Hostname: page-component-8448b6f56d-42gr6 Total loading time: 0 Render date: 2024-04-24T16:34:38.926Z Has data issue: false hasContentIssue false

Parabolized stability analysis of jets from serrated nozzles

Published online by Cambridge University Press:  15 January 2016

Aniruddha Sinha*
Affiliation:
Mechanical Engineering, California Institute of Technology, Pasadena, CA 91125, USA Aerospace Engineering, Indian Institute of Technology Bombay, Powai 400 076, India
Kristján Gudmundsson
Affiliation:
Mechanical Engineering, California Institute of Technology, Pasadena, CA 91125, USA Quintiq, Utopialaan 25, 5232 CD, ’s-Hertogenbosch, The Netherlands
Hao Xia
Affiliation:
Aeronautical Engineering, Loughborough University, Leicestershire LE11 3TU, UK
Tim Colonius
Affiliation:
Mechanical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
*
Email address for correspondence: as@aero.iitb.ac.in

Abstract

We study the viscous spatial linear stability characteristics of the time-averaged flow in turbulent subsonic jets issuing from serrated (chevroned) nozzles, and compare them to analogous round jet results. Linear parabolized stability equations (PSE) are used in the calculations to account for the non-parallel base flow. By exploiting the symmetries of the mean flow due to the regular arrangement of serrations, we obtain a series of coupled two-dimensional PSE problems from the original three-dimensional problem. This reduces the solution cost and manifests the symmetries of the stability modes. In the parallel-flow linear stability theory (LST) calculations that are performed near the nozzle to initiate the PSE, we find that the serrated nozzle reduces the growth rates of the most unstable eigenmodes of the jet, but their phase speeds are approximately similar. We obtain encouraging validation of our linear PSE instability wave results vis-à-vis near-field hydrodynamic pressure data acquired on a phased microphone array in experiments, after filtering the latter with proper orthogonal decomposition (POD) to extract the energetically dominant coherent part. Additionally, a large-eddy simulation database of the same serrated jet is investigated, and its POD-filtered pressure field is found to compare favourably with the corresponding PSE solution within the jet plume. We conclude that the coherent hydrodynamic pressure fluctuations of jets from both round and serrated nozzles are reasonably consistent with the linear instability modes of the turbulent mean flow.

Type
Papers
Copyright
© 2016 Cambridge University Press 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alkislar, M. B., Krothapalli, A. & Butler, G. W. 2007 The effect of streamwise vortices on the aeroacoustics of a Mach 0.9 jet. J. Fluid Mech. 578, 139169.Google Scholar
Amestoy, P. R., Duff, I. S., L’Excellent, J.-Y. & Koster, J. 2001 A fully asynchronous multifrontal solver using distributed dynamic scheduling. SIAM J. Matrix Anal. Applics. 23 (1), 1541.CrossRefGoogle Scholar
Baker, C. T. H. 1977 The Numerical Treatment of Integral Equations. Clarendon.Google Scholar
Baqui, Y., Agarwal, A., Cavalieri, A. V. G. & Sinayoko, S.2013 Nonlinear and linear noise source mechanisms in subsonic jets. In 19th AIAA/CEAS Aeroacoustics Conference, AIAA Paper 2087.Google Scholar
Batchelor, G. K. & Gill, A. E. 1962 Analysis of the stability of axisymmetric jets. J. Fluid Mech. 14 (4), 529551.Google Scholar
Bridges, J. E. & Brown, C. A.2004 Parametric testing of chevrons on single flow hot jets. In 10th AIAA/CEAS Aeroacoustics Conference, AIAA Paper 2824.Google Scholar
Cavalieri, A. V. G., Rodríguez, D., Jordan, P., Colonius, T. & Gervais, Y. 2013 Wavepackets in the velocity field of turbulent jets. J. Fluid Mech. 730, 559592.CrossRefGoogle Scholar
Crighton, D. G. & Gaster, M. 1976 Stability of slowly diverging jet flow. J. Fluid Mech. 77 (2), 397413.Google Scholar
Goldstein, M. E. & Leib, S. J. 2005 The role of instability waves in predicting jet noise. J. Fluid Mech. 525, 3772.Google Scholar
Gudmundsson, K. & Colonius, T.2007 Spatial stability analysis of chevron jet profiles. In 13th AIAA/CEAS Aeroacoustics Conference, AIAA Paper 3599.Google Scholar
Gudmundsson, K. & Colonius, T. 2011 Instability wave models for the near-field fluctuations of turbulent jets. J. Fluid Mech. 689, 97128.Google Scholar
Herbert, T.1994 Parabolized stability equations. In Special Course on Progress in Transition Modelling. AGARD Rep. 793, pp. 4/1–34.Google Scholar
Herbert, T. 1997 Parabolized stability equations. Annu. Rev. Fluid Mech. 29, 245283.Google Scholar
Jordan, P. & Colonius, T. 2013 Wave packets and turbulent jet noise. Annu. Rev. Fluid Mech. 45, 173195.CrossRefGoogle Scholar
Kawahara, G., Jiménez, J., Uhlmann, M. & Pinelli, A. 2003 Linear instability of a corrugated vortex sheet – a model for streak instability. J. Fluid Mech. 483, 315342.Google Scholar
Khorrami, M. R. & Malik, M. R. 1993 Efficient computation of spatial eigenvalues for hydrodynamic stability analysis. J. Comput. Phys. 104 (1), 267272.Google Scholar
Lehoucq, R. B., Sorensen, D. C. & Yang, C. 1998 ARPACK Users’ Guide: Solution of Large-scale Eigenvalue Problems with Implicitly Restarted Arnoldi Methods. SIAM.Google Scholar
Li, F. & Malik, M. R. 1997 Spectral analysis of parabolized stability equations. Comput. Fluids 26 (3), 279297.Google Scholar
Lin, C. C. 1955 The Theory of Hydrodynamic Stability. Cambridge University Press.Google Scholar
Lumley, J. L. 1967 The structure of inhomogeneous turbulent flows. In Atmospheric Turbulence and Radio Wave Propagation (ed. Yaglom, A. M. & Tatarsky, V. I.), pp. 166178. Nauka.Google Scholar
Mankbadi, R. & Liu, J. T. C. 1984 Sound generated aerodynamically revisited: large-scale structures in a turbulent jet as a source of sound. Proc. R. Soc. Lond. A 311 (1516), 183217.Google Scholar
Mollo-Christensen, E. 1967 Jet noise and shear flow instability seen from an experimenter’s point of view. J. Appl. Mech. 34 (1), 17.Google Scholar
Opalski, A. B., Wernet, M. P. & Bridges, J. E.2005 Chevron nozzle performance characterization using stereoscopic DPIV. In 43rd AIAA Aerospace Sciences Meeting and Exhibit, AIAA Paper 444.Google Scholar
Rodríguez, D., Cavalieri, A. V. G., Colonius, T. & Jordan, P. 2015 A study of linear wavepacket models for subsonic turbulent jets using local eigenmode decomposition of PIV data. Eur. J. Mech. (B/Fluids) 49, 308321.Google Scholar
Sinha, A., Rodríguez, D., Brès, G. & Colonius, T. 2014 Wavepacket models for supersonic jet noise. J. Fluid Mech. 742, 7195.CrossRefGoogle Scholar
Sirovich, L. 1987 Turbulence and the dynamics of coherent structures. Parts I–III. Q. Appl. Maths XLV (3), 561590.Google Scholar
Suzuki, T. & Colonius, T. 2006 Instability waves in a subsonic round jet detected using a near-field phased microphone array. J. Fluid Mech. 565, 197226.Google Scholar
Tam, C. K. W. & Burton, D. E. 1984 Sound generated by instability waves of supersonic flows. Part 1. Two-dimensional mixing layers. J. Fluid Mech. 138, 249271.CrossRefGoogle Scholar
Tanna, H. K. 1977 An experimental study of jet noise. Part I. Turbulent mixing noise. J. Sound Vib. 50 (3), 405428.Google Scholar
Uzun, A., Alvi, F. S., Colonius, T. & Hussaini, M. Y. 2015 Spatial stability analysis of subsonic jets modified for low-frequency noise reduction. AIAA J. 53 (8), 23352358.CrossRefGoogle Scholar
Xia, H. & Tucker, P. G. 2012 Numerical simulation of single-stream jets from a serrated nozzle. Flow Turbul. Combust. 88 (1–2), 318.Google Scholar
Xia, H., Tucker, P. G. & Eastwood, S. J. 2009 Large-eddy simulations of chevron jet flows with noise predictions. Intl J. Heat Fluid Flow 30, 10671079.CrossRefGoogle Scholar