Effect of interpolation kernels and grid refinement on two way–coupled point-particle simulations

The predictive capability of two way–coupled point-particle Euler–Lagrange model in accurately capturing particle-flow interactions under grid refinement, wherein the particle size can be comparable to size, is systematically evaluated. Two situations are considered, (i) uniform flow over a stationary particle, and (ii) decaying isotropic turbulence laden with Kolmogorov-scale particles. Particle-fluid modeled using only standard drag law, typical large density-ratio systems. A zonal, advection-diffusion-reaction (Zonal-ADR) used obtain undisturbed fluid velocity needed closure. main types interpolation kernels, grid-based size–based, employed. effect kernels on particle-fluid interactions, kinetic energy, dissipation rate, acceleration statistics evaluated detail. It shown that whose width scales perform significantly better refinement than size. Convergence respect spatial resolution obtained size–based without correcting for self-disturbance effect. While use provide convergence scale based small differences still seen converged results self-disturbance. Such indicate need correction best results, especially when particles larger