Multi-Objective Optimization of the Hydrodynamic Performance of the Second Stage of a Multi-Phase Pump
Multi-Objective Optimization of the Hydrodynamic Performance of the Second Stage of a Multi-Phase Pump
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DOI：
10.3390/en10091334
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发表时间：
2017-09
期刊：
影响因子：
3.2
通讯作者：
J. Suh;Jin-Woo Kim;Young-Seok Choi;Jin-Hyuk Kim;W. Joo;Kyoung-Yong Lee
中科院分区：
文献类型：
--
作者：
J. Suh;Jin-Woo Kim;Young-Seok Choi;Jin-Hyuk Kim;W. Joo;Kyoung-Yong Lee
大多数用于原油生产的多相泵都是为了满足某些压力规格而开发的。在这些泵的设计中，后级的流动特性与前级不同。为此，需要对第二阶段的设计进行补充。为了优化此阶段的性能，本文报告了同时增加压力和效率的多目标优化。通过求解三维稳态雷诺平均纳维-斯托克斯方程，对多相泵的单相和多相进行了流量分析。对于数值优化，选择了与叶片入口角相关的两个设计变量。采用系统优化技术结合中心复合法和混合多目标进化算法与代理模型相结合，对叶轮和扩压器叶片进行了优化。所选的最佳模型比基本模型具有更好的水动力性能，并通过内部流场分析研究了其原因。
Most multi-phase pumps used in crude oil production have been developed to satisfy certain pressure specifications. In the design of these pumps, the flow characteristics of the posterior stage are different from those of the prior stage. For this reason, the design of the second stage needs to be supplemented. To optimize performance in this stage, multi-objective optimization to simultaneously increase pressure and efficiency is reported in this article. Flow analyses of the single and multiple phases of the multi-phase pump were conducted by solving three-dimensional steady Reynolds-averaged Navier–Stokes equations. For the numerical optimization, two design variables related to the blade inlet angle were selected. The impeller and the diffuser blades were optimized using a systematic optimization technique combined with a central composite method and a hybrid multi-objective evolutionary algorithm coupled with a surrogate model. The selected optimal model yielded better hydrodynamic performance than the base model, and reasons for this are investigated through internal flow field analysis.