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首页> 外文期刊>Engineering Applications of Computational Fluid Mechanics >Partially-Averaged Navier-Stokes Model for Predicting Cavitating Flow in Centrifugal Pump
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Partially-Averaged Navier-Stokes Model for Predicting Cavitating Flow in Centrifugal Pump

机译：预测离心泵空化流量的部分平均Navier-Stokes模型

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AbstractCavitation is a common phenomenon in pump industries, which leads to severe problems, like vibration and noise. It may degrade the pump performance and even damage the solid surface. So it is significant to give a precise prediction of the pump cavitation performance. The original k-ε model is widely used in the past years. However, it is reported that high viscosity of the original k-ε model dampens cavitation instabilities and hence makes it difficult to capture the detachment of the bubbles. Aiming at improving the predictive capability, the partially-averaged Navier-Stokes (PANS) is employed in this paper to predict the pump cavitation performance. Experiments on a centrifulgal pump with twisted blades are carried out to validate the simulations. The results show that, compared with the original k-ε model, the PANS model with lower fk value gives a more accurate prediction and can reduce the eddy viscosity in the cavity region, leading to capturing the unsteady bubble shedding phenomenon. The ...
机译：摘要空化是泵行业中的常见现象，会导致严重的问题，例如振动和噪音。这可能会降低泵的性能，甚至损坏固体表面。因此，准确预测泵的气蚀性能具有重要意义。最初的k-ε模型在过去的几年中被广泛使用。然而，据报道，原始k-ε模型的高粘度抑制了空化的不稳定性，因此使得难以捕获气泡的分离。为了提高预测能力，本文采用部分平均的Navier-Stokes（PANS）来预测泵的气蚀性能。在带有扭曲叶片的离心泵上进行了实验，以验证模拟结果。结果表明，与原始k-ε模型相比，具有较低fk值的PANS模型可以提供更准确的预测，并且可以减小空腔区域中的涡流粘度，从而捕获不稳定的气泡脱落现象。的...

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