Towards predicting noise-power-distance curves for propeller and rotor powered aircraft

Amargianitakis, DC, Self, RH, Proenca, AR, Synodinos, A and Torija Martinez, AJ ORCID: https://orcid.org/0000-0002-5915-3736 2021, Towards predicting noise-power-distance curves for propeller and rotor powered aircraft , in: 50th International Congress and Exposition on Noise Control Engineering, 1st to 5th August 2021, Washington, DC, USA.

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Abstract

Propeller and rotor based propulsion systems are the predominant choice of power delivery system in the upcoming Urban Air Mobility market. Fully electric air-taxis (car sized vehicles with Vertical Take-off and Landing, VTOL, capabilities) concepts are using the benefits of the scalable properties of electric motors to distribute propulsor units all over the airframe. The large variety of concepts and configurations of these vehicles poses a serious issue in predicting noise generated on the ground. The need for a high-level model to aid in acoustic decision making is evident. Through the demonstrated methodology of computationally deriving Noise – Power – Distance curves for conventional turbo fan aircraft, this paper delivers the capability of dealing with propeller propulsion systems and the associated propeller tonal noise sources to generate the NPDs and therefore noise exposure maps. The aims can be broken down into two objectives: a) demonstrate the capabilities of the proposed propeller harmonics noise scaling laws to calculate noise variation from a baseline scenario and b) incorporate the scaling components into the larger capability of producing noise exposure contours, by the means of computationally deriving Noise-Power-Distance curves for propeller power aircraft. Preliminary NPD curves for General Aviation sized propeller power aircraft are generated and discussed.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: INTER-NOISE and NOISE-CON Congress and Conference Proceedings, InterNoise21, Washington, D.C., USA
Publisher: Institute of Noise Control Engineering, USA (INCE-USA)
ISSN: 0736-2935
Related URLs:
Depositing User: Dr Antonio J Torija Martinez
Date Deposited: 30 Sep 2021 07:14
Last Modified: 30 Sep 2021 07:14
URI: http://usir.salford.ac.uk/id/eprint/61856

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