Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Tests on Ventilation Control of PRAIRIE for Improving Acoustic Stealth Performance

음향스텔스 성능 향상을 위한 PRAIRIE 공기 분사량 제어 실험

  • Lee, Heechang (Maritime Technology Research Institute, Agency for Defense Development) ;
  • Moon, Youngsun (Maritime Technology Research Institute, Agency for Defense Development) ;
  • Kang, Seunghee (Maritime Technology Research Institute, Agency for Defense Development)
  • 이희창 (국방과학연구소 해양기술연구원) ;
  • 문영선 (국방과학연구소 해양기술연구원) ;
  • 강승희 (국방과학연구소 해양기술연구원)
  • Received : 2020.06.29
  • Accepted : 2020.09.25
  • Published : 2020.12.05
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Abstract

PRAIRIE(Propeller Air Induced Emission) system is a kind of underwater radiated noise suppression systems to reduce the probability of the identification or classification of our warship's acoustic signature by an enemy ship. It is effective in case of strong cavitation events. This is because air bubbles emitted from the PRAIRIE system mitigate drastic collapses of the cavity bubbles that can generate an intense shock wave. However, when the PRAIRIE system is operated in a non or weak cavitation condition, it might increase the total level of underwater radiated noise and induce the acoustic signatures. Therefore, this paper presents the trial results on ventilation control of PRAIRIE to find a more efficient operation depend on the cavitation condition. Then, we show a variation of the amplitude modulation characteristics according to ventilation control.

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References

  1. J. H. Spence, "A Summary of Existing and Future Potential Treatments for Reducing Underwater Sounds from Oil and Gas Industry Activities," OCEANS 2007, pp. 1-15, 2007.
  2. A. D. Waite, "Sonar for Practising Engineers," Wiley, 2002.
  3. ISO 17208-1:2016, Underwater Acoustics : Quantities and Procedures for Description and Measurement of Underwater Sound from Ships.
  4. Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 29, No. 5, pp. 646-652, 2019.
  5. M. A. Hosien, S. M. Selim, "Acoustic Detection of Cavitation Inception," Journal of Applied Fluid Mechanics, Vol. 10, No. 1, pp. 31-40, 2017. https://doi.org/10.18869/acadpub.jafm.73.238.25638
  6. C. M. Plumb, A. M. Kendrick, "Surface Ship Noise Reduction," Journal of Naval Engineering, Vol. 26, No. 3, pp. 377-383, 1981.
  7. Y. Lecoffre, "Cavitation: Bubble Trackers," CRC Press, 1999.
  8. M. Cheong, S. Hwang, S. Lee and J. Kim, "Multiband Enhancement for DEMON Processing Algorithms," Journal of the Acoustical Society of Korea, Vol. 32, No. 2, pp. 138-146, 2013. https://doi.org/10.7776/ASK.2013.32.2.138
  9. H. Lee, T. Kim, K. Son and P. Lee, "Cavitation Noise Detection Method using Continuous Wavelet Transform and DEMON Signal Processing," Journal of the Korea Institute of Military Science and Technology, Vol. 20, No. 4, pp. 505-513, 2017. https://doi.org/10.9766/KIMST.2017.20.4.505
  10. J. Lim, W. Hong and Y. Pyeon, "Hidden Period Estimation in the Broad Band Propeller Noise Using Auto-Correlation and Filter-Bank Structure," Journal of Korea Information and Communications Society, Vol. 39B, No. 8, pp. 538-543, 2014.
  11. J. Kim, S. Hwang and C. Lee, "A DEMON Processing Robust to Interference of Tonals," Journal of the Acoustical Society of Korea, Vol. 31, No. 6, pp. 384-390, 2012. https://doi.org/10.7776/ASK.2012.31.6.384
  12. A. Napolitano, "Cyclostationary Processes and Time Series: Theory, Applications, and Generalizations," Elsevier Science & Technology, 2019.