A particle-size dependent smoothing scheme for polydisperse Euler-Lagrange simulations

In Euler-Lagrange models for particulate systems, the information exchange of multiphase coupling terms, i.e. drag force, heat transfer, or mass is often smoothed from particles' location to nearby computational cells when cell and particle sizes are comparable. The diffusion-based smoothing among most popular approach. However, it comes polydisperse state-of-the-art constant diffusivity approach does not consider variation in sizes, resulting an even exchanged across all particles with different sizes. this paper, a particle-size dependent scheme named “non-constant approach” proposed. This distributes based on local Sauter diameter d32 such that area influence per varies by size. one-dimensional analytical solution non-constant first derived two control parameters L⁎ S identified, where determines characteristic length magnitude diffusivity. Together they scale ℓ˜c operation. study, found proposed method suitable dilute regime. investigation extended three-dimensional flow experiment CRIEPI (Central Research Institute Electric Power Industry) pulverized coal burner. It shown using smoothing, prediction O2 concentration more accurate than approach, which assumes universal particles. findings suggest fluid depends can describe benefits cheap cost, conservation quantities, easy-to-implement.