Stochastic Lagrangian Tracking and Deposition of Inertial Particles with an Unstructured Navier-Stokes Solver

C. JIN I. Potts & M. W. Reeks

This abstract describes a method for prediction of inertial particle deposition to a wall surface exposed to turbulent flow, using a stochastic Lagrangian particle tracking approach coupled with an unstructured Navier-Stokes solver. The carrier phase flow field is computed using a commercial CFD code, but it is the numerical techniques for particle tracking through this field that are of interest here.  Use of custom tracking algorithms, linked into the commercial CFD code, allows more flexibility for implementing advanced particle transport models than is otherwise possible. The technique described uses a robust and efficient particle localization algorithm, based on the work of Hasselbacher et. al.[1], to determine which cell within the unstructured mesh contains the tracked particle at each step. The method has been applied to the study of particle deposition in a fully developed turbulent boundary layer, and the dimensionless particle deposition velocity obtained is compared with published experimental measurements.

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