Improved Prediction of Secondary-Flow Behaviour Through a Novel Turbulence Model Extension for Rotational Effects

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

External Research Organisations

  • Cluster of Excellence SE²A Sustainable and Energy-Efficient Aviation
  • MTU Aero Engines AG
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Details

Original languageEnglish
Title of host publicationASME Turbo Expo
Subtitle of host publication13C: Turbomachinery - Deposition, Erosion, Fouling, and Icing; Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions
PublisherAmerican Society of Mechanical Engineers(ASME)
ISBN (print)9780791887103
Publication statusPublished - 2023
EventASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, GT 2023 - Boston, United States
Duration: 26 Jun 202330 Jun 2023

Abstract

In this paper, we present a model extension, which enhances the sensitivity two-equation linear eddy-viscosity turbulence models to an altered turbulence production and decay in rotational flow regions. In order to achieve this, the respective production terms of the turbulent kinetic energy and turbulent dissipation rate of the k-ω shear-stress transport (SST) turbulence model are modified using a rotation-sensitive detection term based on the von Kármán length scale.

Keywords

    rotational effects, secondary flow, Turbulence modelling

ASJC Scopus subject areas

Cite this

Improved Prediction of Secondary-Flow Behaviour Through a Novel Turbulence Model Extension for Rotational Effects. / Mimic, Dajan; Herbst, Florian.
ASME Turbo Expo : 13C: Turbomachinery - Deposition, Erosion, Fouling, and Icing; Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions. American Society of Mechanical Engineers(ASME), 2023. v13ct32a036.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Mimic, D & Herbst, F 2023, Improved Prediction of Secondary-Flow Behaviour Through a Novel Turbulence Model Extension for Rotational Effects. in ASME Turbo Expo : 13C: Turbomachinery - Deposition, Erosion, Fouling, and Icing; Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions., v13ct32a036, American Society of Mechanical Engineers(ASME), ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, GT 2023, Boston, United States, 26 Jun 2023. https://doi.org/10.1115/GT2023-103749
Mimic, D., & Herbst, F. (2023). Improved Prediction of Secondary-Flow Behaviour Through a Novel Turbulence Model Extension for Rotational Effects. In ASME Turbo Expo : 13C: Turbomachinery - Deposition, Erosion, Fouling, and Icing; Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions Article v13ct32a036 American Society of Mechanical Engineers(ASME). https://doi.org/10.1115/GT2023-103749
Mimic D, Herbst F. Improved Prediction of Secondary-Flow Behaviour Through a Novel Turbulence Model Extension for Rotational Effects. In ASME Turbo Expo : 13C: Turbomachinery - Deposition, Erosion, Fouling, and Icing; Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions. American Society of Mechanical Engineers(ASME). 2023. v13ct32a036 Epub 2023 Sept 28. doi: 10.1115/GT2023-103749
Mimic, Dajan ; Herbst, Florian. / Improved Prediction of Secondary-Flow Behaviour Through a Novel Turbulence Model Extension for Rotational Effects. ASME Turbo Expo : 13C: Turbomachinery - Deposition, Erosion, Fouling, and Icing; Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions. American Society of Mechanical Engineers(ASME), 2023.
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title = "Improved Prediction of Secondary-Flow Behaviour Through a Novel Turbulence Model Extension for Rotational Effects",
abstract = "In this paper, we present a model extension, which enhances the sensitivity two-equation linear eddy-viscosity turbulence models to an altered turbulence production and decay in rotational flow regions. In order to achieve this, the respective production terms of the turbulent kinetic energy and turbulent dissipation rate of the k-ω shear-stress transport (SST) turbulence model are modified using a rotation-sensitive detection term based on the von K{\'a}rm{\'a}n length scale.",
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note = "Funding Information: We gratefully acknowledge MTU Aero Engines for providing the cascade geometry and the Institute of Jet Propulsion at Bundeswehr University Munich for providing experimental data. Furthermore, we thank Viktor K{\"o}pplin for his contributions to this project. We also gratefully acknowledge the contribution of the DLR Institute of Propulsion Technology and MTU Aero Engines for providing TRACE. We would like to acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy EXC 2163/1 Sustainable and Energy Efficient Aviation Project ID 390881007. We thank the Leibniz Universit{\"a}t Hannover IT Services (LUIS) for providing computational resources.; ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, GT 2023 ; Conference date: 26-06-2023 Through 30-06-2023",
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AU - Herbst, Florian

N1 - Funding Information: We gratefully acknowledge MTU Aero Engines for providing the cascade geometry and the Institute of Jet Propulsion at Bundeswehr University Munich for providing experimental data. Furthermore, we thank Viktor Köpplin for his contributions to this project. We also gratefully acknowledge the contribution of the DLR Institute of Propulsion Technology and MTU Aero Engines for providing TRACE. We would like to acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy EXC 2163/1 Sustainable and Energy Efficient Aviation Project ID 390881007. We thank the Leibniz Universität Hannover IT Services (LUIS) for providing computational resources.

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N2 - In this paper, we present a model extension, which enhances the sensitivity two-equation linear eddy-viscosity turbulence models to an altered turbulence production and decay in rotational flow regions. In order to achieve this, the respective production terms of the turbulent kinetic energy and turbulent dissipation rate of the k-ω shear-stress transport (SST) turbulence model are modified using a rotation-sensitive detection term based on the von Kármán length scale.

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