Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

Acoustic Noise Prediction and Reduction Reasearch of Helicopter Ducted Tail Rotor

Authors
Chaopu Zhang, Mingxu Yi, Jun Huang, Liu Yang
Corresponding Author
Chaopu Zhang
Available Online September 2016.
DOI
https://doi.org/10.2991/iccia-16.2016.36How to use a DOI?
Keywords
Acoustic noise; Noise reduction; ducted tail rotor.
Abstract
This research aims to study the acoustic noise prediction and reduction of helicopter ducted tail rotor. A thin-body BEM/FW-H method is developed to accurately predict the noise in this paper. It is a hybrid method combining computational aero acoustics with Boundary Element Method (BEM) and can be used efficiently to predict the propagation of sound wave in the duct. And two main geometry parameters are modified to investigate the noise reduction of ducted tail rotor by using the numerical prediction method. The acoustic performance of different modification tasks is discussed. These results verify the efficiency of design parameters modification to reduce acoustic noise of ducted tail rotor.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-240-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-16.2016.36How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chaopu Zhang
AU  - Mingxu Yi
AU  - Jun Huang
AU  - Liu Yang
PY  - 2016/09
DA  - 2016/09
TI  - Acoustic Noise Prediction and Reduction Reasearch of Helicopter Ducted Tail Rotor
BT  - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 193
EP  - 199
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.36
DO  - https://doi.org/10.2991/iccia-16.2016.36
ID  - Zhang2016/09
ER  -