SIMULATION OF EROSION BY THE DILUTE PARTICULATE FLOW IMPACT

Abstract

In this study, the effects of turbulence intensity, temperature, particle sizes, and impinging velocity on erosion by particle impact are demonstrated numerically. Underlying turbulent flow on an Eulerian frame is described by the Reynolds averaged Navier - Stokes equations with an Renormalization Group Theory (RNG) k-epsilon turbulence model. The particle trajectories and particle - wall interactions are evaluated by a Lagrangian approach. An erosion model considering material weight removal from surfaces is used to predict erosive wear. Computational validation against measured data is performed on a one-phase and two-phase impinging jet. Numerical comparisons reveal that the current study provides better predictive capability for erosion than the previous works.