叶轮
涡轮机
还原(数学)
模糊逻辑
遗传算法
控制理论(社会学)
流量(数学)
模式(计算机接口)
计算机科学
工程类
数学优化
数学
机械工程
控制(管理)
人工智能
操作系统
几何学
作者
Fangfang Zhang,Jiahao Lu,Shijie Yang,Weichao Liu,Ran Tao,Di Zhu,Ruofu Xiao
标识
DOI:10.1016/j.est.2023.106875
摘要
For a pump as turbine (PAT) unit in storage mode, based on the design requirements for flow rate reduction without loss of efficiency and radial force performances, in this study, an effective parameterization method was used to control the geometric shape of guide vane, efficiency and radial force of the unit are set as optimization goals. It is proposed an optimization strategy that combining Fuzzy Logic (FL) with Genetic Algorithm (GA), and combining numerical simulation with experimental verification. The optimization results showed that the efficiency of each working condition has obviously increased while the radial force has decreased. For the target working condition after flow rate reduction, the efficiency is increased by 2.8 % and the radial force is effectively reduced by 37.3 %. It indicated that the study provided a new and effective optimization strategy for improving matching relationship between the impeller and guide vane of turbine machineries.
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