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MY Research
My Ph.D. research is within the area of Jet Aeroacoustics; we seek predict and minimize the aerodynamic noise emitted by jet flows. Of particular interest is the part of the acoustic spectrum where the sound intensity reaches its peak: at low frequencies and downstream angles (shown in blue in fig. 2). This noise is associated with the large scale structures of the flow, in turn related to the instabilities of the inflectional mean velocity profiles.
My work revolves around these instabilities and is an extension of the earlier work by Suzuki and Colonius (JFM, 2006) who showed the hydrodynamic pressure field of the jet (the area just outside the jet shear layer) to be consistent with that of the linear instabilities of the turbulent mean jet flow. I extend their work in two ways:
Linear stability characteristics of asymmetric jets Figure 3: Chevrons on the B787 (www.boeing.com)Chevron nozzles create a shift in the acoustic spectrum, reducing peak noise levels (at low-frequencies) while slightly increasing noise at higher frequencies. The chevrons introduce streamwise vorticity into the flow, enhancing mixing and shortening the potential core. The high-frequency penalty is due to increased turbulence intensity near the nozzle while the low-frequency benefit is related to the retardation of the large-scale structures of the flow. Inspired by the success of the linear instability wave as a model for the large scale structures of axisymmetric jets, we extend the theory to asymmetric jets. To summarize our results:
The concept having been so demonstrated we are now investigating optimization schemes whereby the chevron geometry may be varied to maximally retard large scale structures. The results of this work will be presented at a future date. For more background and details please check out the articles below:
Nonlinear and non-parallel stability models for turbulent jets
The modes obtained from linear stability analysis of subsonic flows are non-radiating, meaning that their signature
cannot be detected far away from the turbulent region. They do however dominate the linear hydrodynamic region
(Suzuki & Colonius, JFM 2006) near the jet. Further out the pressure field is dominated by an algebraicly decaying
acoustic field. To obtain a globally valid solution these two fields must be matched up (this is referred to as
matched asymptotics, see Tam & Morris, JFM 1980). An alternative is to explicitly include non-parallel effects
in the analysis.
The predictions shown in fig. 5 are in close agreement with data past saturation after which the measurements decay at a lower rate and have a higher phase-speed as well (as judged from the slope of the phase-curve). This is due to downstream acoustic contamination in the measurements (which consist of both hydrodynamic and acoustic fluctuations, while those predicted by LST/PSE are purely hydrodynamic). Fig. 6 show an analogous comparison where we have filtered the measurements via proper orthogonal decomposition. Excellent comparisons are obtained, even beyond the closure of the potential core.
The predictions above are obtained via linear PSE. To obtain far-field predictions at low frequencies (below St = 0.2, say), it is imperative that the near-field wave-packet be accurately modeled far downstream. This requires that we account for the nonlinear interactions. Fig. 7 shows example results obtained using the nonlinear PSE on a planar mixing layer, demonstrating well the ability of the nonlinear PSE to model quite complicated physical phenomena.
We are currently validating our nonlinear PSE for the jet flow. Check back for updates! For more background and details please check out the articles below:
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