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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 conf...