Affiliation:
1. East China University of Science and Technology
2. Shanghai Normal University
3. Saint Martin's University
Abstract
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.
Publisher
Trans Tech Publications, Ltd.
Cited by
1 articles.
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