Gas-Solid Suspension Flow near Walls: Particle Statistical Mechanics Model and Particle Force Balance Equation

Abstract

We address the problem of estimating the particle distribution in the suspension flow near solid walls which is of considerable interested in science and technology. The present paper focuses on the methodology that can be used to study the dynamics of moving particles. A statistical-mechanics based analytical model is developed for the particle concentration distributions (Eulerian approach). The performance of this approach is compared with a standard force balance model on moving particles that treats particles as a discrete phase (Lagrangian approach). The attractive properties of these approaches are demonstrated in the simulation of a gas-solid suspension flow above solid surfaces with a rebound effect. Results shows that our model can effectively predict particle concentration distributions and both approaches are complementary descriptions for simulating aerosol flows.