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Multi-Modal Acoustic Flow Decomposition Examined in a Hard Walled Cylindrical Duct

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Flow fields could be of great interest in the study of sound propagation in aeroengines. For ducts with rigid boundaries, the fluid-resonant category may contribute significantly to unwanted noise. An understanding of the multi-modal propagation of acoustic waves in ducts is of practical interest for use in the control of noise in, for example, aero-engines, automotive exhaust and heating or ventilation systems. The purpose of our experiments was to test the acoustic energy transmission of duct modes based on studies carried out by the sound intensity technique. Sound intensity patterns in circular duct are discussed of modal energy analysis with particular reference to proper orthogonal decomposition and dynamic mode decomposition. The authors try to justify some advantages of the sound intensity experimental research in this area. In the paper, the wide-band sound signal propagated from source approximated with loudspeaker in hard-walled duct is imaged using a sound intensity – based approach. For a simple duct geometry, the sound intensity field is examined visually and by performing a modal decomposition greater insight into the acoustic structures is obtained. The image of sound intensity fields below and above “cut-off” frequency region are found to compare acoustic modes which might resonate in duct.
Słowa kluczowe
Rocznik
Strony
289--296
Opis fizyczny
Bibliogr. 21 poz., rys.
Twórcy
autor
  • West Pomeranian University of Technology Al. Piastów 17, 70-310 Szczecin, Poland
  • West Pomeranian University of Technology Al. Piastów 17, 70-310 Szczecin, Poland
Bibliografia
  • 1. Bennett G.J., O’Reilly C.J., Liu H. (2009), Modeling multi-modal sound transmission from point sources in ducts with flow using a wave-based method, 16th International Congress on Sound and Vibration, Krakow, Poland.
  • 2. Bennett G.J., Verdugo F.R., Stephens D.B. (2010), Shear layer dynamics of a cylindrical cavity for different acoustic resonance modes, 15th International Symposium on Applications of Laser Techniques to Fluid Mechanics, Lisbon.
  • 3. Epps B.P., Techet C.A.H. (2010), An error threshold criterion for singular value decomposition modes extracted from PIV data. Experiments in Fluids, 48, 355–367.
  • 4. Graftieaux L., Michard M., Grasjean N. (2001), Combining PIV, POD and vortex identification algorithms for the study of unsteady turbulent swirling flows, Measurement Science and Technology, 12, 1423-1429.
  • 5. Holmes P., Lumley J., Berkooz G. (1996), Turbulence, Coherent Structures, Dynamical Systems and Symmetry, Cambridge University Press, Cambridge.
  • 6. Joseph P., Morfey C.L., Loqwis C.R. (2003), Multi-mode sound transmission in duct with flow, Journal of Sound and Vibration, 264, 523-544.
  • 7. Lourenco L., Subramanian S., Ding Z. (1997), Time series velocity field reconstruction from PIV data, Measurement Science and Technology, 8,1533-1538.
  • 8. Lòeve M. (1955), Probability Theory, Springer, New York.
  • 9. Macdonald R., Skulina D., Campbell M., Valerie J-Ch., Marx D., Bailliet H. (2010), PIV and applied to high amplitude acoustic field at a tube termination, 10-eme Congres Francais d’Acoustique, Lyon.
  • 10. Moreau J., Patte-Rouland B., Rouland E. (2000), Particle image velocimetry and proper orthogonal decomposition, Euromech 411, – European Mechanics Society, section 5.
  • 11. Oberleithner K., Sieber M., Nayeri C. N., Paschereit C.O., Petz C., Hege H.C., Noack B. R., Wygnanski I. (2011), Three-dimensional coherent structures in a swirling jet undergoing vortex breakdown: stability analysis and empirical mode construction, Journal of Fluid Mechanics, 679, 383–414.
  • 12. Raffel M., Willert C., Kompenhans J. (2007), Particle Image Velocimetry, Springer, Berlin, New York.
  • 13. Schmid P.J. (2010), Dynamic mode decomposition of numerical and experimental data, Journal of Fluid Mechanics, 656, 5–28.
  • 14. Sung J., Yoo J.Y. (2001), Tree-dimensional phase averaging of time-resolved PIV measurement data, Measurement Science and Technology, 12, 655-662.
  • 15. Verkaik A.C., Beulen A.M.M., Bogaerds A.C.B., Rutten M.C.M., van de Vosse F.N. (2009), Estimation of volume flow in curved tubes based on analytical and computational analysis of axial velocity profiles, Physics of Fluids, 21, 023602.
  • 16. Weyna S. (2010), Acoustic intensity imaging methods for in-situ wave propagation, Archives of Acoustics, 35(2), 265-273.
  • 17. Weyna S. (2012), Acoustics flow field visualization using sound intensity and laser anemometry methods, Proceeding of XX Fluid Mechanics Conference, S27-2, Gliwice.
  • 18. Weyna S., Mickiewicz W., Pyła M., Jabłoński M. (2013), Experimental acoustic flow analysis inside a section of an acoustic waveguide, Archives of Acoustics, 38(2), 211-216.
  • 19. Mickiewicz W., Jabłoński M., Pyła M. (2011), Automatized system for 3D sound intensity field measurement, Proceedings of 16th International Conference on Methods and Models in Automation and Robotics, Międzyzdroje.
  • 20. Weyna, S., Mickiewicz W., (2014), Phase-Locked Particle Image Velocimetry Visualization of the Sound Field at the Outlet of a Circular Tube, Acta Physica Polonica A, 125(4-A), A-108‒112.
  • 21. Mickiewicz W. (2014), Systematic error of acoustic particle image velocimetry and its correction, Metrol. Meas. Syst., accepted for publication in 21(3).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f2f07060-2a3e-4f1c-abda-f03ed72c30fb
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