MEK-Mining (St. Petersburg, Russia):

Mashevskiy G. N., Chief Process Engineer, gennadii.mashevskii@mekgroup.ru

St. Petersburg Mining University (St. Petersburg, Russia):
Ushakov E. K., Postgraduate Student, s195065@stud.spmi.ru
Yakovleva T. A., Postgraduate Student, s205060@stud.spmi.ru

The article analyzes an advanced methodological approach to optimizing reagent flotation regimes during dressability studies for mineral raw materials. This paper studies the electrochemical processes occurring directly in the flotation slurry. In the course of laboratory experiments, the multifunctional effect of sodium sulfide during the flotation of off-balance ore of the Zhezkazgan ore field was studied. The use of the initial multifactorial matrices enabled the subsequent application of digital technologies, which, in turn, made it possible to improve the process indicators for the raw materials studied. It has been shown that the information space required for the implementation of digital technologies may be formed through the application of advanced ionometry methods. With the use of neural network modeling to monitor the electrochemical parameters of the slurry during flotation of copper ore of the Zhezkazgan ore field, it has been found that optimized sodium sulfide supply plays a decisive role in achieving high copper recovery, provided that the potential of the argentite electrode has been stabilized at the level of –450 mV when preparing the slurry before the flotation. The high reliability of the neural network model confirms the effectiveness of the original multifactorial matrices for use in laboratory tests. Due to the high accuracy of the resulting model, the optimal operating process parameters may be found.

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