Drag force model corrections based on nonuniform particle distributions in multi-particle systems

Drag force model corrections based on nonuniform particle distributions in multi-particle systems
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基于多粒子系统中粒子不均匀分布的曳力模型修正

DOI:
10.1016/j.powtec.2011.02.018
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发表时间:
2011-05
期刊:
影响因子:
5.2
通讯作者:
You, Changfu
You, Changfu
中科院分区:
工程技术2区
文献类型:
--
作者:
Wang, Xi;Liu, Kai;You, Changfu

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曳力是多相流中颗粒与流体之间的主要作用力之一。传统的拖曳力模型没有准确地考虑颗粒分布的不均匀性,这限制了其适用性与相当大的不均匀颗粒分布的影响。采用无网格法(Element-FreeGelerkin法)直接数值模拟了真实的颗粒碰撞过程,研究了不同非均匀颗粒分布下阻力系数的变化。根据不同多相流中颗粒分布的不均匀性,采用不均匀系数修正了传统的曳力模型。结果表明,颗粒分布的不均匀性对阻力系数影响很大,不同的压实方向对阻力系数的影响也不同。在大多数情况下,只需要考虑在垂直于主流方向的方向上的压实效果,并且可以忽略在主流方向上的压实效果。垂直于主流方向的颗粒不均匀性反映了阻力系数的整体动态效应,而主流方向的不均匀性反映了局部波动。因此,考虑非均匀分布的阻力修正模型更准确地反映了阻力系数的动态效应。它比传统的拖曳力模型有更广泛的应用。
The drag force is one major particle–fluid interaction force in multiphase flows. Conventional drag force models do not accurately consider the effect of nonuniform particle distributions which limits their applicability with considerable nonuniform particle distributions. A meshless method (Element-Free Gelerkin method) was used for direct numerical simulations to simulate real particle collisions and investigate the drag coefficient variations in various nonuniform particle distributions. The classical drag force model is corrected using nonuniformity coefficients based on various nonuniform particle distributions in various multiphase flow types. The results show that the nonuniform particle distribution greatly affects the drag coefficient with different compacting directions having different results. In most situations, only the effect of compacting in the direction perpendicular to the main flow direction needs to be considered and the effect of compacting in the main flow direction can be neglected. The particle nonuniformity in the direction perpendicular to the main flow direction reflects the overall dynamic effect of the drag coefficient while the nonuniformity in the main flow direction reflects local fluctuations. Thus, the modified drag force model considering the nonuniform distribution more accurately reflects the dynamic effect of the drag coefficient. It can be more widely used than conventional drag force models.
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DOI: --
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