COMPUTATION OF PARTICLE-LADEN TURBULENT GAS-FLOWS USING 2 DISPERSION MODELS

A hybrid Eulerian-Lagrangian model was used to study the solid particl es, with a mean diameter of 49.3 mu m and a standard deviation of 4.85 mu m, dispersing from a turbulent wall-adjacent gaseous jet. Two Lagr angian particle dispersion models, the conventional stochastic discret e delta function model and a recently developed stochastic-probabilist ic efficiency-enhanced dispersion (SPEED) model, were used to account for the particle dispersion induced by gas turbulence. The present wor k also investigated the effects of two different methods for determini ng the particle-eddy interaction time on the predicted particle proper ty. Numerical predictions obtained with the different models using the conventional and modified particle-eddy interaction timescales were c ompared with each other and with experimental measurements. It was fou nd that better agreement with experimental data could be achieved by u sing the modified particle-eddy interaction timescale. Moreover, it wa s demonstrated that the SPEED model could not only significantly impro ve the computational efficiency of the trajectory solver by a factor o f 10 far the present how considered but also yield smoother profiles a nd better agreement with the measurements than could the conventional Lagrangian stochastic discrete particle model.