In this paper, we shall examine the feasibility of using time-resolved hybrid RANS-LES (HRLES) simulation data to perform noise source localization studies on a hot jet from a conic nozzle operating at pressure matched conditions. The source localization will be performed using a traditional delay-and-sum beamforming technique. This technique requires time-resolved data on a phased array of microphones located in the acoustic farfield of the jet; this data will be obtained by coupling the HRLES simulation with a Ffowcs Williams and Hawkings equation noise prediction code. Using insights gained from experimental beamforming, we shall show that beamforming using CFD data is a feasible, and potentially less expensive and time-saving, alternative to constructing complicated phased array systems for performing these calculations on experimental data.
I. Background and MotivationNoise from supersonic jets falls primarily into two categories, either turbulent mixing noise or shock noise. Of these two, turbulent mixing noise is comprised of two sources, both of which are broadband in nature: (a) the eddy Mach wave radiation which propagates downstream relative to the jet flow direction, and (b) fine scale turbulence which is omni-directional. On the other hand, shock noise can be either narrowband (also called jet screech) or broadband (called broadband shock associated noise, or BSAN), and propagates towards the sideline or upstream direction relative to the jet flow. Shock noise most commonly occurs when a convergent-divergent nozzle is operated at off-design conditions. However, jets exhausting from military nozzles typically contain shocks even when operated at design conditions; this is primarily because the internal contour of these nozzles are not shaped in order to ensure a smooth expansion of the gas.Jet noise contributes significantly to noise-induced hearing loss, structural degradation of airframes, and restrictions to maintenance, testing, and training schedules due to noise pollution of communities surrounding military installations. To this end, it is imperative to gain a better understanding of jet noise generation mechanisms in a turbulent flow. Such an understanding is essential if one is to construct predictive models for jet noise. One approach that has been considered is the beamforming technique using a phased array of microphones. 1 This technique has been shown to provide an estimate of the distribution of noise sources in a