Blade optimization of Multiphase Rotodynamic pump based on neural network and genetic algorithm
Ma, Xijin1; Li, Xinkai1; Hu, Zhonghui1; Yang, Dengfeng1; Wang, Nan2
2011
会议录名称2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings
页码1979-1982
出版者IEEE Computer Society
摘要A new method based on neural network and genetic algorithm to optimizate the Multiphase Rotodynamic pump is given. Using cubic B-spline surface to parametric the blade profile. Based on the ability of highly nonlinear fitting of BP neural network, the nonlinear relation between the blade parameter and the pump performance parameters is build. Let the trained neural network as a fitness function of the genetic algorithm ,using the characteristic of nonlinear global optimization of genetic algorithms to optimize multiphase rotodynamic pump. Through the fluent numerical calculation of the genetic algorithms output value, the results show that the capability of multiphase pump blade is improved ,and then proved the feasibility of the optimization method. © 2011 IEEE.
关键词Genetic algorithms Global optimization Neural networks Numerical methods BP neural networks Nonlinear global optimization Nonlinear relations Numerical calculation Optimization design Optimization method Rotodynamic pumps Trained neural networks
DOI10.1109/AIMSEC.2011.6010926
收录类别EI
语种英语
EI入藏号20114014387949
EI主题词Pumps
来源库Compendex
分类代码618.2 Pumps - 921.5 Optimization Techniques - 921.6 Numerical Methods
引用统计
文献类型会议论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/116610
专题新能源学院
能源与动力工程学院
作者单位1.School of Energy and Power Engineering, Lanzhou Univ.of Tech., Lanzhou 730050, China;
2.School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
第一作者单位新能源学院
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Ma, Xijin,Li, Xinkai,Hu, Zhonghui,et al. Blade optimization of Multiphase Rotodynamic pump based on neural network and genetic algorithm[C]:IEEE Computer Society,2011:1979-1982.
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