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Direct Numerical Simulation on the Influence of the Nozzle Design for Water Sheets Emerged at Moderate Reynolds Numbers

In: High Performance Computing in Science and Engineering `07

Author

Listed:
  • Wolfgang Sander

    (Universität Stuttgart, Institut für Thermodynamik der Luft- und Raumfahrt)

  • Bernhard Weigand

    (Universität Stuttgart, Institut für Thermodynamik der Luft- und Raumfahrt)

Abstract

The numerical simulation of liquid jets emerging from hole-type nozzles has received considerable attention since sophisticated numerical schemes and growing computational power have become available. The reason for the efficiency of this novel approach is associated with high numerical accuracy and the simplified numerical setup compared to experiments. Due to this fact, several numerical experiments can be conducted by varying the influencing parameters in order to identify the most influencing factors. The high numerical accuracy of a direct numerical simulation (DNS) is basically achieved by capturing all appearing lengthscales in the flow which are in the order of the usually extremely fine spatial discretization and therefore turbulence modeling is not required. Since preliminary results have shown that the influence of the mean velocity profile can also have a strong influence on the disintegration of the jet, this paper mainly focuses on the influence of the mean axial velocity profile resulting from the variation of the nozzle design. It was found that the kinetic energy per unit mass is one of the major influencing parameters. Additionally bubbly inflows consisting of liquid and air have been regarded in this context. With respect to the numerical accuracy of the presented results, three different grid resolutions were tested in order to identify the influence of the spatial discretization.

Suggested Citation

  • Wolfgang Sander & Bernhard Weigand, 2008. "Direct Numerical Simulation on the Influence of the Nozzle Design for Water Sheets Emerged at Moderate Reynolds Numbers," Springer Books, in: Wolfgang E. Nagel & Dietmar Kröner & Michael Resch (ed.), High Performance Computing in Science and Engineering `07, pages 277-291, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-74739-0_19
    DOI: 10.1007/978-3-540-74739-0_19
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