EconPapers    
Economics at your fingertips  
 

Turbulence Resolving Flow Simulations of a Francis Turbine with a Commercial CFD Code

Timo Krappel (), Albert Ruprecht and Stefan Riedelbauch
Additional contact information
Timo Krappel: Institute of Fluid Mechanics and Hydraulic Machinery
Albert Ruprecht: 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 ’15, 2016, pp 421-433 from Springer

Abstract: Abstract Transient flow simulations of a Francis turbine in part load conditions using hybrid RANS-LES turbulence models are presented. In the draft tube a rotating low pressure zone—the vortex rope phenomenon—arises, which leads to very complex flow phenomena. A detailed resolution of the flow in space and time is leading to large computational effort. For the flow simulations the commercial CFD code Ansys CFX version 16.0 is used, as the parallel performance especially for this application has improved. Two hybrid RANS-LES turbulence models, the Scale Adaptive Simulation (SAS) and Detached Eddy Simulation (DES) are applied. To have a very good resolution of turbulence, meshes in the range of 50 to 300 million mesh nodes are investigated running on up to more than 2000 cores in parallel.

Keywords: Eddy Viscosity; Guide Vane; Draft Tube; Detach Eddy Simulation; Francis Turbine (search for similar items in EconPapers)
Date: 2016
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:978-3-319-24633-8_27

Ordering information: This item can be ordered from
http://www.springer.com/9783319246338

DOI: 10.1007/978-3-319-24633-8_27

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 ().

 
Page updated 2025-12-11
Handle: RePEc:spr:sprchp:978-3-319-24633-8_27