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Industrial Prediction of Jet-Flap Interaction Noise with Advanced Hybrid RANS-LES Methods

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Progress in Hybrid RANS-LES Modelling

Abstract

Improvements to an industrial process for the simulation of jet-flap interaction noise are evaluated for a single-stream jet and a coaxial jet installed under a wing and flap. Prediction of the strong installation effect agrees well with measurements in a blind comparison. Alongside an advanced DES model with “grey-area” improvements, the importance of software infrastructure aspects such as meshing, numerics and process automation is demonstrated.

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Acknowledgements

The enhanced DES approach was developed in the framework of the EU-funded project “Go4Hybrid” (ACP3-GA-2013-60536-Go4Hybrid). The isolated and installed coaxial nozzle simulations were conducted within the EU-funded project “JERONIMO” (ACP2-GA-2012-314692-JERONIMO). The low-dissipation numerical schemes were implemented during the “FANCI” project funded by Rolls-Royce. The industrialised simulation process was developed within the project “INSPiRE”, funded by the Clean Sky 2 Joint Undertaking of the EU’s Horizon 2020 programme under grant agreement no. 717228. The authors are grateful to the UK Government for supporting the SILOET program, where single-stream jet data were acquired in the QinetiQ NTF, and to Rolls-Royce for facilitating access to these data. The isolated coaxial jet measurements were carried out in the QinetiQ NTF and funded by Rolls-Royce who kindly provided access to the data. The provision of the installed coaxial jet measurement data by ONERA, obtained from their CEPRA19 facility with funding from the EU JERONIMO project, is acknowledged with thanks.

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Mockett, C. et al. (2020). Industrial Prediction of Jet-Flap Interaction Noise with Advanced Hybrid RANS-LES Methods. In: Hoarau, Y., Peng, SH., Schwamborn, D., Revell, A., Mockett, C. (eds) Progress in Hybrid RANS-LES Modelling . Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 143. Springer, Cham. https://doi.org/10.1007/978-3-030-27607-2_24

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  • DOI: https://doi.org/10.1007/978-3-030-27607-2_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27606-5

  • Online ISBN: 978-3-030-27607-2

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