Low-frequency extension of Amiet׳s theory for compact airfoil noise predictions

Santana, Leandro D. de; Schram, Christophe; Desmet, Wim

doi:10.1016/j.jsv.2016.02.033

Cited by 16 publications

(20 citation statements)

References 18 publications

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“…This thesis will provide careful experimental confirmation of this flat plate prediction. Recently, Santana et al (2016a) has extended the Amiet's theory to the frequency regime where the aerofoil is considered as a compact noise source. Numerical corrections are developed to extend the validity of the Amiet theory to the low frequency regime (Billson (2002)).…”

Section: Analytical and Experimental Studiesmentioning

confidence: 99%

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Aerofoil geometry effects on turbulence interaction noise

Paruchuri

2015

21st AIAA/CEAS Aeroacoustics Conference

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Faculty of Engineering and the Environment Institute of Sound and Vibration Research Doctor of PhilosophyAerofoil geometry effects on turbulence interaction noise by Chaitanya PARUCHURI Fan broadband is one of the dominant noise sources on an aircraft engine, particularly at approach. The dominant noise generation mechanism is due to turbulent-aerofoil interaction noise (TAI). This thesis investigates the effect of changes in 2D aerofoil geometry on TAI noise. The main focus of this thesis is to attempt to reduce it through the development of innovative leading edge geometries. The first two chapters of the thesis deals with an experimental and numerical investigation into the effect of aerofoil geometry on interaction noise on single aerofoils and on cascades. Consistent with previous work, they show that variations in aerofoil parameters, such as aerofoil thickness, leading edge nose radius and camber, produce only a small changes in broadband interaction noise at approach conditions. Subsequent chapters deal with the development of innovative leading edge serration profiles aimed at reducing interaction noise. Chapter 4 is a detailed study into the limitations of single-wavelength serrations in reducing interaction noise. The optimum profile is identified. Chapters 5, 6 and 7 all deal with the development of innovative profiles that can provide up to 10dB of additional noise reductions compared to single-wavelength serrations. For each of the profiles investigated a simple model is developed to aid the understanding of their interaction mechanism. v

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Section: Analytical and Experimental Studiesmentioning

confidence: 99%

“…Recently, Santana et al (2016a) discusses a limitation of Amiet's theory which restricts its capability of predicting the noise predictions at frequencies where the aerofoil is considered (Santana et al (2016a)). In the current thesis, at these low frequencies, the jet noise masks the total noise in the measurements.…”

Section: Introductionmentioning

confidence: 99%

Aerofoil geometry effects on turbulence interaction noise

Paruchuri

2015

21st AIAA/CEAS Aeroacoustics Conference

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“…This formulation takes into account the position of the source and of the observer in a global reference frame, represented in Figure 5 as ðe X ; e Y ; e Z Þ. This scheme indicates as well the polar components of the unsteady pressure jump (equation (15)), that is the axial, F T , tangential, F D and radial component, F R . The subscript e in equation (16) represents coordinates at the time of emission t 0 ¼ t À R=c 0 , where c 0 is the speed of sound.…”

Section: Noise Prediction Modelsmentioning

confidence: 99%

Multi-disciplinary optimization of a contra-rotating fan

Grasso

Moreau²,

Christophe

et al. 2018

International Journal of Aeroacoustics

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This paper presents the shape optimization of the blades of a contra-rotating fan according to aerodynamic, structural and aeroacoustic criteria. The prediction of wake-interaction and trailingedge noise emission is integrated into the optimization process by means of RANS-based hybrid methods. These methods split the description of the flow field, which is made by computational fluid dynamics, from the quantification of the source of noise and of its propagation, obtained using analytic formulations. The optimization is performed by an evolutionary algorithm assisted by an artificial neural network. The sensitivity analysis of the design parameters and of the constraints used in the optimization process provides a new perspective on the multi-objective efficiency-noise optimization approach, which will be increasingly used in turbomachinery design in the future.

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“…Paterson and Amiet (1976), Roger et al (2006) and Reboul (2010)). Recently Santana et al (2016) extended Amiet's high-frequency theory with additional iterations of the Schwarzschild's technique in order to improve the solutions for low frequencies. The aeroacoustic transfer function given in Eq.…”

Section: Analytical Calculation Of Broadband Interaction Noisementioning

confidence: 99%

Impact of Turbulence Models on RANS-Informed Prediction of Fan Broadband Interaction Noise

Jaron

Herthum

Franke

et al. 2017

European Conference on Turbomachinery Fluid Dynamics and Hermodynamics

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In the present study turbulence characteristics from Reynolds Averaged Navier-Stokes simulations are used as input for the analytical prediction of fan broadband noise due to the interaction of the fan rotor wake turbulence with the outlet guide vanes. The aerodynamic excitation is modeled with a von Kármán spectrum and the blade response with the Sears function extended with a term considering the non-compactness of the source. The influence of different turbulence models, from state-of-the-art two-equation models to a Reynoldsstress transport model, on the simulated turbulence characteristics and consequently on the broadband noise prediction is investigated. Furthermore the impact of the two-equation model extensions for the effects of rotation, transition and the stagnation point is analyzed and discussed. The predicted noise spectra are compared to the experimental test data of the NASA Source Diagnostic Test fan rig. It has been found that different turbulence models and extensions can lead to a variation of predicted broadband interaction noise of up to 2 dB.

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Low-frequency extension of Amiet׳s theory for compact airfoil noise predictions

Cited by 16 publications

References 18 publications

Aerofoil geometry effects on turbulence interaction noise

Aerofoil geometry effects on turbulence interaction noise

Multi-disciplinary optimization of a contra-rotating fan

Impact of Turbulence Models on RANS-Informed Prediction of Fan Broadband Interaction Noise

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