Jiang Bingxiao, Yang Junhu, Wang Xiaohui, Shi Fengxia, Bai Xiaobang
School of Energy and Power Engineering, 56677Lanzhou University of Technology, Lanzhou, China.
Key Laboratory of Fluid Machinery and Systems, Lanzhou, China.
Sci Prog. 2021 Oct;104(4):368504211059050. doi: 10.1177/00368504211059050.
In order to improve the operation efficiency of the twisted blade pump as turbine (PAT), a medium specific speed PAT was selected as the research object. The variables of the twisted blade plane blade profile were defined, the twisted blade was transformed into three plane blade profiles, and the blade profiles were parameterized by MATLAB 9.7 software. MATLAB 9.7, CFturbo 2020 and Fluent 19.2 were used to build the support vector machine-high dimensional model representation (SVM-HDMR) surrogate model function for efficiency optimization of PAT. Genetic algorithm was run on MATLAB 9.7 to optimize the surrogate model function, and the optimized blade profiles were fed back. The optimization results were verified by numerical simulation and experiment. The results show that the simulation efficiency of the PAT after optimization at the design operating point is 3.51% higher than the efficiency of the PAT before optimization, and the output power is increased by 5.3%. The test efficiency of the PAT after optimization at the design operating point is 3.4% higher than the efficiency of the PAT before optimization, and the output power is increased by 5.1%.
为提高作为水轮机运行的旋桨泵（PAT）的运行效率，选取了一台比转速适中的PAT作为研究对象。定义了旋桨叶片平面叶片型线的变量，将旋桨叶片转化为三种平面叶片型线，并通过MATLAB 9.7软件对叶片型线进行参数化。利用MATLAB 9.7、CFturbo 2020和Fluent 19.2构建了支持向量机-高维模型表示（SVM-HDMR）代理模型函数，用于PAT的效率优化。在MATLAB 9.7上运行遗传算法对代理模型函数进行优化，并反馈优化后的叶片型线。通过数值模拟和实验对优化结果进行验证。结果表明，优化后的PAT在设计工况点的模拟效率比优化前提高了3.51%，输出功率提高了5.3%。优化后的PAT在设计工况点的试验效率比优化前提高了3.4%，输出功率提高了5.1%。
