Comparison of predicted fan broadband noise using a two- versus a three-dimensional synthetic turbulence method

Kissner, Carolin; Guérin, Sébastien

doi:10.1016/j.jsv.2021.116221

Cited by 7 publications

(5 citation statements)

References 47 publications

(97 reference statements)

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“…Ewert et al [39] applied this approach to study a variety of aeroacoustic problems, including trailing-edge noise, slat noise and jet noise. Kissner and Guérin [23] investigated fan broadband noise by coupling the RPM method with 3D PErturbed…”

Section: Random Particle Mesh Methodsmentioning

confidence: 99%

“…The frequency domain method has shown to be efficient in predicting the tonal noise and is also possible to be applied to analyse the broadband noise at discrete frequencies. The time domain method has the advantage that the continuous noise spectrum can be predicted within a single simulation, but tends to be more prone to numerical instability for 3D simulations [23,24].…”

Section: Lee/lns With Synthetic Turbulence Modelmentioning

confidence: 99%

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Proper Orthogonal Decomposition Method for the Prediction of Fan Broadband Interaction Noise

2022

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The turbulent wakes generated by a rotor interacting with outlet guide vanes (OGVs) is one of the dominant broadband noise sources in a turbofan engine. An accurate representation of the rotor wake turbulence is therefore important for the reliable prediction of the rotor-OGV interaction noise. This paper presents a turbulence synthesis method based on a spectral Proper Orthogonal Decomposition (POD) representation of the turbulent wake that aims to reproduce the desired velocity cross-spectrum along the OGV leading edges where noise is emitted due to turbulence-OGVs interaction. The method is first developed in the frequency domain based on a superposition of vortical modes with the appropriate amplitudes. Fourier modes and POD modes are proposed to represent the two-point velocity spectrum. The POD modes will be shown to be highly efficient in reconstructing the flow field near the tip region where a largescale coherent structure is present. An extension of the POD synthetic turbulence method to the time domain is also presented by means of a white noise filtering technique to allow the generation of time varying velocity signals with the desired cross spectral characteristics. The results show that both the one-and two-point statistics can be closely reproduced. The proposed frequency-domain POD synthetic turbulence method for fan broadband noise prediction for a realistic fan-OGV configuration is illustrated by the use of a frequency-domain linearised Navier-Stokes solver to predict the sound power radiation due to each vortical mode. Overall sound power levels at a number of discrete frequencies are predicted and compared against measured noise data. Agreement is found to be within the uncertainty of the noise sound power measurement.

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Section: Random Particle Mesh Methodsmentioning

confidence: 99%

Section: Lee/lns With Synthetic Turbulence Modelmentioning

confidence: 99%

Proper Orthogonal Decomposition Method for the Prediction of Fan Broadband Interaction Noise

2022

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“…The objective of this study is to identify the most suitable technique for the estimation of turbulence parameters, namely, the turbulence integral length scale and the turbulence intensity (which can be understood as a normalized turbulent kinetic energy (TKE)). Commonly, methods for fan broadband noise prediction are based on analytic models [14][15][16][17], synthetic turbulence methods [18,19], and scale-resolving techniques [6,20,21]. They depend on turbulence parameters, which can include boundary layer thickness, turbulence integral length scale, and flow turbulence kinetic energy of the inlet flow or/and of the flow at the fan interstage section.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Techniques for the Estimation of Flow Parameters of Fan Inflow Turbulence from Noisy Hot-Wire Data

Caldas

Kissner

Behn

et al. 2021

Fluids

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Turbulence parameters, in particular integral length scale (ILS) and turbulence intensity (Tu), are key input parameters for various applications in aerodynamics and aeroacoustics. The estimation of these parameters is typically performed using data obtained via hot-wire measurements. On the one hand, hot-wire measurements are affected by external disturbances resulting in increased measurement noise. On the other hand, commonly applied turbulence parameter estimators lack in robustness. If not addressed correctly, both issues may impede the accuracy of the turbulence parameter estimation. In this article, a procedure consisting of several signal processing steps is presented to filter non-turbulence related disturbances from the unsteady velocity data. The signal processing techniques comprise time- and frequency-domain approaches. For the turbulence parameter estimation, two different models of the turbulence spectra—the von Kármán model and the Bullen model—are fitted to match the spectrum of the measured data. The results of several parameter estimation techniques are compared. Computational Fluid Dynamics (CFD) data are used to validate the estimation techniques and also to assess the influence of the variation in window size on the estimated parameters. Additionally, hot-wire data from a high-speed fan rig are analyzed. ILS and Tu are assessed at several radial positions for two fan speeds. It is found that most techniques yield similar values for ILS and Tu. The comparison of the fitted spectra with the spectra of the measured data shows a good agreement in most cases provided that a sufficiently fine frequency resolution is applied. The ratio of ILS and Tu of the velocity components in longitudinal and transverse direction allows the assessment of flow-isotropy. Results indicate that the turbulence is anisotropic for the investigated flow fields.

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“…The generation of a fully 3D turbulence structure represents still a challenging issue. Several methods have emerged to tackle this issue such as Synthetic Eddy Method (SEM) [6,7], extended to anisotropic flows and serrated airfoils [8,9], and Random Particle Mesh (RPM) methodology [10] with recent developments to generate 3D turbulence fields [11,12]. In this paper, the focus is put on the synthetic turbulence modeling with a particular interest on the development and implementation of a fully three-dimensional vector field (with the complete 3-wavenumbers spectrum and 3-velocity components).…”

Section: Introductionmentioning

confidence: 99%

3D CAA methodology using synthetic turbulence to assess turbulence-cascade interaction noise emission and reduction from serrated airfoils

Buszyk¹,

Polacsek²,

Barrier³

et al. 2021

Aiaa Aviation 2021 Forum

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Comparison of predicted fan broadband noise using a two- versus a three-dimensional synthetic turbulence method

Cited by 7 publications

References 47 publications

Proper Orthogonal Decomposition Method for the Prediction of Fan Broadband Interaction Noise

Proper Orthogonal Decomposition Method for the Prediction of Fan Broadband Interaction Noise

Comparison of Techniques for the Estimation of Flow Parameters of Fan Inflow Turbulence from Noisy Hot-Wire Data

3D CAA methodology using synthetic turbulence to assess turbulence-cascade interaction noise emission and reduction from serrated airfoils

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