (and resulting noise considerations) into the overall design process. This capability will lead both to improved performance and also reduced noise levels compared to what can be achieved with current methods.