The state-of-the-art design of turbomachinery components is based on Reynolds-averaged Navier–Stokes (RANS) solutions. RANS solvers model the effects of turbulence and boundary layer transition and therefore allow for a rapid prediction of the aerodynamic behavior. The only drawback is that modeling errors are introduced to the solution. Researchers and computational fluid dynamics developers are working on reducing these errors by improved model calibrations which are based on experimental data. These experiments do not typically, however, offer detailed insight into three-dimensional flow fields and the evolution of model quantities in an actual machine. This can be achieved through a direct step-by-step comparison of model quantities between RANS and direct numerical simulation (DNS). In the present work, the experimentally obtained model correlations are recomputed based on DNS of the same turbine profile simulated by RANS. The actual local values are compared to the modeled RANS results, providing information about the source of model deficits. The focus is on the transition process on the blade suction side (SS) and on evaluating the development of turbulent flow structures in the blade's wake. It is shown that the source of disagreement between RANS and DNS can be traced back to three major deficiencies that should be the focus of further model improvements.
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August 2017
Research-Article
Direct Numerical Simulation Based Analysis of RANS Predictions of a Low-Pressure Turbine Cascade
Christoph Müller-Schindewolffs,
Christoph Müller-Schindewolffs
Institute of Turbomachinery and Fluid Dynamics,
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
e-mail: mueller@tfd.uni-hannover.de
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
e-mail: mueller@tfd.uni-hannover.de
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Ralf-D. Baier,
Ralf-D. Baier
Aerodynamic Methods,
MTU Aero Engines AG,
Dachauer Straße 665,
Munich 80995, Germany
MTU Aero Engines AG,
Dachauer Straße 665,
Munich 80995, Germany
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Joerg R. Seume,
Joerg R. Seume
Institute of Turbomachinery and Fluid Dynamics,
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
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Florian Herbst
Florian Herbst
Institute of Turbomachinery and Fluid Dynamics,
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
Search for other works by this author on:
Christoph Müller-Schindewolffs
Institute of Turbomachinery and Fluid Dynamics,
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
e-mail: mueller@tfd.uni-hannover.de
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
e-mail: mueller@tfd.uni-hannover.de
Ralf-D. Baier
Aerodynamic Methods,
MTU Aero Engines AG,
Dachauer Straße 665,
Munich 80995, Germany
MTU Aero Engines AG,
Dachauer Straße 665,
Munich 80995, Germany
Joerg R. Seume
Institute of Turbomachinery and Fluid Dynamics,
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
Florian Herbst
Institute of Turbomachinery and Fluid Dynamics,
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
Leibniz Universität Hannover,
Appelstraße 9,
Hannover 30167, Germany
1Corresponding author.
Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF TURBOMACHINERY. Manuscript received December 13, 2016; final manuscript received January 3, 2017; published online March 21, 2017. Editor: Kenneth Hall.
J. Turbomach. Aug 2017, 139(8): 081006 (11 pages)
Published Online: March 21, 2017
Article history
Received:
December 13, 2016
Revised:
January 3, 2017
Citation
Müller-Schindewolffs, C., Baier, R., Seume, J. R., and Herbst, F. (March 21, 2017). "Direct Numerical Simulation Based Analysis of RANS Predictions of a Low-Pressure Turbine Cascade." ASME. J. Turbomach. August 2017; 139(8): 081006. https://doi.org/10.1115/1.4035834
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