Details
| Originalsprache | Englisch |
|---|---|
| Publikationsstatus | Veröffentlicht - 2023 |
| Veranstaltung | 15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023 - Budapest, Ungarn Dauer: 24 Apr. 2023 → 28 Apr. 2023 |
Konferenz
| Konferenz | 15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023 |
|---|---|
| Land/Gebiet | Ungarn |
| Ort | Budapest |
| Zeitraum | 24 Apr. 2023 → 28 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.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Maschinenbau
- Ingenieurwesen (insg.)
- Werkstoffmechanik
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
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2023. Beitrag in 15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023, Budapest, Ungarn.
Publikation: Konferenzbeitrag › Paper › Forschung › Peer-Review
}
TY - CONF
T1 - Robust Numerical Operating-Map Prediction Through Systematic Selection of Turbulence Models
AU - Franke, P.
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.
KW - Modeling
KW - Multi-Stage axial compressorf
KW - Operating map
KW - Transition
KW - Turbulence
UR - http://www.scopus.com/inward/record.url?scp=85177674443&partnerID=8YFLogxK
M3 - Paper
T2 - 15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023
Y2 - 24 April 2023 through 28 April 2023
ER -