Large Eddy Simulation of Cavitating Flows Using a Novel Stochastic Field Formulation

F. Magagnato () and J. Dumond
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F. Magagnato: Karlsruhe Institute of Technology, Department of Fluid Machinery
J. Dumond: Karlsruhe Institute of Technology, Institute for Nuclear and Energy Technologies

A chapter in High Performance Computing in Science and Engineering ‘13, 2013, pp 361-375 from Springer

Abstract: Abstract The basic ideas of the Stochastic Fields method for turbulent reacting flows have been adapted to compressible cavitating flows. A probability density function approach is applied to the vapor mass fraction to simulate vapor bubble size distribution and implemented into our finite volume compressible code. The water-vapor mixture is assumed in homogeneous equilibrium and the vapor mass fraction is described by a set of pure Eulerian transport equations with stochastic source terms.With this novel technique, major two-phase flow parameters like vapor bubble radius, inter-facial area and volume can be captured. Also the source term non-linearity can be resolved at the sub-grid scale. No Lagrangian solver or equations for bubbles clusters are required leading to a low computational cost and simple implementation. The focus of this work is on the theory of the novel stochastic model and aspects of its implementation. Applications include sheet cavitation.

Keywords: Probability Density Function; Large Eddy Simulation; Cavitating Flow; Compressible Code; Vapor Mass Fraction (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02165-2_25

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DOI: 10.1007/978-3-319-02165-2_25

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