Share:


Vibroacoustic soundproofing for helicopter interior

Abstract

As VIP passengers generally want to fly civil and executive jets where vibratory and acoustic environment is smoother than on the normal jets. Helicopter interior noise is generated by main and tail rotors, engines, main gearbox, and aerodynamic turbulence (Lu et al., 2018). Because of these sources, the tonal and broadband noise is incredibly high and needs to be reduced. Conventional passive system (soundproofing) is the best way to control the acoustic of the cabin whereas active systems (active vibration and noise control) are not completely reliable or applicable. The design of the soundproofing may be researched by simulation using one of these programs: ANSYS, SOLIDWORKS 2020 and ACOUSTIC analysis Vibroacoustic Monitoring (VAM) approach. The analyses were performed from frequency ranges, 5-10Hz and 0-2000Hz then transformed into frequency velocity domain using Proudman’s equations (Lu et al., 2017). Soundproofed ANSYS models are validated using instantaneous sound pressure levels measured within the helicopter during flight. The acoustic detection method for GAZELLE is also performed successfully in SOLIDWORKS for aluminum alloy and titanium alloy, this proves the relationship between acoustic power levels and material configuration. The noise coefficient responses of interior materials are used as main index for soundproofing helicopter interiors. The results of this research can be used for implementation of VAM approach for soundproofing helicopter interiors.

Keyword : vibro-acoustic, soundproofing, sound pressure level, VAM approach, DAVA approach, sound absorption coefficient material

How to Cite
Nagaraj, P., Elmenshawy, A. A. A. E., & Alomar, I. (2023). Vibroacoustic soundproofing for helicopter interior. Aviation, 27(1), 57–66. https://doi.org/10.3846/aviation.2023.18629
Published in Issue
Mar 24, 2023
Abstract Views
387
PDF Downloads
412
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Abdelghani, M., Hermans, L., & Van der Auweraer, H. (1999). A state space approach to output-only vibro-acoustical modal analysis. In Proceedings of the SPIE – The International Society for Optical Engineering (Vol. 3727, pp. 1789–1793). ResearchGate.

Agusta Westland European Aviation. (2013). Safety agency operational evaluation board report. Köln, Germany.

Airvectors. (2021). Sud aviation gazelle helicopter. http://www.airvectors.net/avgazel.htmlfonds

Buning, P., G., & Pulliam, T., H. (2011, June 27–30). Cartesian off-body grid adaption for viscous time accurate flow simulation. In 20th AIAA Computational Fluid Dynamics Conference (AIAA 2011-3693). Honolulu, Hawaii. Aerospace Research Central. https://doi.org/10.2514/6.2011-3693

Globalair. (2020). Aerospatiale Gazelle SA 341. https://www.globalair.com/aircraft-for-sale/Specifications?specid=1592

Helicopter University. (2018). Helicopter rotor limitation during forward motion. https://helicopteruniversity.files.wordpress.com/2018/02/text_2004_10_28_hubschrauber-1-161.jpg?w=748

Holst, T., L., & Pulliam, T. H. (2009, June 22–25). Overset solution adaptive grid approach applied to hovering rotorcraft flows. In 27th AIAA Applied Aerodynamics Conference. San Antonio, TX. https://doi.org/10.2514/6.2009-3519

Li, Y., & Xuan, Y. (2017) Thermal characteristics of helicopters based on integrated fuselage structure/engine model. International Journal of Heat and Mass Transfer, 115, Part A, 102–114. https://doi.org/10.1016/j.ijheatmasstransfer.2017.07.038

Lu, Y., Wang, F., & Ma, X. (2018). Helicopter interior noise reduction using compound periodic struts. Journal of Sound and Vibration, 435, 264–280. https://doi.org/10.1016/j.jsv.2018.07.024

Lu, Y., Wang, F., & Ma, X. (2017). Research on the vibration characteristics of a compound periodic strut used for a helicopter cabin noise reduction. Shock and Vibration, 2017. https://doi.org/10.1155/2017/4895026

Meakin, R. L. (1995, June 19–22). An efficient means of adaptive refinement within systems of overset grids. In The 12th Computational Fluid Dynamics Conference (Paper AIAA-1995-1722). San Diego, CA. https://doi.org/10.2514/6.1995-1722

Mucchi, E., Pierro, E., & Vecchio, A. (2012). Advanced vibro-acoustic techniques for noise control in helicopters. In D. Siano, Noise control, reduction and cancellation solutions in engineering. IntechOpen. https://doi.org/10.5772/27797

Noonan, K. W., Yeager Jr, W. T., Singelton, J. D., Wilbur, M. L., & Mirick, P. H. (2001). Wind tunnel evaluation of a model helicopter main-rotor blade with slotted airfoils at the tip (NASA TP-2001-211260). NASA.

Pierro, E., Mucchi, E., Soria, L., & Vecchio, A. (2009). On the vibro-acoustical operational modal analysis of a helicopter cabin. Mechanical Systems and Signal Processing, 23(4), 1205–1217. https://doi.org/10.1016/j.ymssp.2008.10.009

Park, M. A. (2011, June 27–30). Low boom configuration analysis with FUN3D adjoint simulation framework. In The 29th AIAA Applied Aerodynamics Conference (AIAA-2011-3337). Honolulu, HI. https://doi.org/10.2514/6.2011-3337

Slide Player. (2019). Aerodynamic performance helicopter [slides]. https://slideplayer.com/slide/3493118/

Simon, D., R., & Savage, J. C. (1975). Flight test of the Aerospatiale SA-342 helicopter. Army Air Mobility Research and Development laboratory Fort Eustis Va Eustis Directorate. https://doi.org/10.21236/ADA016921

This Day in Aviation. (2021). Fenestron Gazelle helicopter. https://www.thisdayinaviation.com/tag/fenestron/

Vario Helicopter. (2020). Gazelle Westland Variable. https://www.vario- helicopter.biz/de/images

Wang, F., Lu, Y., Lee, H. P., Yue, H. (2020). A novel periodic mono-material strut with geometrical discontinuity for helicopter cabin noise reduction. Aerospace Science and Technology, 105, 105985. https://doi.org/10.1016/j.ast.2020.105985

Wikipedia. (n.d.). Helicopters. https://en.wikipedia.org/wiki/Main_Page

Yamauchi, G. K. (2018). A Summary of NASA Rotary Wing Research: Circa 2008–2018. Ames Research Center Moffett Field, California.