Cavitation Simulations of a Tip Leakage Vortex for a NACA0009 Hydrofoil and a Francis Turbine at Stable Full Load Operating Point

Jonas Wack () and Stefan Riedelbauch
Additional contact information
Jonas Wack: Institute of Fluid Mechanics and Hydraulic Machinery
Stefan Riedelbauch: Institute of Fluid Mechanics and Hydraulic Machinery

A chapter in High Performance Computing in Science and Engineering ' 18, 2019, pp 351-365 from Springer

Abstract: Abstract In the first part of the study, the ability of homogeneous and inhomogeneous two-phase modeling approach is investigated using a NACA0009 hydrofoil with a cavitating tip leakage vortex. The results indicate that the inhomogeneous model does not increase accuracy of the simulation results. This can be explained by the small diameter of the cavitation bubbles, which results in a strong coupling between liquid and vapor phase. Based on the results for the test case, homogeneous model is applied for two-phase simulations of a Francis turbine at a stable full load operating point. The mesh study demonstrates the need for fine meshes with a size of approximately 50 million elements. While the effect of the cavitation constants can be neglected, the geometry of the runner nut and enabling curvature correction in the SST turbulence model has a relevant impact on simulation accuracy. The use of a transient rotor stator interface is challenging for computational performance. Applying multipass partitioning method increases the speedup by around 10%. Further performance improvement can be achieved with the expert parameter $$parallel \; optimization \; level$$ . All in all, a parallelization on 1200 cores is reasonable.

Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-13325-2_22

Ordering information: This item can be ordered from
http://www.springer.com/9783030133252

DOI: 10.1007/978-3-030-13325-2_22

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().