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arXiv 2101.02422physics.flu-dyn
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稠密颗粒悬浮液中激波加速流的阻力模型性能

Performance of drag force models for shock-accelerated flow in dense particle suspensions

Andreas Nygård Osnes, Magnus Vartdal

摘要:

模型预测的阻力在一个粒子云的冲击加速后进行评估,从粒子分辨模拟的结果的帮助下,以量化有多少附近的粒子的接近所引入的干扰影响的阻力。这里评估的阻力模型包括准定常力、未扰动流力、无粘非定常力和粘性非定常力。基于体积分数和输入速度的两种稠密粒子幕修正方案也进行了评价。该模型以两种方式进行测试;首先,它们是基于粒子分辨模拟的体积平均流场进行评估的;其次,它们被应用于欧拉-拉格朗日模拟,并将结果与粒子分辨模拟进行比较。结果表明,这两种修正方案显着改善粒子力的预测,但平均总冲量的粒子上仍然是低估了两个修正方案在两个测试。以体积平均流场作为输入,体积分数修正给出了最好的结果。然而,在欧拉-拉格朗日模拟,它表明,速度波动模型,与速度校正方案,是至关重要的平均流场获得准确的预测。

英文摘要:

Models for prediction of drag forces within a particle cloud following shock-acceleration are evaluated with the aid of results from particle-resolved simulations in order to quantify how much the disturbances introduced by the proximity of nearby particles affect the drag forces. The drag models evaluated here consist of quasi-steady forces, undisturbed flow forces, inviscid unsteady forces, and viscous unsteady forces. Two dense particle curtain correction schemes to these forces, based on volume fraction and input velocity, are also evaluated. The models are tested in two ways; first they are evaluated based on volume-averaged flow fields from particle-resolved simulations; secondly, they are applied in Eulerian-Lagrangian simulations, and the results are compared to the particle-resolved simulations. The results show that both correction schemes significantly improve the particle force predictions, but the average total impulse on the particles is still underpredicted by both correction schemes in both tests. With the volume averaged flow fields as input, the volume fraction correction gives the best results. However, in the Eulerian-Lagrangian simulations it is demonstrated that the velocity fluctuation model, associated with the velocity correction scheme, is crucial for obtaining accurate predictions of the mean flow fields.

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