Multi-Parameter Optimization and Analysis on Performance of a Mixed Flow Pump
Multi-Parameter Optimization and Analysis on Performance of a Mixed Flow Pump
复制标题
混流泵性能多参数优化与分析
DOI：
10.29252/jafm.13.01.30077
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发表时间：
2020
影响因子：
1
通讯作者：
Liu Houlin
中科院分区：
文献类型：
--
作者：
Wu Xianfang;Tian Xiao;Tan Minggao;Liu Houlin
以一台带导叶的混流泵为研究模型，选取叶片出口倾角、叶片轮毂包角、叶片进口和出口中流线角、叶片出口宽度、前围带倾角、轮毂倾角和叶片数等8个叶轮参数作为优化变量。首先采用正交试验法和CFD数值模拟法产生样本，然后采用RBF神经网络建立性能预测模型作为目标函数，最后采用多岛遗传算法对目标函数进行求解。在此基础上，提出了不改变叶轮出口公称直径的混流泵能量性能多参数优化方法，并进行了实验验证。采用该方法，模型泵设计点的扬程和效率分别提高了11.5%和4.32%。同时，泵进口、叶轮出口、导叶出口和泵出口处的压力脉动系数峰值均明显下降，最大降幅达62.9%。与原模型相比，优化后的模型静压提高了30 kPa，优化后的静压分布梯度更大、更均匀。叶轮出口处的湍流能量强度降低了0.2m/s。60%叶位和80%叶位处的压力都增加了近65 kPa，而叶压侧的压力下降了50 kPa。
A mixed flow pump with guide vanes was chosen as research model in this study, and eight parameters of the impeller were selected as optimization variables, including blade outlet inclination angle, blade wrap angle at hub, blade inlet angle and outlet angle at middle stream line, blade outlet width, front shroud inclination angle, hub inclination angle and vane number. Firstly, orthogonal experimental method and CFD numerical simulation method were used to produce samples, then the RBF neural network was adopted to establish the performance prediction model as the objective function, multi-island genetic algorithm was used for solving the objective function at last. Based on all the above, a method of multi-parameter optimization method on energy performance of mixed flow pump without changing the nominal diameter of impeller outlet was proposed and then verified by experiments. By this method, the pump head and efficiency at the design point of the model pump were increased by 11.5% and 4.32%, respectively. Meanwhile, the peak value of pressure pulsation coefficient at pump inlet, impeller outlet, guide vane outlet and pump outlet all decreased obviously, by a maximum decrease of 62.9%. Compared to the original model, the static pressure in the optimization model increased by 30kPa and the gradient of static pressure distribution after optimization becomes larger and more uniform. The turbulent energy intensity at the impeller outlet was reduced by 0.2m/s. The pressures at the 60% blade position and 80% blade position both increased by nearly 65kPa and the pressure decreased by 50kPa at the blade pressure side.