Predictive Modeling of the Performance of the Hydrocyclone with Different Cone Combination

摘要：

　　The gypsum dehydration hydrocyclones, with cone combination of 20-10° (bi-conical), 10° (single-cone) and 8-10 ° (bi-conical), were investigated in this article.Sampled data were obtained from the separation experiments.The MATLAB neural network toolbox was used to build 3-layer BP neural network models.The resultant of separation performance prediction errors show that it is feasible to build a predictive separation model for hydrocyclones with neural network.And the built model can serve as an effective method for the design of cyclones.

关键词： hydrocyclone neural network MATLAB performance prediction

作者: Fengqin He Hualin Wang Yonghong Tan Jiangang Wang Ping Zhou Chun K.Seong

作者单位: Research Institute of Process Equipment and Pressure Vessels,East China University of Science and Te Research Institute of Process Equipment and Pressure Vessels,East China University of Science and Te College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,200234,Shang Research Institute of Process Equipment and Pressure Vessels,East China University of Science and Te Civil Engineering,Department School of Engineering,Saint Martins University,Lacey,Washington 98503,

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 147-150

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）