Discrete Adjoint Based Optimal Active Control of Separation on a Realistic High-Lift Configuration

Author(s):  
Anil Nemili ◽  
Emre Özkaya ◽  
Nicolas R. Gauger ◽  
Felix Kramer ◽  
Frank Thiele
2013 ◽  
Author(s):  
Anil Nemili ◽  
Özkaya Emre ◽  
Nicolas R. Gauger ◽  
Felix W. Kramer ◽  
Angelo Carnarius ◽  
...  

Aerospace ◽  
2022 ◽  
Vol 9 (1) ◽  
pp. 43
Author(s):  
Robert Valldosera Martinez ◽  
Frederico Afonso ◽  
Fernando Lau

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.


2012 ◽  
Vol 132 (12) ◽  
pp. 1091-1096 ◽  
Author(s):  
Fumiya Kitayama ◽  
Katsuhiro Hirata ◽  
Yasuyoshi Asai

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