移动床吸附塔内颗粒沉降与磨损影响的CFD-DEM数值模拟OA

To improve the extraction efficiency of uranyl ions in a moving bed adsorption tower and re-duce the loss of saturated resin,a geometric model incorporating key internal components was estab-lished using a coupled CFD-DEM approach,with model reliability validated against experimental data.Systematic simulations of particle settling under varying inlet flow rates were conducted,focusing on the kinetic behavior at the optimal flow rate.Based on these findings,structural optimizations were implemented,and the particle flow and collision characteristics before and after optimization were compared.The simulation results indicate that the particle settling process can be divided into three distinct stages:initial uniform settling,accelerated directional transport,and energy dissipation depo-sition.Local vortices induced by the liquid distribution device predominantly govern particle spatial distribution,leading to accumulation in the bottom region of the tower.At the optimal flow rate,over 90％of particles reside in the low-velocity range,indicating significant collective stability within the system.Particle contact statistics reveal that wear risk primarily stems from particle-particle colli-sions rather than particle-structure interactions.Comparative analysis of different flow rates demon-strates that velocity markedly influences particle collision frequency and energy by altering the flow field kinetic energy.While the optimized design improves particle distribution uniformity,it also re-sults in a slight increase in collision energy,highlighting a trade-off between flow homogenization and collision dynamics.This study elucidates the microscopic mechanisms of particle transport and wear in moving bed adsorption towers,providing a theoretical basis for the optimization of devices and the regulation of operational parameters.