文献类型：会议论文

英文题名：Predictive Modeling of the Performance of the Hydrocyclone with Different Cone Combination

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

机构：[1]East China Univ Sci & Technol, Res Inst Proc Equipment & Pressure Vessels, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, State Key Lab Chem Engn, Shanghai 200237, Peoples R China;[3]Shanghai Normal Univ, Coll Informat Mech & Elect Engn, Shanghai 200234, Peoples R China;[4]St Martins Univ, Sch Engn, Dept Civil Engn, Lacey, WA 98503 USA

会议论文集：3rd International Conference on Digital Manufacturing and Automation (ICDMA 2012)

会议日期：AUG 01-02, 2012

会议地点：Guangxi, PEOPLES R CHINA

语种：英文

外文关键词：hydrocyclone; neural network; MATLAB; performance prediction

摘要：The gypsum dehydration hydrocyclones, with cone combination of 20-10 degrees (bi-conical), 10 degrees (single-cone) and 8-10 degrees (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.