Wet metallurgy leaching process optimization method with interval uncertainty
An uncertain, hydrometallurgical technology, applied in design optimization/simulation, special data processing applications, instruments, etc., can solve the problems that the mechanism model or data model cannot meet the production requirements of the hydrometallurgical leaching process, and achieve calculation speed Fast, precise results
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Embodiment 1
[0103] Hydrometallurgical single-stage leaching processes such as figure 1 As shown, the leaching process consists of a primary leaching process and a secondary leaching process, and both leaching processes are composed of four serially connected pneumatic continuous stirred tank reactors (CSTR). The ore pulp after pulping is pumped into the first leaching tank, and the tanks are connected by overflow. In the first, second and fourth tanks, sodium cyanide and insoluble gold in the solid phase and gold in the pulp are added. The dissolved oxygen reacts to form gold cyanide complex ions which are soluble in water. The pulp after primary leaching is passed through a vertical filter press for solid-liquid separation to obtain filter cake and filtrate. The uncertain filter cake amount and ore gold grade enter the pulping tank, and the pulp after pulping enters the four leaching tanks in the secondary leaching process in turn, and the same chemical reaction occurs.
[0104] The sp...
Embodiment 2
[0223] Step 1: Aiming at the uncertainty of two pulp concentrations in the hydrometallurgical leaching process, the present invention proposes to use interval numbers to describe the pulp concentration. w1 and secondary leaching pulp concentration C w2 It is divided into five states: NB (negative big), NS (negative middle), ZE (zero), PS (positive middle), PB (positive big). The pulp concentration C w1 and C w2 As the input condition of the mechanism model, the leaching rate of each level and the total leaching rate are finally obtained. Then, the interval analysis theory was combined with the mechanism analysis of the leaching process to establish an optimization model for the gold cyanide leaching process based on the interval uncertainty.
[0224] Step 2: The present invention combines and utilizes the respective advantages of SQP and DE, and proposes an improved DE-SQP hybrid optimization algorithm, which enhances its ability to solve complex hydrometallurgical industri...
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