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Numerical Study and Optimal Blade Design of a Centrifugal Pump by Evolutionary Algorithms

机译:进化算法的离心泵数值研究与叶片优化设计

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A numerical methodology for hydrodynamic design in centrifugal pumps is developed and tested, considering the possibility to increase the hydraulic efficiency of the pump impeller by improving the blades shape. The simulation and analysis of the incompressible turbulent flow through the test impeller is performed with a commercial CFD code, and the numerical results are in agreement with the corresponding measurements in a laboratory pump impeller. A parametric study is carried out to examine the influence of some blade design parameters on the performance and the efficiency of the impeller, like the blade length, the inlet height, and the leading edge inclination. The values of the above parameters that maximize the hydraulic efficiency of the impeller are then derived by a multiparametric optimization methodology, using a stochastic evolutionary algorithm software. The optimal impeller design exhibits a remarkable efficiency increase compared to the initial impeller design.
机译:考虑到通过改善叶片形状来提高泵轮的液压效率的可能性,开发并测试了离心泵流体动力设计的数值方法。通过商业CFD代码对通过测试叶轮的不可压缩湍流进行仿真和分析,数值结果与实验室泵叶轮中的相应测量结果一致。进行了参数研究,以检查某些叶片设计参数对叶轮性能和效率的影响,例如叶片长度,入口高度和前缘倾斜度。然后,使用随机进化算法软件,通过多参数优化方法,得出使叶轮的液压效率最大化的上述参数的值。与最初的叶轮设计相比,最佳的叶轮设计具有显着的效率提高。

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