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COLLECTION RATE CONSTANT MODELING IN A FULL- SCALE FLOTATION COLUMN

AUTHOR/S: M. MASSINAEI, R. DOOSTMOHAMMADI, A. ARYAFARA
Sunday 1 August 2010 by Libadmin2010

10th International Multidisciplinary Scientific GeoConference - SGEM2010, www.sgem.org, SGEM2010 Conference Proceedings/ ISBN 10: 954-91818-1-2, June 20-26, 2010, Vol. 1, 631-638 pp

ABSTRACT

In the present study collection rate constant (kc) was modeled as a function of the most
significant operating variables which affect gas dispersion in a flotation column (i.e.
superficial gas velocity, slurry density (solids%) and frother dosage/type) using artificial
neural network (ANN) and statistical techniques. Experiments were performed in an
industrial flotation column (4 m in diameter and 12 m in height) in rougher circuit of a
copper concentrator. RTD studies using a radioactive tracer have already confirmed that
mixing condition in the existing columns is closed to well-mixed and could be
characterized by the large and small tank-in-series model. Accordingly, a kinetic model
to calculate kc in industrial flotation columns was proposed. The development of the
models and validation using a number of randomly selected datasets is outlined in the
present communication.

Keywords: Froth flotation; Flotation machines; Modeling; Neural networks

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