Aerodynamic and Aeroacoustic Optimization of Rotorcraft Airfoils via a Parallel Genetic Algorithm

Jones, B.; Crossley, William A.; Lyrintzis, Anastasios S.

doi:10.2514/2.2717

Cited by 74 publications

(31 citation statements)

References 20 publications

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“…To reduce the turbulent boundary layer trailing edge noise, various passive airfoil noise control methods have been developed, such as trailing edge serrations [5,[8][9][10][11][12][13][14][15][16][17][18][19][20][21], trailing edge brushes [22][23][24], porous trailing edge [25][26][27][28][29][30], airfoil shape optimization [31,32], trailing edge morphing [33,34] and more recently upstream surface treatment [35][36][37]. It was shown both analytically [8][9][10][11][12] and experimentally [5,[13][14][15][16][17][18][19][20][21] that trailing edge noise levels can be reduced by modifying the trailing edge geometry with serrations so that the flow disturbances are scattered into sound with reduced efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, brush and porous edge attachments may have practical limitations, namely the fine pores or spaces between brushes are prone to collect dirt and insects making them ineffective. Airfoil shape optimization such as modification of the thickness or the curve gradient can significantly affect the flow field around the airfoil, leading to improvement in both the aerodynamic A and aeroacoustic performance of the airfoil [31,32]. Trailing-edge morphing can also effectively reduce the airfoil trailing edge noise over a wide range of flow speeds and angles of attack.…”

Section: Introductionmentioning

confidence: 99%

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Effects of Streamwise Surface Treatments on Trailing Edge Noise Reduction

Afshari

Azarpeyvand

Dehghan

et al. 2017

23rd AIAA/CEAS Aeroacoustics Conference

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms The use of surface treatments as a passive flow control method for trailing edge noise reduction is considered in this paper. In order to investigate the effects of different types of surface treatments on surface pressure fluctuations, eddy convection velocity and spanwise length scale, a long flat-plate model, equipped with several streamwise and spanwise surface pressure microphones has been designed and built. Measurements have been carried out for a variety of 2D and 3D surface treatments. The flow behavior downstream of the surface treatments is also studied by employing a single probe hotwire anemometer. Results indicated that the use of finlets with coarse spacing leads to a favorable reduction in PSD at mid to high frequencies and an undesirable increase in spanwise length scale. In the case of finlets with fine spacing, the high frequency pressure fluctuations have been effectively suppressed and the spanwise length-scale has been reduced, but with a penalty of low to mid frequency surface pressure elevation. Furthermore, it is found that the ratio of the finlets spacing to the boundary layer thickness is a critical parameter for achieving maximum surface pressure PSD reduction and the finlets spacing should be in the order of the boundary layer inner region. It has also been shown that the proposed novel 3D surface treatments have better aeroacoustic performance than the standard 2D ones in terms of the reduction in the surface pressure power spectral density, the longitudinal and lateral coherence and eddy convection velocity.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of Streamwise Surface Treatments on Trailing Edge Noise Reduction

Afshari

Azarpeyvand

Dehghan

et al. 2017

23rd AIAA/CEAS Aeroacoustics Conference

View full text Add to dashboard Cite

show abstract

“…To reduce the turbulent boundary layer trailing edge noise, various passive airfoil noise control methods have been developed, such as trailing edge serrations [5,[13][14][15][16][17][18][19][20][21][22][23][24][25], trailing edge brushes [26][27][28], porous trailing edge [29][30][31][32][33], airfoil shape optimization [34,35], trailing edge morphing [36,37] and recently upstream surface treatment [38]. Sawtooth serrations appeared initially as means to reduce the exhaust noise of a jet engine [39].…”

Section: Introductionmentioning

confidence: 99%

Trailing Edge Noise Reduction Using Novel Surface Treatments

Afshari

Dehghan

Azarpeyvand

et al. 2016

22nd AIAA/CEAS Aeroacoustics Conference

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“…This capability that is very desirable in solving many multimodal, multidimensional optimization problems. With the rapid development of various parallel processing systems [4,5,6,7,9,14], researchers are enabled to take up very large optimization problems and solve them in parallel [1,3,10,11]. While many traditional optimization algorithms are sequential in nature, genetic algorithm lends itself very nicely to parallelization.…”

Section: Introductionmentioning

confidence: 99%

Problem independent parallel genetic algorithm for design optimization

Atiqullah

2002

Proceedings 16th International Parallel and Distributed Processing Symposium

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Genetic Algorithms, originally inspired by the nature, have come a long a way in the past decade to establish itself as a numerical optimization tool of choice. The simplicity of its structure, robustness of its operation, global view of its search technique, efficiency of its sorting though the unknown, all contribute to the excellence of genetic algorithm as an engineering design optimization tool. With the advent of modern parallel and distributed supercomputer systems, there is a renewed enthusiasm about fast genetic algorithms that efficiently solves very large numerical optimization problems utilizing these machines. The working of genetic algorithms is analyzed to extract parallelism in its functionality. The effects of various parallelization proposals and details of a parallel implementation are provided. Several representative problem solutions are presented to demonstrate the utility of the implementation. These indicate a strong future for parallel genetic algorithms for solving a large variety of scientific, engineering, and design problems.

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Aerodynamic and Aeroacoustic Optimization of Rotorcraft Airfoils via a Parallel Genetic Algorithm

Cited by 74 publications

References 20 publications

Effects of Streamwise Surface Treatments on Trailing Edge Noise Reduction

Effects of Streamwise Surface Treatments on Trailing Edge Noise Reduction

Trailing Edge Noise Reduction Using Novel Surface Treatments

Problem independent parallel genetic algorithm for design optimization

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