Abstract In this study the metallurgical performance grade and recovery forecasting of pilot plant flotation column using Artificial Neural Networks ANN and Multivariate Non-Linear Regression MNLR models is investigated. Modeling is performed based on 90 datasets at different operating conditions. The values of chemical reagents dosage froth height air and wash water flow rates gas ...
The new proposed method wasevaluated by a case study in pilot plant flotation column at Sarcheshmeh Copper Plant. Design of topology and parameters of the neural networks as decision variables was done using genetic algorithms in order to improve the effectiveness of forecasting when ANN is applied to apermeability predicting problem from well.
The graphs show platinum group metals as PGMs and gangue recovery with flotation time at six different air rates measured as cubic meters of air per minute per cubic meter of pulp. PGM concentrate mass recovery increase at different rates resulting in the system operating at successively different recovery grade curves.
Then simulation results were tested using a full size filter in a pilot plant. There are many reports on the use of NNs and traditional statistical methods in mineral processing engineering appli ions but not many reports have been presented in relation to the prediction of grade and recovery in flotation column concentrate.
Recovery and grade accurate prediction of pilot plant flotation column concentrate: Neural network and statistical techniques July 2012 International Journal of Mineral Processing s 110–111:140 ...
Recovery and grade prediction of pilot plant flotation column . International Journal of Mining Science and Technology . Recovery and grade prediction of pilot plant flotation column concentrate by a hybrid neural .. 12 show the actual values that were measured in the laboratory and never seen by the.
the ‘grade-recovery’ curve. It is preferable to prepare this curve with grade on the x-axis because frequently the flotation concentrate grade is set or controlled by smelter contracts. If gold were the desired metal grade is typically recorded on the y-axis as gold recovery by flotation often depends on the recovery of ano-ther mineral.
In one interesting appli ion of ANN and MNLR the grade and recovery in the column flotation concentrate are estimated with parameters measured by this technique.</P>The primary objectives are column recovery and concentrate grade which represent the indices of process productivity and product quality.
Pilot plant data was collected over a period of 13 min based on RTD in order to cover fluctuations in all the measured variables related to the concentrate grade prediction. The simultaneous measured variables are chemical reagents dosage froth height air and wash water flow rates gas holdup Cu and Mo grades in the rougher feed flotation column feed column tail and final concentrate ...
Recovery and grade prediction of pilot plant flotation column concentrate by a hybrid neural genetic algorithm January 2013 International Journal of Mining Science and Technology 23 1 :69–77