中文摘要：

为了研究可调后置导叶对轴流泵装置水力性能的影响,基于雷诺时均方程和RNG k-ε湍流模型计算了各工况时7种调节角的后置导叶泵装置的水力性能,分析了不同调节角时后置导叶的翼型绕流速度矢量,构建了可调后置导叶对泵装置能量性能影响的BP-ANN预测模型,并通过理论计算结合数值模拟验证了预测模型的有效性。结果表明：当后置导叶调节角沿顺时针方向增大时,轴流泵装置的高效区向大流量方向偏移;沿逆时针方向增大时,泵装置的高效区向小流量方向偏移。通过调节后置导叶可达到改善导叶体内部流态,减弱甚至消除导叶片进口冲角及尾部脱流等不良流态的目的,从而提高泵装置的水力效率。建立的BP-ANN预测模型具有比较高的预测精度,预测精度在1%以内,可满足实际工程预测要求。

英文摘要：

In order to investigate the effect of adjustable outlet guide vane on hydraulic performance of axial-flow pumping system, the pumping system with seven different adjustable angles of outlet guide vane were simulated based on the RNG k-6 turbulent model and Reynolds time-averaged equations. Vectorgraph of airfoil flow were analyzed under different operating conditions at different adjustable angles of guide vane. BP-ANN prediction model about effect of adjustable outlet guide vane on the hydraulic performance of axial-flow pumping system was established based on numerical results. The effectiveness of prediction model was verified by using theoretical analysis and numerical simulation. The results showed that the high-efficiency area moved to the large flow rate direction with the adjustable angle of guide vane increased along clockwise, otherwise, it moved to the small flow rate direction. The internal flow field of guide vane was improved by adjusting angle and the flow separation of tail and guide vane inlet ledge were decreased or eliminated, which would improve hydraulic efficiency of pumping system. The input model of the BP-ANN prediction model is presented and the number of middle layer is fixed by many tests. The characteristic data of 42 pumping system operating conditions are used to train the network model, and the data of the other seven pumping system operating conditions are used to test the network model. The prediction accuracy of BP-ANN model was below 1%, which can meet the requirement of practical engineering.