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Stochastic modeling of atomizing spray in a complex swirl injector using large eddy simulation
Authors:Sourabh V Apte  Krishnan Mahesh  Michael Gorokhovski  Parviz Moin
Institution:aSchool of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, 204 Rogers Hall, Corvallis, OR 97331, USA;bDepartment of Aerospace Engineering and Mechanics, University of Minnesota, Minneapolis, MN 55455, USA;cLaboratory of Fluid Mechanics and Acoustics, UMR 5509, CNRS, Ecole Centrale de Lyon, 69131 Ecully Cedex, France;dCenter for Turbulence Research, Stanford University, Stanford, CA 94305, USA
Abstract:Large-eddy simulation of an atomizing spray issuing from a gas-turbine injector is performed. The filtered Navier–Stokes equations with dynamic subgrid scale model are solved on unstructured grids to compute the swirling turbulent flow through complex passages of the injector. The collocated grid, incompressible flow algorithm on arbitrary shaped unstructured grids developed by Mahesh et al. (J. Comp. Phys. 197 (2004) 215–240) is used in this work. A Lagrangian point-particle formulation with a stochastic model for droplet breakup is used for the liquid phase. Following Kolmogorov’s concept of viewing solid particle-breakup as a discrete random process, the droplet breakup is considered in the framework of uncorrelated breakup events, independent of the initial droplet size. The size and number density of the newly produced droplets is governed by the Fokker–Planck equation for the evolution of the pdf of droplet radii. The parameters of the model are obtained dynamically by relating them to the local Weber number and resolved scale turbulence properties. A hybrid particle-parcel is used to represent the large number of spray droplets. The predictive capability of the LES together with Lagrangian droplet dynamics models to capture the droplet dispersion characteristics, size distributions, and the spray evolution is examined in detail by comparing it with the spray patternation study for the gas-turbine injector. The present approach is computationally efficient and captures the global features of the fragmentary process of liquid atomization in complex configurations.
Keywords:Sprays  LES  Complex geometries  Droplet breakup  Stochastic models
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