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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Gerolymos, G. A. Neubauer, J. Sharma, V. C. Vallet, I. |
| Copyright Year | 2001 |
| Abstract | In this paper an assessment of the improvement in the prediction of complex turbomachinery flows using a new near-wall Reynolds-stress model is attempted. The turbulence closure used is a near-wall low-turbulence-Reynolds-number Reynolds-stress model, that is independent of the distance-from-the-wall and of the normal-to-the-wall direction. The model takes into account the Coriolis redistribution effect on the Reynolds-stresses. The 5 mean flow equations and the 7 turbulence model equations are solved using an implicit coupled O(Δx3) upwind-biased solver. Results are compared with experimental data for 3 turbomachinery configurations: the ntua high subsonic annular cascade, the nasa_37 rotor, and the rwth 1½ stage turbine. A detailed analysis of the flowfield is given. It is seen that the new model that takes into account the Reynolds-stress anisotropy substantially improves the agreement with experimental data, particularly for flows with large separation, while being only 30% more expensive than the k – ε model (thanks to an efficient implicit implementation). It is believed that further work on advanced turbulence models will substantially enhance the predictive capability of complex turbulent flows in turbomachinery. |
| Sponsorship | International Gas Turbine Institute |
| File Format | |
| ISBN | 9780791878521 |
| DOI | 10.1115/2001-GT-0196 |
| Volume Number | Volume 3: Heat Transfer; Electric Power; Industrial and Cogeneration |
| Conference Proceedings | ASME Turbo Expo 2001: Power for Land, Sea, and Air |
| Language | English |
| Publisher Date | 2001-06-04 |
| Publisher Place | New Orleans, Louisiana, USA |
| Access Restriction | Subscribed |
| Subject Keyword | Turbulence Anisotropy Cascades (fluid dynamics) Rotors Turbomachinery Separation (technology) Flow (dynamics) Stress Turbines |
| Content Type | Text |
| Resource Type | Article |
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