文献类型：期刊文献

英文题名：Predictive modeling of the performance of the hydrocyclone with different cone combination

作者：He, Fengqin[1,3]; Wang, Hualin[1,2]; Tan, Yonghong[3]; Wang, Jiangang[1]; Zhou, Ping[1]; Seong, Chun K.[4]

机构：[1] Research Institute of Process Equipment and Pressure Vessels, East China University of Science and Technology, 200237, Shanghai, China; [2] State Key Laboratory of Chemical Engineering, East China University of Science and Technology, 200237, Shanghai, China; [3] College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, 200234, Shanghai, China; [4] Civil Engineering, Department School of Engineering, Saint Martin's University, Lacey, WA 98503, United States

年份：2012

卷号：190-191

起止页码：147

外文期刊名：Applied Mechanics and Materials

收录：EI(收录号：20124215573177)

语种：英文

外文关键词：Cyclone separators - Separation

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. ? (2012) Trans Tech Publications, Switzerland.