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Data set generation at novel test-rig for validation of numerical models for modeling granular flows
International Journal of Multiphase Flow ( IF 3.6 ) Pub Date : 2021-05-21 , DOI: 10.1016/j.ijmultiphaseflow.2021.103696
Agata Widuch , Kari Myöhänen , Markku Nikku , Marcin Nowak , Adam Klimanek , Wojciech Adamczyk

Significant effort has been exerted on developing fast and reliable numerical models for modeling particulate flow; this is challenging owing to the complexity of such flows. To achieve this, reliable and high-quality experimental data are required for model development and validation. This study presents the design of a novel test-rig that allows the visualization and measurement of particle flow patterns during the collision of two particle streams. Valuable data sets are provided for the validation of numerical models dedicated to granular flows. The experimental work was conducted for three particle distributions and different configurations of the test rig setup. Additionally, a standard discrete element method for modeling particle transport was applied to the test-rig configuration and the effects of the material spring constant on the predicated flow patterns are investigated. An additional purpose of these simulations was also to collect necessary data for further collision model validation, developed based on a reduced-order technique.



中文翻译:

在新型试验台上生成数据集,用于验证用于模拟颗粒流的数值模型

在开发用于模拟颗粒流的快速可靠的数值模型方面付出了巨大的努力;由于此类流动的复杂性,这具有挑战性。为此,模型开发和验证需要可靠和高质量的实验数据。本研究介绍了一种新型测试台的设计,它允许在两个粒子流碰撞期间对粒子流模式进行可视化和测量。提供了宝贵的数据集,用于验证专用于颗粒流的数值模型。实验工作是针对三种粒子分布和不同配置的测试台设置进行的。此外,将用于模拟粒子传输的标准离散元方法应用于测试台配置,并研究了材料弹簧常数对预测流动模式的影响。这些模拟的另一个目的是收集必要的数据,以进一步验证基于降阶技术开发的碰撞模型。

更新日期:2021-06-02
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