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Flow field characteristic analyses of a turbo air classifier's rotor cage and its structurally improved counterpart

机译：涡轮空气分级器转子笼的流场特征分析及其结构改进的对应

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The turbo air classifier is one of the most widely used equipment in powder classification. The complex flow behaviour inside it, however, prevents material experiments from providing information about its internal separation mechanisms. A study of the interaction of structural variables is therefore undertaken examining air flow behaviour, specifically the air flow between the blades of the rotor cage. The investigation of these flow field characteristics made use of the computational fluid dynamics (CFD) to simulate the air flow in the classifier. It was found that the inlet velocity of the turbo air classifier and the rotary speed of the rotor cage are two of the dominating, non-structural factors that affect velocity distributions in the region between the rotor cage blades. Once the inlet velocity settles, a critical rotary speed must be present to smoothen the flow field between the blades, resulting in an excellent classification performance. Three-dimensional velocity measurements of the region between the blades by laser Doppler velocimeter (LDV) were performed to test the results of the flow field simulation. This revealed that when inlet velocity is invariable, the velocity distributions in the region between the blades are at its most symmetric with the critical rotary speed of the rotor cage making it more favourable for classification. The velocity measurement results are likewise in good agreement with the results of the flow field simulation. Newly structured rotor cages are also simulated and compared with a conventional turbo air classifier, air flow in the newly structured model is smoother. The distributions of radial and tangential velocities are more symmetric and the trend of the rotating vortex between the blades attenuates, particularly when the rotary speed is high. The newly structured rotor cages can therefore achieve higher classification performances.
机译：Turbo Air分级器是粉末分类中最广泛使用的设备之一。然而，它内部的复杂流动行为可防止材料实验提供有关其内部分离机制的信息。因此，对结构变量的相互作用进行了研究检查空气流动行为，具体地是转子笼的叶片之间的空气流动。对这些流场特征的研究利用计算流体动力学（CFD）来模拟分类器中的空气流。结果发现，涡轮空气分级器的入口速度和转子笼的旋转速度是影响转子笼叶片之间区域中的速度分布的两个主导的非结构因素。一旦入口速度稳定，必须存在临界旋转速度以使叶片之间的流场平滑，导致出色的分类性能。通过激光多普勒速度计（LDV）进行叶片之间的区域的三维速度测量，以测试流场模拟的结果。这显然显示，当入口速度不变时，叶片之间的区域中的速度分布在其最对称的是，转子笼的临界旋转速度使得它更有利地进行分类。速度测量结果同样与流场仿真结果良好。新结构的转子笼也被模拟并与传统的涡轮式空气分级器进行比较，新结构模型中的空气流动更平稳。径向和切向速度的分布更对称，叶片之间的旋转涡流的趋势衰减，特别是当旋转速度高时。因此，新结构的转子笼可以实现更高的分类性能。

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