Extension of stochastic collision for excentric bubbles in slurry bubble columns

Abstract

Accurate modeling of bubble-particle interactions is vital for understanding slurry bubble column reactors used in chemical, pharmaceutical, and energy applications. This work introduces a novel extension of a stochastic collision model that accounts for bubble eccentricity and oscillating motion. By applying a hybrid Euler-Lagrange approach with LES turbulence modeling, we demonstrate significant improvements in predicting collision frequencies and solid phase distribution. The model was validated using experimental data from literature and showed enhanced prediction capabilities, particularly for systems with varying particle densities. The results underline the importance of including bubble shape dynamics in three-phase flow simulations.