Estimation of froth flotation recovery and collision probability based on operational parameters using an artificial neural network-Reference-Cited by-同舟云学术

Estimation of froth flotation recovery and collision probability based on operational parameters using an artificial neural network

Published:2010-10 Issue:5 Volume:17 Page:526-534
ISSN:1674-4799
Container-title:International Journal of Minerals, Metallurgy, and Materials
language:en
Short-container-title:Int J Miner Metall Mater

Author:

Chelgani Saeed Chehreh,Shahbazi Behzad,Rezai Bahram

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Metals and Alloys,Geochemistry and Petrology,Mechanical Engineering,Mechanics of Materials

Link

http://link.springer.com/content/pdf/10.1007/s12613-010-0353-1.pdf

Reference35 articles.

1. B.V. Derjaguin and S.S. Dukhin, Theory of flotation of small and medium-size particles, Trans. Inst. Min. Metall., 70(1961), p.221.

2. H.J. Schulze, Physico-chemical Elementary Processes in Flotation: An Analysis from the Point of View of Colloid Science Including Process Engineering Considerations, Elsevier, 1984, p.28.

3. J. Ralston, D. Fornasiero, and R. Hayes, Bubble-particle attachment and detachment in flotation, Int. J. Miner. Process., 56(1999), No.1–4, p.133.

4. H. Schubert, On the turbulence-controlled microprocesses in flotation machines, Int. J. Miner. Process., 56(1999), No.1–4, p.257.

5. B.V. Derjaguin and S.S. Dukhin, Kinetic theory of the flotation of fine particles, [in] Proceedings of the 13th International Mineral Processing Congress, Warsaw, 1979, p.21.

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