Aerodynamic Shape Optimisation of a Camber Morphing Airfoil and Noise Estimation

Valldosera Martinez, Robert and Afonso, Frederico and Lau, Fernando (2022) Aerodynamic Shape Optimisation of a Camber Morphing Airfoil and Noise Estimation. Aerospace, 9 (1). p. 43. ISSN 2226-4310

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Abstract

In order to decrease the emitted airframe noise by a two-dimensional high-lift configuration during take-off and landing performance, a morphing airfoil has been designed through a shape design optimisation procedure starting from a baseline airfoil (NLR 7301), with the aim of emulating a high-lift configuration in terms of aerodynamic performance. A methodology has been implemented to accomplish such aerodynamic improvements by means of the compressible steady RANS equations at a certain angle of attack, with the objective of maximising its lift coefficient up to equivalent values regarding the high-lift configuration, whilst respecting the imposed structural constraints to guarantee a realistic optimised design. For such purposes, a gradient-based optimisation through the discrete adjoint method has been undertaken. Once the optimised airfoil is achieved, unsteady simulations have been carried out to obtain surface pressure distributions along a certain time-span to later serve as the input data for the aeroacoustic prediction framework, based on the Farassat 1A formulation, where the subsequent results for both configurations are post-processed to allow for a comparative analysis. Conclusively, the morphing airfoil has proven to be advantageous in terms of aeroacoustics, in which the noise has been reduced with respect to the conventional high-lift configuration for a comparable lift coefficient, despite being hampered by a significant drag coefficient increase due to stall on the morphing airfoil’s trailing edge.

Item Type: Article
Subjects: Science Global Plos > Engineering
Depositing User: Unnamed user with email support@science.globalplos.com
Date Deposited: 23 Mar 2023 09:52
Last Modified: 01 Jan 2024 12:51
URI: http://ebooks.manu2sent.com/id/eprint/382

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