EFFICIENT LAGRANGIAN-TRAJECTORY-MODEL FOR PREDICTING COMPLEX TURBULENT 2-PHASE FLOWS USING THE CURVILINEAR COORDINATES

In this article, a numerical procedure is developed to extend the SPEE D (Stochastic-Probabilistic Efficiency Enhanced Dispersion) model to t he non-orthogonal curvilinear coordinates for the efficient prediction of dispersed turbulent two-phase flows with complex geometries. The p artial-transformation approach using the Cartesian velocity vectors is employed to compute the fluid and dispersed flow fields. The Lagrangi an trajectory model accounts for both the stochastic and probabilistic effects of discrete particle dispersion induced by fluid turbulence. A robust numerical algorithm is developed to determine the probability distribution in irregular Eulerian control volumes. The extended SPEE D model is validated against a 90 deg turbulent bend flow laden with s olid particles. It is found that the computational efficiency is great ly enhanced by using a very fewer number of particle trajectories than the conventional stochastic model while achieving the noise-free comp utational results. (C) 1997 Elsevier Science Ltd.