On the variability of technological indicators in the extraction of precious metals

Abstract

in the conditions of significant variability of processed polymetallic ores of the Akbastau Deposit, it is essential to minimize the variability of technological indicators of enrichment. Due to the multifactorial nature and non-linearity of the flotation process, the use of classical regression models does not provide the necessary level of reliability, therefore, there is a significant variability in the extraction of precious metals. To solve this problem, the paper substantiates the use of the neural network modeling methodology, which allows to estimate the variability of gold and silver extraction depending on the variation of the content of metals in the ore.

Determination of rational steam consumption in steam-air mixture flotation of apatite-nepheline ores

“…In practice, this is resolved by the structure of the separation cascade [11][12][13] which is commonly arranged in such a way [14][15][16], that the necessary pulp beneficiation is achieved by rerecycling the middlings. In the canonical circuit [17][18][19], tailings of primary cleaning and recleaner flotation concentrate [20][21][22] are recycled to rougher flotation, which leads to an increasing content of recoverable mineral [23,24] at the expense of its difficult-to-float (persistent) forms. When mixing products of similar composition, but different separability, the flotation feed is diluted by persistent forms of the recovered mineral -the recovered minerals are distributed according to floatability, which reduces the dressability of the raw material.…”