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

In: High Performance Computing in Science and Engineering '20

Author

Listed:
  • 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)

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.

Suggested Citation

  • T. F. Dauch & G. Chaussonnet & M. C. Keller & M. Okraschevski & C. Ates & R. Koch & H.-J. Bauer, 2021. "3D Predictions of the Primary Breakup of Fuel in Spray Nozzles for Aero Engines," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '20, pages 419-433, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-80602-6_27
    DOI: 10.1007/978-3-030-80602-6_27
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