Blade optimization of Multiphase Rotodynamic pump based on neural network and genetic algorithm

doi:10.1109/AIMSEC.2011.6010926

CORC > 兰州理工大学 > 兰州理工大学 > 新能源学院

	Blade optimization of Multiphase Rotodynamic pump based on neural network and genetic algorithm
	Ma, Xijin 1; Li, Xinkai 1; Hu, Zhonghui 1; Yang, Dengfeng 1; Wang, Nan 2
	2011
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
DOI	10.1109/AIMSEC.2011.6010926
页码	1979-1982
英文摘要	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.
会议录	2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://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
推荐引用方式 GB/T 7714	Ma, Xijin,Li, Xinkai,Hu, Zhonghui,et al. Blade optimization of Multiphase Rotodynamic pump based on neural network and genetic algorithm[C]. 见:.