Investigation of Different Active Flow Control Strategies for High Speed Jets Using Synthetic Jet Actuators

Low, Kerwin R.; Hadidi, Basman El; Andino, Marlyn Y.; Berdanier, Reid A.; Glauser, Mark

doi:10.2514/6.2010-4267

Cited by 13 publications

(6 citation statements)

References 12 publications

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“…As elsewhere in the world of flow control, attention has lately shifted toward unsteady perturbations, such as those produced by fluidic actuators (Koenig 2011, Low et al 2010, Maury et al 2011, plasma discharge actuators (Samimy et al 2007), and piezoelectric flappers (Butler & Calkins 2003). Kearney-Fischer et al (2011) employed pulsed plasma actuators to force subsonic and supersonic jets at frequencies up to approximately St = 3.…”

Section: Control Of Jet Noisementioning

confidence: 99%

Wave Packets and Turbulent Jet Noise

Jordan

Colonius

2013

Annu. Rev. Fluid Mech.

517

299

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Turbulent jet noise is a controversial fluid mechanical puzzle that has amused and bewildered researchers for more than half a century. Whereas numerical simulations are now capable of simultaneously predicting turbulence and its radiated sound, the theoretical framework that would guide noise-control efforts is incomplete. Wave packets are intermittent, advecting disturbances that are correlated over distances far exceeding the integral scales of turbulence. Their signatures are readily distinguished in vortical turbulence; the irrotational, evanescent near field; and the propagating far field. We review evidence of the existence, energetics, dynamics, and acoustic efficiency of wave packets. We highlight how extensive data available from simulations and modern measurement techniques can be used to distill acoustically relevant turbulent motions. The evidence supports theories that seek to represent wave packets as instability waves, or more general modal solutions of the governing equations, and confirms the acoustic importance of these structures in the aft-angle radiation of high subsonic and supersonic jets. The resulting unified view of wave packets provides insights that can help guide control strategies.

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Section: Control Of Jet Noisementioning

confidence: 99%

Wave Packets and Turbulent Jet Noise

Jordan

Colonius

2013

Annu. Rev. Fluid Mech.

517

299

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“…Moore [18], Jubelin [29], Ahuja et al [44], Lu [20], and Lepicovsky and Brown [45] used acoustic forcing (either channeled the acoustic signal to multiple locations at the proximity of the exit of the jet or used it in the jet settling chamber) to force a high subsonic jet around its column mode. Apart from acoustic drivers, researchers have reported limited use of glow discharge in low-Reynolds-number jets [30,40], miniature piezoelectric zero-netmass-flux devices in a high subsonic jet [46], and arc discharge and laser energy deposition in supersonic jets [35].…”

Section: Actuator Requirementsmentioning

confidence: 99%

High-Speed and High-Reynolds-Number Jet Control Using Localized Arc Filament Plasma Actuators

Samimy

Kearney-Fischer

Kim

et al. 2012

Journal of Propulsion and Power

102

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A class of plasma actuators called localized arc filament plasma actuators for high-speed and high-Reynoldsnumber flow and acoustic control has been developed at the Gas Dynamics and Turbulence Laboratory. Over the past several years, these high-bandwidth (0 to 200 kHz) and individually controlled actuators have been used successfully to excite the jet shear layer, jet column, and azimuthal instabilities in high subsonic and supersonic jets. The focus of this paper is to provide detailed information and sample results highlighting the capabilities and potential of the actuators and the control technique for mixing enhancement, noise mitigation, and flow and acoustic diagnostics. The jet, using three different nozzles, is operated over a large range of jet Mach numbers (0.9 to 1.65), stagnation temperature ratios (up to 2.5), and Reynolds numbers (0:2 10 6 to 1:65 10 6 ). Over this space of operating conditions, the jet is found to respond to control with a large range of forcing Strouhal numbers and azimuthal modes. The results reveal that the jet flowfield and acoustic far field can be dramatically altered, providing a powerful control tool in these practical high-speed and high-Reynolds-number jets.

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“…In the far-field, 6 microphones are located in an axial plane, 75 diameters from the center of the nozzle in increments of 15°from the jet axis. The data consists of simultaneous pressure signals, collected at 40.96 kHz from the 16 sensors, in 220 samples of 8192 data points each [16]. This paper The experimental configuration.…”

Section: Experimental Datamentioning

confidence: 99%

“…Experimentally, the diffculty lies in the need for extensive near-jet measurements. Hot-wire anemometry [13,14] is necessarily intrusive, and point-wise measurements are insufficient to identify sources unambiguously; pressure sensors [15,16] capture information from a limited vicinity and can be placed outside the shear layer to minimize their effect on the flow, but the interpretation of the signals is accordingly challenging. Recently, progress in high-speed PIV data acquisition [17] has introduced promising alternatives.…”

Section: Introductionmentioning

confidence: 99%

Properties of the Far-Field Pressure Signatures of Individual Jet Noise Sources

Lewalle

Low

Glauser

2012

International Journal of Aeroacoustics

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The detection of intermittent near-field noise sources is achieved by continuous wavelet transform of far-field acoustic data. The similarities between signals from three far-field microphones in the annular cone of acoustic radiation from coherent sources in a Ma = 0.6 cold jet are used to identify some of the loudest events. Cross-correlation of relevant band-passed excerpts identifies the most reliable matches, which occur at the rate of one every 20 dimensionless time units on average, and are intermittent in both time and frequency with no obvious pattern. Processing our database produced a catalog of over 9500 individual events with quantitative properties including the magnitude, frequency and time of detection at each microphone. The differences in detection times (lags) are distributed smoothly around the peak of cross-correlations for the raw data. We show how source magnitude and frequency depends on lags, and relate the lags to their relative source location.

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Investigation of Different Active Flow Control Strategies for High Speed Jets Using Synthetic Jet Actuators

Cited by 13 publications

References 12 publications

Wave Packets and Turbulent Jet Noise

Wave Packets and Turbulent Jet Noise

High-Speed and High-Reynolds-Number Jet Control Using Localized Arc Filament Plasma Actuators

Properties of the Far-Field Pressure Signatures of Individual Jet Noise Sources

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