Conference proceeding
Developing a comprehensive noise prediction system for generating noise abatement procedures
AIAA/CEAS Aeroacoustics Conference, 25, pp.1-20
AIAA/CEAS Aeroacoustics Conference, 25 (Delft, The Netherlands, 05/20/2019–05/23/2019)
01/01/2019
Handle:
https://hdl.handle.net/2376/123387
Appears in Aviation Sustainability Center (ASCENT)
Abstract
Acomprehensive noise prediction system is required to analyze and develop noise abatement procedures for rotorcraft. Most of the prediction tools used for designing noise abatement procedures are based on some experimental data or empirical relations and lack the sophistication required for detailed analysis of different noise sources. This paper describes a rotorcraft noise prediction system and the development to incorporate time-dependent information - including trajectory, attitude, blade loads and rotor thrust - for predicting noise generated during a complex maneuver. The system features and capability are demonstrated by calculating sound exposure level contours and analyzing the individual noise components. The noise component analysis shows that the new features have a significant impact on the predicted noise and help to improve the prediction accuracy. Validation of the noise prediction system is also performed for steady descent and turning descent flight conditions.
Metrics
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Details
- Title
- Developing a comprehensive noise prediction system for generating noise abatement procedures
- Creators
- Mrunali C Botre - Pennsylvania State UniversityKenneth S Brentner - Pennsylvania State UniversityJoseph Horn - Pennsylvania State UniversityDaniel A Wachspress
- Publication Details
- AIAA/CEAS Aeroacoustics Conference, 25, pp.1-20
- Conference
- AIAA/CEAS Aeroacoustics Conference, 25 (Delft, The Netherlands, 05/20/2019–05/23/2019)
- Academic Unit
- Aviation Sustainability Center (ASCENT); Noise
- Publisher
- WTI-Frankfurt-digital GmbH
- Grants
- 13-C-AJFE-PSU-038, Federal Aviation Administration (United States, Washington) - FAA
- Identifiers
- 99900621890501842
- Language
- English
- Resource Type
- Conference proceeding