Framework for multi-fidelity assessment of open rotor propeller aeroacoustics

Date

2024-05-30

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

AIAA

Department

Type

Conference paper

ISSN

Format

Free to read from

Citation

Huang G, Sharma A, Chen X, et al., (2024) Framework for multi-fidelity assessment of open rotor propeller aeroacoustics. In: 30th AIAA/CEAS Aeroacoustics Conference, 04-07 June 2024, Rome, Italy, Article number 2024-3098

Abstract

Aerodynamically generated noise from open rotor aircraft has received immense research interests. Multi-fidelity numerical approaches are in demand for evaluating open rotor propeller noise without compromising computational accuracy and reducing cost. In this paper, propeller noise modelling methods at different fidelity levels are assessed by application to an aircraft propeller configuration at an advance ratio of 0.485 together with tip Reynolds and Mach numbers of 3.7×10^5 and 0.231, respectively. The flow solution of the propeller is obtained using coarse-grid Large Eddy Simulation and then inputted into three acoustic solvers. At higher-fidelity level, Ffowcs-Williams and Hawkings analogy method is employed. Hanson’s method and Gutin’s method are applied at the medium- and lower -fidelity levels, respectively. Results from the three models are compared correlatively, as well as against existing experimental measurement data. Through the assessment, insight is given into future development of a multi-fidelity model for low-emission open rotor aircraft design. The presented multi-fidelity framework is being developed as part of the Innovate UK, Aerospace Technology Institute (ATI) funded research project – ONEheart (Out of Cycle NExt generation highly efficient air transport).

Description

Software Description

Software Language

Github

Keywords

DOI

Rights

Attribution 4.0 International

Relationships

Relationships

Supplements

Funder/s

The research leading to these results has received funding from the Innovate UK, Aerospace Technology Institute(ATI) in the UK, under the Out of Cycle NExt generation highly efficient air transport (ONEheart) project (Ref no.10003388). The first and fifth authors gratefully acknowledge the ‘SilentProp’ project, sponsored and supported by Horizon 2020 research and innovation programme under grant agreement number 882842.