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Low-noise blade design optimization for a transonic fan using adjoint-based approach

Low-noise blade design optimization for a transonic fan using adjoint-based approach
Low-noise blade design optimization for a transonic fan using adjoint-based approach
The target of reducing the environmental footprint of the aviation industry has continually driven the need to design more efficient and quieter aircraft engines. In this paper, the aeroacoustic adjoint formulization for low-shock tone noise fan blade design is first proposed and combined with the aerodynamic adjoint analysis to develop an adjoint-based, multi-objective design optimization process for transonic fan blade design. High-fidelity numerical simulations are employed in the optimization loop to predict aeroacoustic and aerodynamic objectives and gradients. Aeroacoustic and aerodynamic design optimizations of an industrial transonic research fan are conducted using the proposed adjoint-based approach, demonstrating that the noise performance and the efficiency of the fan can be improved simultaneously. Results indicate that the significant reduction in the sound power level of the fan shock-associated tone noise is achieved by a compound leading-edge sweep pattern generated by the optimizations. Flow fields and acoustic results of the optimized blades are then analyzed to understand the noise reduction mechanism.
0001-1452
2367-2382
Wu, Long
9787473b-a81a-47ce-a696-22afa8c2204b
Wilson, Alexander
208d47f4-0a9d-4de3-8e45-07536862d07b
Kim, Jae Wook
fedabfc6-312c-40fd-b0c1-7b4a3ca80987
Radford, David
d57f365b-ff8a-47b2-b7e5-a8a2b55acb07
Shahpar, Shahrokh
ae2104a8-5531-427c-b812-c51227060843
Wu, Long
9787473b-a81a-47ce-a696-22afa8c2204b
Wilson, Alexander
208d47f4-0a9d-4de3-8e45-07536862d07b
Kim, Jae Wook
fedabfc6-312c-40fd-b0c1-7b4a3ca80987
Radford, David
d57f365b-ff8a-47b2-b7e5-a8a2b55acb07
Shahpar, Shahrokh
ae2104a8-5531-427c-b812-c51227060843

Wu, Long, Wilson, Alexander, Kim, Jae Wook, Radford, David and Shahpar, Shahrokh (2021) Low-noise blade design optimization for a transonic fan using adjoint-based approach. AIAA Journal, 60 (4), 2367-2382. (doi:10.2514/1.J060959).

Record type: Article

Abstract

The target of reducing the environmental footprint of the aviation industry has continually driven the need to design more efficient and quieter aircraft engines. In this paper, the aeroacoustic adjoint formulization for low-shock tone noise fan blade design is first proposed and combined with the aerodynamic adjoint analysis to develop an adjoint-based, multi-objective design optimization process for transonic fan blade design. High-fidelity numerical simulations are employed in the optimization loop to predict aeroacoustic and aerodynamic objectives and gradients. Aeroacoustic and aerodynamic design optimizations of an industrial transonic research fan are conducted using the proposed adjoint-based approach, demonstrating that the noise performance and the efficiency of the fan can be improved simultaneously. Results indicate that the significant reduction in the sound power level of the fan shock-associated tone noise is achieved by a compound leading-edge sweep pattern generated by the optimizations. Flow fields and acoustic results of the optimized blades are then analyzed to understand the noise reduction mechanism.

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Published date: 28 July 2021

Identifiers

Local EPrints ID: 451654
URI: http://eprints.soton.ac.uk/id/eprint/451654
ISSN: 0001-1452
PURE UUID: dee838b7-0364-4250-8752-0703fca0a39c
ORCID for Long Wu: ORCID iD orcid.org/0009-0006-8578-7755
ORCID for Jae Wook Kim: ORCID iD orcid.org/0000-0003-0476-2574

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Date deposited: 18 Oct 2021 16:31
Last modified: 17 Mar 2024 03:55

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Contributors

Author: Long Wu ORCID iD
Author: Jae Wook Kim ORCID iD
Author: David Radford
Author: Shahrokh Shahpar

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