Volume 19, Issue 4 (2019)                   Modares Mechanical Engineering 2019, 19(4): 815-823 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ramezanizadeh M, Faramarzi S. Experimental Investigation of Dust Influences on the Airplanes Sound Pressure Emission. Modares Mechanical Engineering. 2019; 19 (4) :815-823
URL: http://journals.modares.ac.ir/article-15-18440-en.html
1- Aerial Propulsion Department, Aerospace Engineering Faculty, Shahid Sattari Aeronautical University of Science & Technology, Tehran, Iran
Abstract:   (1770 Views)
The sound emission of airplanes has some applications such as localization, classification, and detecting fault. Therefore, investigation of issues, which affects the airplanes sounds, is important. In recent years, pollution of dust in all cities of the Iran shows an increasing trend. In the literature, all variables affecting the sound emission such as temperature, pressure, and relative humidity have been investigated, but there are not any researches about the influence of dust on the atmospheric attenuation coefficient. The experimental tests have been carried out with 3 sensitive microphones, 950m away from the takeoff area of Imam Khomeini international airport for 6 different airplanes, including Airbus 320, 319, 321, Boeing 747, 777, and Embraer 190 at different atmospheric conditions. The air temperature was in the range of 20-40˚C and the relative humidity was in the range of 2-34%. At first, the experimental setup was validated by available data, considering different temperatures and relative humidities. In this research, a new variable, β, has been introduced to detect the dust effect, which is defined as: the difference between the calculated sound pressure level at no dust and the measured sound pressure level while the dust density is 1μgr/m3. Airbus 320 has the minimum dust atmospheric attenuation coefficient value (0.01202db*m3/μgr) and its maximum is related to the Embraer 190 (0.0154db*m3/μgr). Finally, the obtained results show that increasing in dust concentration (PM2.5 and PM10) leads to increase in atmospheric attenuation coefficient between airplane and microphones area, and the measured sound pressure level decreases.
Full-Text [PDF 623 kb]   (316 Downloads)    

Received: 2018/04/4 | Accepted: 2018/11/11 | Published: 2019/04/6

References
1. International Organization for Standardization. Unattended monitoring of aircraft sound in the vicinity of airports [Internet]. Geneva: ISO; 2009 [cited 2018 Mar 12]. Available from: https://www.iso.org/obp/ui/#iso:std:iso:20906:ed-1:v1:en [Link]
2. Genescà M, Romeu J, Arcos R, Martín S. Measurement of aircraft noise in a high background noise environment using a microphone array. Transportation Research Part D Transport and Environment. 2013;18:70-77. [Link] [DOI:10.1016/j.trd.2012.09.002]
3. Genescà M. Directional monitoring terminal for aircraft noise . Journal of Sound and Vibration. 2016;374:77-91. [Link] [DOI:10.1016/j.jsv.2016.04.004]
4. Lo KW, Perry SW, Ferguson BG. Aircraft flight parameter estimation using acoustical Lloyd's mirror effect. IEEE Transactions on Aerospace and Electronic Systems. 2002;38(1):137-151. [Link] [DOI:10.1109/7.993235]
5. Sheikh PA, Uhl Ch. Airplane noise: A pervasive disturbance in Pennsylvania Parks, USA. Journal of Sound and Vibration. 2004;274(1-2):411-420. [Link] [DOI:10.1016/j.jsv.2003.09.014]
6. Martín Román SR. Passive acoustic method for aircraft localization [Dissertation]. Barcelona: Polytechnic University of Catalonia; 2013. [Link]
7. International Organization for Standardization. Attenuation of sound during propagation outdoors-part 2: General method of calculation [Internet]. Geneva: ISO; 1996. Available from: https://www.iso.org/standard/20649.html [Link]
8. ANSI/ASA S12.56/ISO 3746. Acoustics - Determination Of Sound Power Levels And Sound Energy Levels Of Noise Sources Using Sound Pressure - Survey Method Using An Enveloping Measurement Surface Over A Reflecting Plane (A Nationally Adopted International Standard) [Internet]. New York: American National Standard: 2010 [cited 2018 Mar 3]. Available from: https://webstore.ansi.org/Standards/ASA/ANSIASAS12562011ISO37462010-1630515 [Link]
9. Schäffer B, Plüss S, Thomann G. Estimating the model-specific uncertainty of aircraft noise calculations. Applied Acoustics. 2014;84:58-72. [Link] [DOI:10.1016/j.apacoust.2014.01.009]
10. Sahai A, Snellen M, Simons D. Objective quantification of perceived differences between measured and synthesized aircraft sounds. Aerospace Science and Technology. 2018;72:25-35. [Link] [DOI:10.1016/j.ast.2017.10.035]
11. Martín S, Genescà M, Romeu J, Pàmies T. Aircraft tracking by means of the Acoustical Doppler Effect. Aerospace Science and Technology. 2013;28(1):305-314. [Link] [DOI:10.1016/j.ast.2012.11.011]
12. Harris CM. Absorption of sound in air versus humidity and temperature. The Journal of the Acoustical Society of America. 1966;40(1):148-159. [Link] [DOI:10.1121/1.1910031]
13. Sanchez-Perez LA, Sanchez-Fernandez LP, Shaout A, Suarez-Guerra S. Airport take-off noise assessment aimed at identify responsible aircraft classes. Science of the Total Environment. 2016;542(Part A):562-577. [Link]
14. Tarabini M, Moschioni G, Asensio C, Bianchi D, Saggin B. Unattended acoustic events classification at the vicinity of airports. Applied Acoustics. 2014;84:91-98. [Link] [DOI:10.1016/j.apacoust.2014.03.013]
15. Moffat RJ. Describing the uncertainties in experimental results. Experimental Thermal and Fluid Science. 1988;1(1):3-17. [Link] [DOI:10.1016/0894-1777(88)90043-X]

Add your comments about this article : Your username or Email:
CAPTCHA