LARGE-EDDY SIMULATION and LAGRANGIAN TRACKING of a DIFFUSER PRECEDED BY A TURBULENT PIPE Sep 07, 2006 Fabio Sbrizzai a, Roberto Verzicco b and Alfredo.

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LARGE-EDDY SIMULATION and LAGRANGIAN TRACKING of a DIFFUSER PRECEDED BY A TURBULENT PIPE Sep 07, 2006 Fabio Sbrizzai a, Roberto Verzicco b and Alfredo Soldati a a Università degli studi di Udine: Centro Interdipartimentale di Fluidodinamica e Idraulica Dipartimento di Energetica e Macchine b Politecnico di Bari: Dipartimento di Ingegneria Meccanica e Gestionale Centre of Excellence for Computational Mechanics

LARGE-EDDY SIMULATION OF THE FLOW FIELD Flow exits from a turbulent pipe and enters the diffuser. Kelvin-Helmholtz vortex-rings shed periodically at the nozzle. Pairing/merging produces 3D vorticity characterized by different scale structures.

NUMERICAL METHODOLOGY Two parallel simulations: Turbulent pipe DNS LES of a large- angle diffuser DNS velocity field interpolated and supplied to LES inlet. Complex shape walls modeled through the immersed- boundaries (Fadlun et al., 2000) L=8 r l=10 r r

LAGRANGIAN PARTICLE TRACKING O(10 5 ) particles having diameter of 10, 20, 50 and 100 m with density of 1000 kg/m 3 Tracked using a Lagrangian reference frame. Particles rebound perfectly on the walls. How to model immersed boundaries during particle tracking? BLUE = particles released in the boundary layer RED = particles released in the inner flow

PARTICLE REBOUND Particles rebound on a curved 3D wall. curve equation:

LOCAL REFERENCE FRAME To properly model particle rebound within Lagrangian tracking, we use a local reference frame X-Y. X-axis is tangent to the curve, Y is perpendicular. Particle bounces back symmetrically with respect to surface normal. X-Y reference frame is rotated with respect to r-z by angle .

FRAME ROTATION 1.Calculation of angle : 2.Rotation matrix. Position: XYXY = sin  cos  cos  -sin  rzrz = sin  cos  cos  -sin  Ux Uy Ur Uz Velocity:

PARTICLE REFLECTION  = reflection coefficient ( = 1 perfect rebound)

FINALLY… Particle coordinates and velocities are rotated back by the inverse (transposed) of the rotation matrix. That’s it!