Conference paper
An application of artificial neural network for prediction of densities and particle size distributions in mineral processing industry
IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings, Vol.2, pp.1118-1121
IEEE
Proceedings of the 1997 IEEE Instrumentation & Measurement Technology Conference, IMTC. (Ottawa, Canada, 19/05/1997–21/05/1997)
1997
Abstract
This paper demonstrates an application of artificial neural network (ANN) for determination of underflow and overflow densities of hydrocyclone separators. The discussions are extended and further results are presented for the prediction of particle size distributions in the underflow and overflow streams. The fit of the experimental results against the predicted results are illustrated and a statistical analysis is made. It is shown that, once the history of the operations are known, the ANN proves to he a useful tool for predicting future separation efficiencies. This approach has a potential to eliminate the need for installation of expensive on-line instruments for density measurements and particle size analyses. This approach can be applied in similar situations in the mineral processing industry.
Details
- Title
- An application of artificial neural network for prediction of densities and particle size distributions in mineral processing industry
- Authors/Creators
- H. Eren (Author/Creator) - Curtin UniversityC.C. Fung (Author/Creator)K.W. Wong (Author/Creator)
- Publication Details
- IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings, Vol.2, pp.1118-1121
- Conference
- Proceedings of the 1997 IEEE Instrumentation & Measurement Technology Conference, IMTC. (Ottawa, Canada, 19/05/1997–21/05/1997)
- Publisher
- IEEE
- Identifiers
- 991005545523307891
- Copyright
- © 1997 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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