Abstract
The spanwise distribution of impeller exit circulation (SDIEC) has an important influence on the performance of the impeller. To quantitatively study the influence of SDIEC on optimization results, a comprehensive optimization system composed of the computational fluid dynamics, inverse design method, design of experiment, surrogate model, and optimization algorithm was used to optimize a mixed flow pump impeller in two different cases. In the first case, the influence of SDIEC was ignored, while in the second case, the influence of SDIEC was considered. The result shows that the optimization upper limit can be further improved when the influence of SDIEC is considered in the optimization process. The pump efficiency of the preferred optimized impeller F1 obtained in the first case at 1.2Qdes, 1.0Qdes, and 0.8Qdes are increased by 6.48%, 2.41%, and 0.06%, respectively, over the baseline model. Moreover, the pump efficiency of the preferred optimized impeller S2 obtained in the second case further increased by 0.76%, 1.24%, and 1.21%, respectively, over impeller F1. Furthermore, the influence of SDIEC on the performance of the mixed flow pump is clarified by a comparative analysis of the internal flow field.
Highlights
Pumps play an important role in industrial production, urban drainage, sewage treatment, and other fields, and they consume about 15% of the total energy consumption [1]
inverse design method (IDM) is used for blade parameterization and generation; computational fluid dynamics (CFD) is used for impeller performance prediction; and non-dominated sorting genetic algorithm (NSGAII), response surface model (RSM), and Latin hypercube sampling (LHS) are employed together to generate the multiple global optimal trade-off designs within an acceptable time scale
By comparing impellers A and C, it can be seen that, when the influence of spanwise distribution of impeller exit circulation (SDIEC) was considered in the optimization process, the optimization upper limit under low flow conditions increased by 1.2%
Summary
Pumps play an important role in industrial production, urban drainage, sewage treatment, and other fields, and they consume about 15% of the total energy consumption [1]. With the improvement of science and technology, computational fluid dynamics (CFD) has been widely used in the field of mixed flow pump optimization [3]. Compared with the traditional design, which makes use of the conformal transformation method to obtain the blade angle, in IDM, the design parameters directly control the blade angle and are much likely to achieve better results [13]. To quantitatively study the influence of SDIEC on the optimization results, the mixed flow pump impeller was optimized in two different cases by using a comprehensive optimization system. The mixed flow pump design specification and optimization strategy were introduced and the accuracy of the CFD calculation was verified. The optimization results were compared, and the influence of SDIEC on impeller internal flow field was analyzed
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