@inproceedings{b1af4275e3924e80a465a8fdbe8c63f9,
title = "Developing a comprehensive noise prediction system for generating noise abatement procedures",
abstract = "A comprehensive 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.",
author = "Mrunali Botre and Kenneth Brentner and Joseph Horn and Daniel Wachspress",
note = "Funding Information: This work was funded by the U. S. Federal Aviation Administration (FAA) Office of Environment and Energy as a part of ASCENT Project 38 under FAA Award Number: 13-C AJFE-PSU-038. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the FAA or other ASCENT sponsors. The R-44 and R-66 helicopter data was collected in Phase I of the NASA/FAA/Army joint test conducted in September 2017 at Eglin AFB, and the Airbus AS350B3, Airbus EC130B4, Bell 206L3, and Bell 407 helicopter data was collected in Phase II of the NASA/FAA/Army joint test conducted in October 2017 at Amedee AAF. Funding Information: This work was funded by the U. S. Federal Aviation Administration (FAA) Officeof Environment and Energy as a part of ASCENT Project 38 under FAA Award Number: 13-C_AJFE-PSU-038. Any opinions, findings, and conclusionsor recommendationsexpressedinthis materialare thoseoftheauthorsanddo notnecessarilyreflectthe viewsof theFAA or other ASCENT Sponsors. Funding Information: This work was funded by the U. S. Federal Aviation Administration (FAA) Office of Environment and Energy as a part of ASCENT Project 38 under FAA Award Number: 13-C AJFE-PSU-038. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the FAA or other ASCENT sponsors. Publisher Copyright: {\textcopyright} 2019, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; 25th AIAA/CEAS Aeroacoustics Conference, 2019 ; Conference date: 20-05-2019 Through 23-05-2019",
year = "2019",
doi = "10.2514/6.2019-2617",
language = "English (US)",
isbn = "9781624105883",
series = "25th AIAA/CEAS Aeroacoustics Conference, 2019",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "25th AIAA/CEAS Aeroacoustics Conference, 2019",
}