2019
DOI: 10.33737/gpps19-bj-224
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CFD Modeling of a Realistic Turbofan Blade for Noise Prediction. Part 2: Analytical Acoustic Predictions

Abstract: Noise sources on the rotor of a scale-model turbofan are investigated at approach conditions. The fan geometry considered is the baseline configuration of the "Fan Noise Source Diagnostic Test" (SDT) experimental setup. Based on Reynolds Averaged Navier-Stokes simulations (RANS) competitive noise source mechanisms, the turbulent interaction noise and the trailingedge noise on the rotor are investigated. The noise estimations are compared to acoustic predictions from Large Eddy Simulations (LES) which consider … Show more

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Cited by 7 publications
(5 citation statements)
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“…It is capable to resolve the turbulent structures that may serve as effective rotor noise sources. The present study aims at decomposing and identifying these sources using the high-fidelity data obtained from rotor-only (RO) LES computations [8,[17][18][19]. The focus is put on the approach operating condition (62% of the operating point rotation speed), for which the fan is the dominant contributor in the overall turbofan noise [2].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…It is capable to resolve the turbulent structures that may serve as effective rotor noise sources. The present study aims at decomposing and identifying these sources using the high-fidelity data obtained from rotor-only (RO) LES computations [8,[17][18][19]. The focus is put on the approach operating condition (62% of the operating point rotation speed), for which the fan is the dominant contributor in the overall turbofan noise [2].…”
Section: Introductionmentioning
confidence: 99%
“…The focus is put on the approach operating condition (62% of the operating point rotation speed), for which the fan is the dominant contributor in the overall turbofan noise [2]. The previous studies showed that the modeling of the trailing-edge and turbulence-interaction noise sources is not enough to correctly predict the total rotor broadband noise spectrum [17,18]. The analysis of the flow field showed that a complex tip flow, interacting with the neighbouring blades, can be an additional noise source along with the described two sources [8,19].…”
Section: Introductionmentioning
confidence: 99%
“…Additional rotor-only configurations have now been simulated with quasi wall-resolved simulations (WR-LES) achieved by Kholodov and Moreau [71] that can serve as a reference simulation. Comparisons with the previous wall-modeled LES [72,73] using two different numerical schemes (Lax-Wendroff and Two-step Taylor-Galerkin TTG4A) show little differences on the blade and in the wake and noticeably similar overall global performances within 1% of measurements and good comparison with the hot-wire mean and root-mean-square (rms) velocity components downstream of the rotor. Only the tip vortices are better resolved as shown in Figure 3.…”
Section: Broadband Noisementioning
confidence: 65%
“…Additional rotor-only configurations have now been simulated with quasi wall-resolved simulations (WR-LES) achieved by Kholodov & Moreau [71] that can serve as a reference simulation. Comparisons with the previous wall-modelled LES [72,73] using two different numerical schemes (Lax-Wendroff and TTG4A) show little differences on the blade and in the wake: noticeably similar overall global performances within 1% of measurements and good comparison with the hot-wire mean and root-mean-square (rms) velocity components downstream of the rotor. Only the tip vortices are better resolved as shown in Figure 3.…”
Section: Broadband Noisementioning
confidence: 68%