Robust Numerical Operating-Map Prediction Through Systematic Selection of Turbulence Models

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Original languageEnglish
Publication statusPublished - 2023
Event15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023 - Budapest, Hungary
Duration: 24 Apr 202328 Apr 2023

Conference

Conference15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023
Country/TerritoryHungary
CityBudapest
Period24 Apr 202328 Apr 2023

Abstract

In order to provide a foundation for a systematic selection of turbulence model setups, this paper quantifies the sensitivities of performance-map predictions with respect to different turbulent kinetic energy production and destruction terms incorporated by various modeling approaches for turbulence and transition. For this purpose, steady-state simulations based on the Wilcox (1988) k-ω and Menter et al. (2003) k-ω SST turbulence models combined with different extensions for transition, rotational effects, and stagnation-point anomaly fixes are conducted for a 4½-stage axial compressor using the turbomachinery flow solver TRACE. The investigated approaches cause a variation of the total-pressure ratio by up to 11.5% at numerical surge and mass-flow rate by up to 5.1% under choked conditions. Based on the results, the robustness of the operating map prediction appears highest either for the k-ω SST model with extensions for transition, rotational effects, and stagnation point anomaly-fixes, or for the k-ω with an extension for stagnation-point anomaly fixes.

Keywords

    Modeling, Multi-Stage axial compressorf, Operating map, Transition, Turbulence

ASJC Scopus subject areas

Cite this

Robust Numerical Operating-Map Prediction Through Systematic Selection of Turbulence Models. / Franke, P.; Nyhuis, M.; Wein, L. et al.
2023. Paper presented at 15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023, Budapest, Hungary.

Research output: Contribution to conferencePaperResearchpeer review

Franke, P, Nyhuis, M, Wein, L & Mimic, D 2023, 'Robust Numerical Operating-Map Prediction Through Systematic Selection of Turbulence Models', Paper presented at 15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023, Budapest, Hungary, 24 Apr 2023 - 28 Apr 2023.
Franke, P., Nyhuis, M., Wein, L., & Mimic, D. (2023). Robust Numerical Operating-Map Prediction Through Systematic Selection of Turbulence Models. Paper presented at 15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023, Budapest, Hungary.
Franke P, Nyhuis M, Wein L, Mimic D. Robust Numerical Operating-Map Prediction Through Systematic Selection of Turbulence Models. 2023. Paper presented at 15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023, Budapest, Hungary.
Franke, P. ; Nyhuis, M. ; Wein, L. et al. / Robust Numerical Operating-Map Prediction Through Systematic Selection of Turbulence Models. Paper presented at 15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023, Budapest, Hungary.
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AU - Nyhuis, M.

AU - Wein, L.

AU - Mimic, D.

N1 - Publisher Copyright: Copyright © by the Authors.

PY - 2023

Y1 - 2023

N2 - In order to provide a foundation for a systematic selection of turbulence model setups, this paper quantifies the sensitivities of performance-map predictions with respect to different turbulent kinetic energy production and destruction terms incorporated by various modeling approaches for turbulence and transition. For this purpose, steady-state simulations based on the Wilcox (1988) k-ω and Menter et al. (2003) k-ω SST turbulence models combined with different extensions for transition, rotational effects, and stagnation-point anomaly fixes are conducted for a 4½-stage axial compressor using the turbomachinery flow solver TRACE. The investigated approaches cause a variation of the total-pressure ratio by up to 11.5% at numerical surge and mass-flow rate by up to 5.1% under choked conditions. Based on the results, the robustness of the operating map prediction appears highest either for the k-ω SST model with extensions for transition, rotational effects, and stagnation point anomaly-fixes, or for the k-ω with an extension for stagnation-point anomaly fixes.

AB - In order to provide a foundation for a systematic selection of turbulence model setups, this paper quantifies the sensitivities of performance-map predictions with respect to different turbulent kinetic energy production and destruction terms incorporated by various modeling approaches for turbulence and transition. For this purpose, steady-state simulations based on the Wilcox (1988) k-ω and Menter et al. (2003) k-ω SST turbulence models combined with different extensions for transition, rotational effects, and stagnation-point anomaly fixes are conducted for a 4½-stage axial compressor using the turbomachinery flow solver TRACE. The investigated approaches cause a variation of the total-pressure ratio by up to 11.5% at numerical surge and mass-flow rate by up to 5.1% under choked conditions. Based on the results, the robustness of the operating map prediction appears highest either for the k-ω SST model with extensions for transition, rotational effects, and stagnation point anomaly-fixes, or for the k-ω with an extension for stagnation-point anomaly fixes.

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