Design Optimization of a Centrifugal Pump Using Particle Swarm Optimization Algorithm
Design Optimization of a Centrifugal Pump Using Particle Swarm Optimization Algorithm
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DOI：
10.5293/ijfms.2019.12.4.322
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发表时间：
2019-01-01
影响因子：
--
通讯作者：
Shahrabi, Jamal
中科院分区：
文献类型：
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作者：
Bashiri, Mohamad;Derakhshan, Shahram;Shahrabi, Jamal
在许多行业中，离心泵消耗大量的能源。因此，这些泵的效率优化是如此重要。为了提高离心泵的效率和扬程，对离心泵叶轮的形状进行了优化.采用基于改进人工神经网络（ANN）和粒子群优化（PSO）的进化算法，结合验证的CFD数据，对离心叶轮进行了优化设计。在实验台上对泵进行了实验研究，并利用实测数据对数值计算结果进行了验证。最后，为了验证优化结果，将初始泵的完整数值特性曲线与优化后的泵进行了比较。优化后的水泵效率提高了3.2%，扬程增加了5.52（m）。
In the many industries centrifugal pumps consume a lot of energy. So the efficiency optimization of these pumps is so important. In this study shape of impeller of centrifugal pump was optimized to increase efficiency and head. The evolutionary algorithm based on modified artificial neural network (ANN), particle swarm optimization (PSO) and validated CFD data were used to optimized shape of centrifugal impeller. The pump experimentally investigated in test rig and measured data were used to verify the numerical results. Finally, to verify optimization results the complete numerical characteristic curves of the initial pump were compared with the optimized pump. The numerical results of optimized pump depict that efficiency improved 3.2% and head increase 5.52(m).