Noise sources localization in the rrj-95 aircraft pressure cabin by spherical microphone array. Part 1. Cockpit

Aeronautical and Space-Rocket Engineering

Design, construction and manufacturing of flying vehicles


DOI: 10.34759/vst-2020-2-37-51

Аuthors

Moshkov P. A.1*, Vasilenkov D. A.2**, Rubanovskii V. V.1***, Stroganov A. I.2****

1. Yakovlev Corporation Regional Aircraft Branch, 26, Leninskaya Sloboda str., Moscow, 115280, Russia
2. Siemens Industry Software, SISW, 9, B. Tatarskaya str, Moscow, 115184, Russia

*e-mail: moshkov89@bk.ru, p_moshkov@ssj.irkut.com
**e-mail: dmitri.vasilenkov@siemens.com
***e-mail: V_Rubanovsky@scac.ru
****e-mail: alexey.stroganov@siemens.com

Abstract

Acoustic comfort ensuring for passengers and cockpit personnel is one of the most important tasks while civil aircraft design. Particularly, at present there is a problem of the Russian civil aviation flight crewmembers diminished hearing. The risk factor for this disease developing is the noise in the cockpit.

The problem solution of ensuring acoustic comfort in the aircraft cabin is impossible without performing a complex of engineering and fundamental studies at all stages of creating a new sample of aeronautical engineering. One of the research trends is identification, localization and ranking the main noise sources in the aircraft-prototype cabin. The results of this study are necessary for ensuring optimal placement of sound insulation, sound absorbing and vibration damping materials in the onboard structure and issuing recommendations for noise reduction of the air conditioning system (ACS).

The article presents the results of noise sources localization and ranking by intensity in the cockpit of the RRJ-95 aircraft employing the Simcenter Solid Sphere 3DCAM54 spherical array.

Acoustic measurements were performed on the RRJ-95 experimental aircraft No. 95005 with a cockpit modified from the viewpoint of noise reduction and reverberation interference. The tests were carried out at a cruising flight mode at the altitude of 11 km with a flight speed determined by the Mach number of 0.8. The signal recording time was no less than 60 seconds. The measurements were performed while normal ACS operation, and when it was switched off.

As the result of the study, noise sources localization charts in the one-third octave frequency bands of 630-3150 Hz were obtained. The main noise sources in the cockpit are the ACS and the turbulent boundary layer noise. As far as the air-feeding ceases with the ACS turning-off, but the system fans do not, the ACS effect manifests itself with its turning-off from the side of the air supplying pipelines to the cockpit as well. Two basic mechanisms in the ACS noise can be outlined. They are turbulent flow noise in the air ducts, and the noise caused by the “rotor-with-stator” interaction in the fans. In the one-third octave frequency bands of 1000 Hz, in particular, the noise of turbulent flow dominates the noise caused by the “rotor-with-stator” interaction in the ACS fans, while the noise of the “rotor-with-stator” interaction is dominating in the one-third octave frequency bands of 2500 Hz.

Keywords:

civil aircraft, acoustic tests, microphone array, spherical beamforming, cabin noise, noise sources localization chart

References

  1. Kop’ev V.F. Polet. Obshcherossiiskii nauchno-tekhnicheskii zhurnal, 2018, no. 11, pp. 60-69.

  2. Vil’k M.F., Glukhovskii V.D., Kur’erov N.N., Pankova V.B., Prokopenko L.V. Meditsina truda i promyshlennaya ekologiya, 2017, no. 3, pp. 27-32.

  3. Vil’k M.F., Pankova V.B., Glukhovskii V.D., Kaptsov V.A. Meditsina ekstremal’nykh situatsii, 2018, vol. 20, no. 3, pp. 340-346.

  4. Moshkov P.A. Problems of civil aircraft design with regard to cabin noise requirements, Aerospace MAI Journal, 2019, vol. 26, no. 4. pp. 28-41. DOI: 10.34759/vst-2019-4-28-41

  5. Golubev A.Yu., Potokin G.A. Features of the Use of Intensimetry to Determine the Power of Acoustic Radiation of a Panel in the Field of Aerodynamic Pressure Pulsations, Measurement Techniques, 2019, vol. 61, no. 12. pp. 1228-1233. DOI: 10.1007/s11018-019-01574-5

  6. Miah K.H., Hixon E.L. Design and performance evaluation of a broadband three dimensional acoustic intensity measuring system, The Journal of the Acoustical Society of America, 2010, vol. 127, nо. 4, pp. 2338-2347. DOI: 10.1121/1.3327508

  7. Comesana D.F., Korbasiewicz M. Evaluation of electric vehicle interior noise focused on sound source identification and transfer path analysis. Proceedings of Aachen Acoustics Colloquium, 2015, 8 p.

  8. Nau C., Ag D. Beamforming within the modal sound field of a vehicle interior, 6th Berlin Beamforming Conference, 2016. BeBeC-2016-S9, 10 p.

  9. Colangeli C., Chiariotti P., Battista G., Castellini P., Janssens K. Clustering inverse beamforming for interior sound source localization: application to a car cabin mock-up, 6th Berlin Beamforming Conference, 2016. BeBeC-2016-D9, 17 p.

  10. Heilmann G., Meyer A., Döbler D. Time-domain beamforming using 3D-microphome arrays, Berlin Beamforming Conference, 2008. BeBeC-2008-20, 10 p.

  11. Battista G., Chiariotti P., Castellini P. Spherical harmonics decomposition in inverse acoustic methods involving spherical arrays, Journal of Sound and Vibration, 2018, vol. 433, pp. 425-460. DOI: 10.1016/j.jsv.2018.05.001

  12. Tiana-Roig E., Torras-Rosell A., Fernande-Grande E., Jeong Ch.H., Agerkvist F.T. Enhancing the beamforming map of spherical arrays at low frequencies using acoustic holography, 5th Berlin Beamforming Conference, 2014. BeBeC-2014-03, 14 p.

  13. Cariou C., Delverdier O., Paillasseur S., Lamotte L. Tool for interior noise sources detection in aircraft with comparison of configurations, 4th Berlin Beamforming Conference, 2012, no. BeBeC-2012-13, 8 p.

  14. Bersenev Yu.V., Viskova T.A., Belyaev I.V., Pal’chikovskii V.V., Kustov O.Yu., Ershov V.V., Burdakov R.V. Vestnik PNIPU. Mekhanika, 2016, no. 1. pp. 26-38. DOI: 10.15593/perm.mech/2016.1.02

  15. 15. Bychkov O.P., Demyanov M.A., Faranosov G.A. Localization of Dipole Noise Sources Using Planar Microphone Arrays, Acoustical Physics, 2019, vol. 65, no. 5, pp. 567–577. DOI: 10.1134/S1063771019050063

  16. Zaytsev M.Yu, Kopiev V.F., Velichko S.A., Belyaev I.V. Fly-over noise source localization during acoustic flight tests of advanced passenger aircraft, 25th AIAA/CEAS Aeroacoustics Conference, 2019. AIAA Paper no. 2019-2426. DOI: 10.2514/6.2019-2426

  17. Merino-Martiґ review of acoustic imaging methods using phased microphone arrays, CEAS Aeronautical Journal, 2019, vol. 10, no. 1, pp. 197–230. DOI:10.1007/s13272-019-00383-4

  18. Technical datasheet. Standard Beamforming and Near-field focusing processing. Simcenter Testlab Version 2019.1, 20 p.

  19. Lavrov V.N., Moshkov P.A., Popov V.P., Rubanovskiy V.V. Materialy Shestoi Otkrytoi Vserossiiskoi (XVIII nauchno-tekhnicheskaya) konferentsii po aeroakustike (22-27 September 2019, Zvenigorod), Moscow, TsAGI, 2019, pp. 241-242.

  20. Lavrov V., Moshkov P., Popov V., Rubanovskiy V. Study of the Sound Field Structure in the Cockpit of a Superjet 100. 25th AIAA/CEAS Aeroacoustics Conference. 2019. AIAA Paper No. 2019-2726. DOI: 10.2514/6.2019-2726

  21. Samokhin V., Moshkov P., Yakovlev A. Analytical model of engine fan noise, Akustika, 2019, vol. 32, pp. 168–173.

  22. Dmitriev V.G., Samokhin V.F., Khaletskii Yu.D. Polet. Obshcherossiiskii nauchno-tekhnicheskii zhurnal, 2019, no. 4, pp. 3-18.

  23. Baklanov V.S. Role of structural noise in aircraft pressure cockpit from vibration action of new-generation engines, Acoustical Physics, 2016, vol. 62, no. 4, pp. 456-461. DOI: 10.1134/S1063771016040047

  24. Abdrashitov R., Golubev A. Identification of sources of noise in the cabin and the definition of the local passage of sound energy through fuselage based on the results of in-flight measurements of the Superjet, 21st AIAA/CEAS Aeroacoustics Conference, 2015, AIAA Paper 2015-3114. DOI: 10.2514/6.2015-3114

  25. Hu N., Buchholz H., Herr M., Spehr C. Haxter S. Contributions of Different Aeroacoustic Sources to Aircraft Cabin Noise, 19th AIAA/CEAS Aeroacoustics Conference, 2013, AIAA Paper. 2013-2030. DOI:10.2514/6.2013-2030

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