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Numerical prediction of performance drop due to cavitation in a centrifugal pump

机译:离心泵中气蚀导致性能下降的数值预测

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In order to predict cavitation performance drop of the centrifugal pump, the RNG κ-ε turbulence model and the mass transport cavitation model are applied to simulate the cavitation flows in a centrifugal pump at different flow rates. The influence of condensation coefficient of the mass transport cavitation model on numerical simulation is analysed. According to the calculation result, the value of condensation coefficient is modified. The calculated variation of pump head and efficiency at different flow rate agrees well with the experimental data. The results demonstrate that the numerical model and method can accurately predict the cavitation flows in a centrifugal pump. The cavitation flow fields in the centrifugal pump are revealed. The results show that the cavity bubbles firstly appear in the blade suction side and then develop to the middle of blade-to-blade channel. When the cavitation bubbles increase and then block the normal flow in the impeller, the pump head gradually drops. The detailed evolutions of cavitation structure in the centrifugal pump impeller are presented to provide beneficial references to the centrifugal pump optimization design.
机译:为了预测离心泵的气蚀性能下降,应用RNGκ-ε湍流模型和传质气蚀模型对不同流量下的离心泵中的气蚀流进行了模拟。分析了传质气穴模型的凝结系数对数值模拟的影响。根据计算结果,修改凝结系数的值。在不同流速下计算出的扬程和效率变化与实验数据吻合良好。结果表明,该数值模型和方法可以准确预测离心泵中的空化流。揭示了离心泵中的空化流场。结果表明,空泡首先出现在叶片吸力侧,然后发展到叶片至叶片通道的中间。当空化气泡增加然后阻止叶轮中的正常流动时,泵压头逐渐下降。提出了离心泵叶轮中气穴结构的详细演变过程,为离心泵的优化设计提供了有益的参考。

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