Synergistic Dust Removal Mechanisms in a Wet String Grid: Insights from Eulerian–Lagrangian Simulations of Turbulent Gas–Droplet–Particle Flow

This study proposes a model for a wet string grid dust removal system based on gas–droplet–particle turbulent Eulerian–Lagrangian simulation, providing in-depth insights into the dust removal mechanism of droplet groups and its impact on dust collection efficiency. Through numerical simulations and theoretical derivation, we systematically introduce the mathematical expression of the droplet group dust removal efficiency and validate its applicability in wet string grid dust removal processes. The study reveals that the dust removal efficiency of the wet string grid system is influenced by multiple factors, including airflow velocity, droplet distribution, and the interaction between droplets and dust particles. By adjusting spray volume, wind speed, and the geometric parameters of the water mist zone, the dust removal process was optimized. The results show that increasing the wind speed enhances dust removal efficiency, but excessive wind speed reduces the dust capture efficiency of droplets. Additionally, based on simulation results of the flow field, the study identifies key factors influencing the dust removal efficiency of droplet groups and provides valuable insights for optimizing wet string grid dust removal systems in practical engineering.