Information technologies and using of the software tools for the copper kinetic flotation modelling (original) (raw)

2013, Material, Technology, Education, Security - MTM 2013

To improve kinetic flotation models, many first-order flotation kinetics models with distributions of flotation rate constants were redefined so that they could all be represented by the same set of three model parameters. As a result, the width of the distribution become independent of its mean, and parameters of the model and the curve fitting errors, became virtually the same, independent of the chosen distribution function. In our case, investigations of the chalcopyrite ores are carried out using the Classical model, Klimpel Model and Fully mixed model. According to the experimental results obtained in laboratory, the Classical model is most appropriate for presentation of kinetic flotation, especially by means of MATLAB modeling.

Investigating the first-order flotation kinetics models for Sarcheshmeh copper sulfide ore

This study was performed in two phases of work. In the first stage, four conventional first-order flotation kinetics models were fitted to the measured recoveries data and the best model were selected. In the second stage, influence of pH, solid concentration, water chemistry and the amount of collector dosage were investigated on kinetics parameters including flotation rate constant and ultimate recovery. The results indicated that that perfectly mixed reactor model and Kelsall model gave the best and the weakest fit to the experimental data, respectively. It was observed that flotation rate constant and ultimate recovery were strongly affected by chemical factors investigated especially water quality. The flotation rate constant decreased with increasing the solids content, while ultimate recovery increased to certain value and thereafter reduced. It was also found that the most values of flotation rate constant and ultimate recovery obtained in dosage of collector are 30 and 40 g/t, respectively.

A Study of the Optimal Model of the Flotation Kinetics of Copper Slag from Copper Mine BOR

Archives of Mining Sciences, 2014

In this study the effect of mixtures of copper slag and flotation tailings from copper mine Bor, Serbia on the flotation results of copper recovery and flotation kinetics parameters in a batch flotation cell has been investigated. By simultaneous adding old flotation tailings in the ball mill at the rate of 9%, it is possible to increase copper recovery for about 20%. These results are compared with obtained copper recovery of pure copper slag. The results of batch flotation test were fitted by MatLab software for modeling the first-order flotation kinetics in order to determine kinetics parameters and define an optimal model of the flotation kinetics. Six kinetic models are tested on the batch flotation copper recovery against flotation time. All models showed good correlation, however the modified Kelsall model provided the best fit.

Analyzing statistically the flotation of copper recovery by regression lines

Sarhad Journal of Agriculture, 2010

The present study was conducted during 2004 to develop mathematical models for individual parameter to enrich copper in concentrate from raw copper ore of North Waziristan (Pakistan). The study is based on the primary experimental data with seven important process parameters i.e type and dosage of collector (X1g/ton), pH (X2), depressant Sodium Cyanide (X3 g/ton), Sulfidizer sodium sulphide (X4g/ton), frother dosage (X5g/ton), pulp density (X6 % vol/wt) and conditioning time (X7 minute) and consists of 31 observations. Flotation process parameters were studied to concentrate the copper content i.e. chalcopyrite of North Waziristan copper ore. Mathematical models were developed by applying statistical and computational “Excel” Techniques. Forty mathematical models for the recovery of copper have been constructed.

Coupling mineralogy with physicochemical parameters in view copper flotation efficiency improvement

2019

The Chelopech epithermal arsenic bearing high-sulphidation, copper-gold deposit located in Bulgaria is often considered as the richest European gold deposit. Selected physicochemical parameters have been measured at key flotation streams inside the processing plant. Sampling campaign has followed with samples being submitted to chemical and mineral liberation analyses. A quantitative analysis has enabled to link copper flotation response to the type of copper bearing minerals and physiochemical parameters such as redox potential (Eh), dissolved oxygen (DO), EDTA extractable Cu and Fe. Data from the mineral liberation analysis (MLA) have highlighted an important processrelevant information explaining the variable floatability in different particle size ranges. A low chalcopyrite recovery can be linked to the non-sufficient amount of dissolved oxygen inside the copper selective flotation. Given the finely-disseminated copper bearing minerals, copper losses due to particle locking coul...

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