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Article

ACAT1 Benchmark of RANS-Informed Analytical Methods for Fan Broadband Noise Prediction—Part I—Influence of the RANS Simulation

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Department of Engine Acoustics, Institute of Propulsion Technology, German Aerospace Center (DLR), 10623 Berlin, Germany
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Aeroacoustics R & T Center, GKN Aerospace Engine Systems, SE-46181 Trollhättan, Sweden
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Institute of Sound and Vibration Research (ISVR), University of Southampton, Southampton SO17 1BJ, UK
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Aerodynamic Technology Department, ITP Aero, 28108 Alcobendas, Spain
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Aerodynamics and Acoustics Department, Safran Aircraft Engines, 77550 Moissy Cramayel, France
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Aeroelasticity, and Acoustics, Department of Aerodynamics, ONERA—The French Aerospace Lab, 92190 Meudon, France
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Aeroelasticity, and Aeroacoustics, Department of Turbine Aerodynamics, MTU Aero Engines AG, 80995 Munich, Germany
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CNRS, Laboratoire de Mécanique des Fluides et d’Acoustique, INSA Lyon, Université Claude Bernard Lyon I, Univ. Lyon, École Centrale de Lyon, 69134 Écully, France
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Division of Fluid Dynamics, Department of Mechanics and Maritime Sciences, Chalmers University of Technology, SE-41296 Gothenburg, Sweden
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Acoustics Methods, Airbus Commercial Aircraft, 31060 Toulouse, France
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Author to whom correspondence should be addressed.
Acoustics 2020, 2(3), 539-578; https://doi.org/10.3390/acoustics2030029
Received: 19 June 2020 / Revised: 16 July 2020 / Accepted: 18 July 2020 / Published: 22 July 2020
(This article belongs to the Special Issue Aeroacoustics of Turbomachines)
A benchmark of Reynolds-Averaged Navier-Stokes (RANS)-informed analytical methods, which are attractive for predicting fan broadband noise, was conducted within the framework of the European project TurboNoiseBB. This paper discusses the first part of the benchmark, which investigates the influence of the RANS inputs. Its companion paper focuses on the influence of the applied acoustic models on predicted fan broadband noise levels. While similar benchmarking activities were conducted in the past, this benchmark is unique due to its large and diverse data set involving members from more than ten institutions. In this work, the authors analyze RANS solutions performed at approach conditions for the ACAT1 fan. The RANS solutions were obtained using different CFD codes, mesh resolutions, and computational settings. The flow, turbulence, and resulting fan broadband noise predictions are analyzed to pinpoint critical influencing parameters related to the RANS inputs. Experimental data are used for comparison. It is shown that when turbomachinery experts perform RANS simulations using the same geometry and the same operating conditions, the most crucial choices in terms of predicted fan broadband noise are the type of turbulence model and applied turbulence model extensions. Chosen mesh resolutions, CFD solvers, and other computational settings are less critical. View Full-Text
Keywords: RANS-informed noise prediction; fan broadband noise; turbulence models; ACAT1 fan; fan noise benchmark RANS-informed noise prediction; fan broadband noise; turbulence models; ACAT1 fan; fan noise benchmark
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MDPI and ACS Style

Kissner, C.; Guérin, S.; Seeler, P.; Billson, M.; Chaitanya, P.; Carrasco Laraña, P.; de Laborderie, H.; François, B.; Lefarth, K.; Lewis, D.; Montero Villar, G.; Nodé-Langlois, T. ACAT1 Benchmark of RANS-Informed Analytical Methods for Fan Broadband Noise Prediction—Part I—Influence of the RANS Simulation. Acoustics 2020, 2, 539-578. https://doi.org/10.3390/acoustics2030029

AMA Style

Kissner C, Guérin S, Seeler P, Billson M, Chaitanya P, Carrasco Laraña P, de Laborderie H, François B, Lefarth K, Lewis D, Montero Villar G, Nodé-Langlois T. ACAT1 Benchmark of RANS-Informed Analytical Methods for Fan Broadband Noise Prediction—Part I—Influence of the RANS Simulation. Acoustics. 2020; 2(3):539-578. https://doi.org/10.3390/acoustics2030029

Chicago/Turabian Style

Kissner, Carolin; Guérin, Sébastien; Seeler, Pascal; Billson, Mattias; Chaitanya, Paruchuri; Carrasco Laraña, Pedro; de Laborderie, Hélène; François, Benjamin; Lefarth, Katharina; Lewis, Danny; Montero Villar, Gonzalo; Nodé-Langlois, Thomas. 2020. "ACAT1 Benchmark of RANS-Informed Analytical Methods for Fan Broadband Noise Prediction—Part I—Influence of the RANS Simulation" Acoustics 2, no. 3: 539-578. https://doi.org/10.3390/acoustics2030029

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