The collection mechanism and heat-transfer characteristics of a packed granular filter were investigated using a three-dimensional randomly packed granular filter model. The bridging method was introduced to optimize the grids of contact points between granules. The influences of granular bed depth, gas velocity, and gas temperature on grade collection efficiency were investigated. The results indicated that a decrease of temperature improved collection efficiency when the particle diameter was greater than 5 μm. The grade collection efficiency maintained a stable value when the Stokes number, St, was less than 0.009, but increased linearly with lg(St) when St $\ge$ 0.009. A logarithmic mean temperature difference method was used to obtain overall heat-transfer coefficients of gas–solid two-phase flow through the packed granular filter. The results showed that convective heat transfer was enhanced due to the introduction of solid particles in the bed. The overall heat-transfer coefficient increased approximately linearly with an increase in particle loading ratio. The Nusselt number was related to the Reynolds number, the Archimedes number, and the particle loading ratio.

使用三维随机填充颗粒过滤器模型研究了填充颗粒过滤器的收集机理和传热特性。引入桥接方法以优化颗粒之间的接触点的网格。研究了颗粒床深度，气体速度和气体温度对级数收集效率的影响。结果表明，当粒径大于5μm时，温度降低可提高收集效率。等级收集效率维持稳定的值时斯托克斯数，圣，小于0.009，但与LG（线性增加圣）时圣 $\ge$ 0.009。使用对数平均温差法获得流过填料颗粒过滤器的气固两相流的总传热系数。结果表明，由于在床中引入了固体颗粒，对流传热得到了增强。随着颗粒负载率的增加，总的传热系数近似线性地增加。努塞尔数与雷诺数，阿基米德数和粒子负载率有关。