HPC-Simulations of Unsteady Turbomachinery Flows
Simon Hummel (),
Nikola Kovachev (),
Christopher Fuhrer () and
Damian M. Vogt ()
Additional contact information
Simon Hummel: ITSM
Nikola Kovachev: ITSM
Christopher Fuhrer: ITSM
Damian M. Vogt: ITSM
A chapter in High Performance Computing in Science and Engineering '23, 2026, pp 271-283 from Springer
Abstract:
Abstract Two turbomachinery test cases are investigated numerically within the scope of this paper. In the first test case, the effect of different operating points on the aerodynamic excitation of the wheel is investigated in three similar vaneless turbocharger turbines. Therefore, many URANS simulations at different operating conditions covering the entire operating map have been performed on high-fidelity models. The analysis of the evaluated excitation maps suggests similar forcing mechanisms. In the second test case, the complex flow field at partload conditions of an axial gas turbine diffuser with two different struts are investigated. The flow phenomena such as smooth wall separation and recirculation for example are predicted performing URANS and SBES simulations. By applying SBES as a scale resolving model, the agreement of the diffuser performance and flow characteristics with experimental data are improved depending on the operating point and strut geometry compared to an URANS approach.
Date: 2026
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:978-3-031-91312-9_19
Ordering information: This item can be ordered from
http://www.springer.com/9783031913129
DOI: 10.1007/978-3-031-91312-9_19
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 ().