Predicting particle phase velocity statistics using fluctuating force-fluctuating torque (F3T) model

Particle laden flows have wide range of applications in industrial and natural processes. Even though, with fast computational facility it has become feasible to perform direct numerical simulations (DNS) of such flows, to address the dynamics of a system having size of practical interest is still not feasible. Therefore, modeling such flows becomes important. We have applied a fluctuating force and fluctuating torque (F3T) model to simulate the dynamics of particle phase in the limit of low volume fraction and high Stokes number. In this model, effect of fluid velocity and vorticity on the particle is modeled as anisotropic Gaussian white noise. Effect of inelasticity and roughness in particle-particle and particle-wall interactions on particle velocity statistics has been predicted. Simulations have also been preformed to investigate the system size dependence on particle phase statistics. All the results, predicted through model have been compared with DNS results.