Computational Fluid Dynamics (CFD) modelling of particle deposition in a two-dimensional turbulent channel air flow: Study of influence factors

This paper investigates the deposition of micro-particles in two-dimensional turbulent channel flows by using a developed computational fluid dynamics (CFD) model. The Reynolds stress model (RSM) and the Lagrangian particle tracking method were employed to predict the turbulent air flow and reveal the particle physical behaviours, respectively. The near wall fluctuating velocity was corrected with a damping function. Turbulent dispersion of the particles was taken into account by adopting the discrete random walk model. Deposition velocities of particles with the sizes from 1 to 50 μm were calculated. The simulation results agreed well with available experimental data and the accuracy of this model was evaluated. The influences of Saffman lift force, particle-wall boundary condition, particle density and gravity force on the particle deposition velocity were investigated respectively by using the developed model. The results of present work could be helpful in simulating particle-gas flow in industrial and environmental applications.