A Frequency Domain Model for Turbine Interaction Broadband Noise: Comparison with Measurements

Laraña, Pedro Carrasco; Serrano, Adolfo

doi:10.2514/6.2018-3917

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…The method to obtain the result OP1 is implemented in the code Orpheus of ITP. Its principle was described by Carrasco and Serrano [59]. The method is based on a 2D cascade response following Smith [54].…”

Section: Solution Op1mentioning

confidence: 99%

ACAT1 Benchmark of RANS-Informed Analytical Methods for Fan Broadband Noise Prediction: Part II—Influence of the Acoustic Models

et al. 2020

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A benchmark dedicated to RANS-informed analytical methods for the prediction of turbofan rotor–stator interaction broadband noise was organised within the framework of the European project TurboNoiseBB. The second part of this benchmark focuses on the impact of the acoustic models. Twelve different approaches implemented in seven different acoustic solvers are compared. Some of the methods resort to the acoustic analogy, while some use a direct approach bypassing the calculation of a source term. Due to differing application objectives, the studied methods vary in terms of complexity to represent the turbulence, to calculate the acoustic response of the stator and to model the boundary and flow conditions for the generation and propagation of the acoustic waves. This diversity of approaches constitutes the unique quality of this work. The overall agreement of the predicted sound power spectra is satisfactory. While the comparison between the models show significant deviations at low frequency, the power levels vary within an interval of ±3 dB at mid and high frequencies. The trends predicted by increasing the rotor speed are similar for almost all models. However, most predicted levels are some decibels lower than the experimental results. This comparison is not completely fair—particularly at low frequency—because of the presence of noise sources in the experimental results, which were not considered in the simulations.

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Section: Solution Op1mentioning

confidence: 99%

ACAT1 Benchmark of RANS-Informed Analytical Methods for Fan Broadband Noise Prediction: Part II—Influence of the Acoustic Models

et al. 2020

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“…Even though the Wiener-Hopf method tries to account for these geometrical features, it is still limited to small variations in turning angle [39]. In 2008, Pedro [40] solved the turning angle of a turbine blade using a series of 2D flat plate cascades. Here, we use a similar geometric treatment but a different solving solution.…”

Section: Introductionmentioning

confidence: 99%

A Rapid RI-TP Model for Predicting Turbine Wake Interaction Broadband Noise

Xiang,

Chen,

Aneeb

et al. 2024

Aerospace

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Future UHBR (Ultra-High Bypass-Ratio) engines might cause serious ‘turbine noise storms’ but, at present, turbine noise prediction capability is lacking. The large turning angle of the turbine blade is the first major factor deserving special attention. The RANS (Reynold Averaged Navier–Stokes equation)-informed (here called RI) method and LINSUB (the bound vorticity 2D model LINearized SUBsonic flow in cascade), developed to predict fan broadband noise, coupled with a two-flat-plates (here called TP) assumption for the turbine blade, is applied here, and one autonomous rapid RI-TP model for predicting turbine wake interaction broadband noise has been developed. Firstly, taking the single axial turbine test rig NPU-Turb as the object, both the experimental data and the DDES/AA (delayed Detached Eddy Simulation/Acoustic Analogy) hybrid model have been used to validate the RI-TP model. High consistency in the medium and high frequencies among the three designed and off-designed rotation speeds indicates that the RI-TP model has the ability to predict turbine broadband noise rapidly. And compared with the original RANS-informed method, with one thin-flat-plate assumption on the blade, the RI-TP model can enhance the PWL (sound power level) in almost the whole spectral range below 10 KHz, which, in turn, is closer to the experimental data and the DDES/AA prediction results. The PWL trend with a ‘dividing point’ position is also studied. The spectrum would move up or down if the location is away from true value. In addition, the extraction location for turbulence as an input for the RI-TP model is negligible. In the future, multi-stage characteristics and the blade thickness effect should be further considered when predicting turbine noise.

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Tonal Noise Transmission through a Non-Axisymmetric Turbine OGV with Separated Flow: Prediction and Measurements

Aparicio

Serrano

2018

2018 AIAA/CEAS Aeroacoustics Conference

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A Frequency Domain Model for Turbine Interaction Broadband Noise: Comparison with Measurements

Cited by 3 publications

References 16 publications

ACAT1 Benchmark of RANS-Informed Analytical Methods for Fan Broadband Noise Prediction: Part II—Influence of the Acoustic Models

ACAT1 Benchmark of RANS-Informed Analytical Methods for Fan Broadband Noise Prediction: Part II—Influence of the Acoustic Models

A Rapid RI-TP Model for Predicting Turbine Wake Interaction Broadband Noise

Tonal Noise Transmission through a Non-Axisymmetric Turbine OGV with Separated Flow: Prediction and Measurements

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