Artificial neural network based radial bending characteristics of mixed-flow pump impeller
Impeller radial bending characteristic has applied to many type turbine machines except of pump. Specially, there is no news about application on the mixed-flow pump. In this study,an artificial neural network (ANN) was used for modeling the performance of mixed-flow pump impeller. Thirty seven results were used to train and test. Many patterns have been randomly selected and used as the test date. The main parameters for the experiments are the Gamma, Betal and Beta2. Gamma, Betal and Beta2 have been used as the input layer, and rl has been used as the output layer. The best training algorithm and number of neurons were obtained. At last, a new type, high efriciency mixed-flow pump impeller can be designed.
mixed-flow pump artijicial neural networkt radial bending
JIA Ruixuan
Key Laboratory of Condition Monitoring and Control for Power Plant Equipment Ministry of Education,North China Electric Power University,Changping District, Beijing 102206, China
国际会议
成都
英文
157-159
2010-06-23（万方平台首次上网日期，不代表论文的发表时间）