TY - GEN
T1 - Comparison of near-field events and their far-field acoustic signatures in experimental and numerical high speed jets
AU - Kan, Pinqing
AU - Lewalle, Jacques
AU - Daviller, Guillaume
N1 - Funding Information:
This work was supported in part by a AFOSR grant, Spectral Energies, a Syracuse University Graduate Fellowship and by an SU Research Growth Award of Mechanical Department. We are indebted to the members of the Glauser group at SU for the data acquisition and processing and many discussions, particularly with Mark Glauser, Kerwin Low, Patrick Shea and Zach Berger; and at Pprime with Bernd Noack, Peter Jordan, Joel Delville and Jean-Paul Bonnet. Several SU undergraduate students, G. Freed-land, A. Tenney and V. Holcomb, participated in verification of some of the algorithms.
PY - 2013
Y1 - 2013
N2 - Two different approaches are applied to near-field (NF) velocity field and far-field (FF) pressure signals to gain better understanding of the flow structures that contribute to high speed jet noise. We use laboratory data from a 10kHz TRPIV experiment data of Mach 0.6 jet and numerical data from an 80kHz LES database at Mach 0.9 jet. From the NF, over 20 representative diagnostics are extracted as time traces, of which about half give high correlation with the far-field. Utilizing cross-correlation and wavelet analysis, we locate the frequency band where information is transferred from NF to FF. Furthermore we identify excerpts in time and frequency domain that act as major correlation contributors. The lists of events based on FF only (acoustic footprints) and on NF-FF correlations are compared and show good similarity, which validates both techniques. Finally, the lists of events are separated into categories based on their properties, including magnitude, frequency, and time of occurrence.
AB - Two different approaches are applied to near-field (NF) velocity field and far-field (FF) pressure signals to gain better understanding of the flow structures that contribute to high speed jet noise. We use laboratory data from a 10kHz TRPIV experiment data of Mach 0.6 jet and numerical data from an 80kHz LES database at Mach 0.9 jet. From the NF, over 20 representative diagnostics are extracted as time traces, of which about half give high correlation with the far-field. Utilizing cross-correlation and wavelet analysis, we locate the frequency band where information is transferred from NF to FF. Furthermore we identify excerpts in time and frequency domain that act as major correlation contributors. The lists of events based on FF only (acoustic footprints) and on NF-FF correlations are compared and show good similarity, which validates both techniques. Finally, the lists of events are separated into categories based on their properties, including magnitude, frequency, and time of occurrence.
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M3 - Conference contribution
AN - SCOPUS:85017282564
T3 - International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2013
BT - International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2013
PB - TSFP-8
T2 - 8th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2013
Y2 - 28 August 2013 through 30 August 2013
ER -