26th AIAA Applied Aerodynamics Conference 2008
DOI: 10.2514/6.2008-6730
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Adjoint-Based Aerodynamic Shape Optimization of Rotorcraft Blades

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Cited by 10 publications
(2 citation statements)
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“…There are also two distinct flow regimes, hover and forward flight, and good performance in one is unlikely to be carried over to the other. Aerodynamic optimisation has been applied previously to rotors in hover but mainly with both low fidelity aerodynamics and only gross geometric changes, see for example (13) , with only a few notable results using compressible CFD, namely those of ONERA (14,15) , Nadarajah et al (16) , Choi et al (17) , Nielsen et al (18) , Imiela (19,20) , and recent work of Johnson and Barakos (21,22) . The research presented here is aimed at the development of a modularised, generic optimisation tool, that is flow-solver and mesh type independent, and applicable to any aerodynamic problem; rotor blades in hover in this case.…”
Section: Interpolation Formulationmentioning
confidence: 99%
“…There are also two distinct flow regimes, hover and forward flight, and good performance in one is unlikely to be carried over to the other. Aerodynamic optimisation has been applied previously to rotors in hover but mainly with both low fidelity aerodynamics and only gross geometric changes, see for example (13) , with only a few notable results using compressible CFD, namely those of ONERA (14,15) , Nadarajah et al (16) , Choi et al (17) , Nielsen et al (18) , Imiela (19,20) , and recent work of Johnson and Barakos (21,22) . The research presented here is aimed at the development of a modularised, generic optimisation tool, that is flow-solver and mesh type independent, and applicable to any aerodynamic problem; rotor blades in hover in this case.…”
Section: Interpolation Formulationmentioning
confidence: 99%
“…Other similar approaches, such as the Nonlinear Frequency Domain [3,4,5], Reduced Frequency [6], and Time-Spectral [7,8,9] methods, were developed shortly thereafter. Additionally, adjoint-based optimization techniques [10,11] can be applied to provide the ability to perform design optimization without resorting to costly unsteady adjoint methods. Frequency-adaptive methods [12,13,14] can o↵er even greater e ciency by refining the the number of modes resolved at each grid point to the frequency content in its solution.…”
Section: Introductionmentioning
confidence: 99%