An empirical riblet model for manufactured V-shaped and trapezoidal riblets which is suitable for turbomachinery application is presented. The implementation of the riblet effect employs a correlation-based correction for the damping of the specific dissipation rate omega in the vicinity of the wall which has been previously presented by other researchers. In the current paper the correlations are extended into the drag-increasing regime and are extended to account for the effect of misalignment of the riblets relative to the flow and for the effect of adverse pressure gradients. In order to account for the latter in modern, massive parallel CFD-codes, a local Clauser-Parameter has been newly derived. The model is implemented in the 3D turbomachinery design code TRACE and validated with flat plate measurement data and a NACA6510 compressor cascade. The predictions of the experimental values are in very good agreement with the experimental data, showing the capability of the model for designing riblet structured turbomachinery blading.
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ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition
June 13–17, 2016
Seoul, South Korea
Conference Sponsors:
- International Gas Turbine Institute
ISBN:
978-0-7918-4971-2
PROCEEDINGS PAPER
Correlation-Based Riblet Model for Turbomachinery Applications
Viktor Koepplin,
Viktor Koepplin
Leibniz Universität Hannover, Hannover, Germany
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Florian Herbst,
Florian Herbst
Leibniz Universität Hannover, Hannover, Germany
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Joerg R. Seume
Joerg R. Seume
Leibniz Universität Hannover, Hannover, Germany
Search for other works by this author on:
Viktor Koepplin
Leibniz Universität Hannover, Hannover, Germany
Florian Herbst
Leibniz Universität Hannover, Hannover, Germany
Joerg R. Seume
Leibniz Universität Hannover, Hannover, Germany
Paper No:
GT2016-56293, V02CT39A011; 14 pages
Published Online:
September 20, 2016
Citation
Koepplin, V, Herbst, F, & Seume, JR. "Correlation-Based Riblet Model for Turbomachinery Applications." Proceedings of the ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. Volume 2C: Turbomachinery. Seoul, South Korea. June 13–17, 2016. V02CT39A011. ASME. https://doi.org/10.1115/GT2016-56293
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