文献类型：会议论文

英文题名：Modeling on Hydrocyclone Separation Performance by Neural Network

作者：He, Fengqin[1];Zhou, Ping[1];Wang, Jiangang[1]

机构：[1]E China Univ Sci & Technol, Res Inst Proc Equipment & Pressure Vessels, Shanghai 200237, Peoples R China

会议论文集：International Conference on Vibration, Structural Engineering and Measurement (ICVSEM 2011)

会议日期：OCT 21-23, 2011

会议地点：Shanghai, PEOPLES R CHINA

语种：英文

外文关键词：Neural network; LZVV; Hydrocyclone; Modeling

摘要：A 17-27-5 type BP neural network model was built, whose sampled data was got by hydrocyclone separation experiments; another 6-30-5 type BP neural network was also built, whose sampled data came from the simulation results of the LZVV of a hydrocyclone with CFD code FLUENT. The two neural network models also have good predictive validity aimed at hydrocyclone separation performance. It demonstrates LZVV structural parameters can embody hydrocyclone separation performance and reduce input parameter numbers of neural network model. It also indicates that the predictive model of hydrocyclone separation performance can be built by neural network.