Coarse graining Euler-Lagrange simulations of cohesive particle fluidization
Coarse graining Euler-Lagrange simulations of cohesive particle fluidization
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DOI：
10.1016/j.powtec.2020.01.056
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发表时间：
2020-03
影响因子：
5.2
通讯作者：
J. Tausendschön;J. Kolehmainen;S. Sundaresan;S. Radl
中科院分区：
文献类型：
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作者：
J. Tausendschön;J. Kolehmainen;S. Sundaresan;S. Radl
虽然欧拉-拉格朗日模拟可以用数百万个颗粒来执行，但是颗粒粗化（其中颗粒被包裹取代）对于模拟大颗粒和流体-颗粒流动是必要的。本研究探讨粗化策略的粘性颗粒，凝聚力产生通过货车德瓦尔斯相互作用或液体之间的桥梁颗粒。在后一种情况下，还考虑了颗粒之间的液体转移的动力学。基于匹配的无量纲重叠，应力和有效恢复系数的策略，导致相同的粗粒化规则，而基于匹配的邦德数产生一组不同的规则。粘性颗粒流化的试验模拟表明，基于应力的粗粒化规则提供了更好的近似气体和颗粒之间的平均滑移速度。
Although Euler-Lagrange simulations can be performed with millions of particles, particle coarsening where particles are replaced by parcels is necessary for simulation of large particulate and fluid-particle flows. The present study examines coarsening strategies for cohesive particles, where cohesion arises through either van der Waals interaction or liquid bridges between particles. In the latter case, the dynamics of liquid transfer between particles is also taken into account. Strategies based on matching dimensionless overlap, stress and effective coefficient of restitution are shown to lead to same coarse graining rules, while that based on matching the Bond number yields a different set of rules. Test simulations involving fluidization of cohesive particles reveal that the stress-based coarse graining rules provide better approximation of the average slip velocity between the gas and the particles.