3D Predictions of the Primary Breakup of Fuel in Spray Nozzles for Aero Engines

T. F. Dauch (), G. Chaussonnet, M. C. Keller, M. Okraschevski, C. Ates, R. Koch and H.-J. Bauer
Additional contact information
T. F. Dauch: Karlsruher Institut für Technologie, Institut für Thermische Strömungsmaschinen
G. Chaussonnet: Karlsruher Institut für Technologie, Institut für Thermische Strömungsmaschinen
M. C. Keller: Karlsruher Institut für Technologie, Institut für Thermische Strömungsmaschinen
M. Okraschevski: Karlsruher Institut für Technologie, Institut für Thermische Strömungsmaschinen
C. Ates: Karlsruher Institut für Technologie, Institut für Thermische Strömungsmaschinen
R. Koch: Karlsruher Institut für Technologie, Institut für Thermische Strömungsmaschinen
H.-J. Bauer: Karlsruher Institut für Technologie, Institut für Thermische Strömungsmaschinen

A chapter in High Performance Computing in Science and Engineering '20, 2021, pp 419-433 from Springer

Abstract: Abstract Primary breakup of liquid fuel in a realistic fuel spray nozzle as utilized in aero engines is numerically investigated. As grid based methods exhibit a variety of disadvantages with regard to multiphase flows, the “Smoothed Particle Hydrodynamics” (SPH)-method is employed. The suitability of the method to analyze breakup of fuel has been demonstrated in recent publications. In the current contribution the methodology enabling the computation of fuel atomization in the close vicinity of the nozzle is briefely introduced. Special emphasis is put the aspects of High Performance Computing. The domain decompositioning is analyzed and scaling tests are performed. Finally, selected results are presented, which for the first time in the world give insights into the film flow on the prefilmer, the associated wetting effects and the time dependent formation of ligaments downstream the atomizing edge.

Date: 2021
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:978-3-030-80602-6_27

Ordering information: This item can be ordered from
http://www.springer.com/9783030806026

DOI: 10.1007/978-3-030-80602-6_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 ().