Using RANS turbulence models and Lagrangian approach to predict particle deposition in turbulent channel flows

摘要

This study investigates the capability and accuracy of three Reynolds-Averaged Navier-Stokes (RANS) turbulence models, i.e. a Reynolds stress model (RSM), a RNG k-?` model, and an SST k-?s model in the prediction of particle deposition in vertical and horizontal turbulent channel flows. The particle movement was simulated using a Lagrangian-based discrete random walk (DRW) model. The