Green recovery of potassium and aluminum elements from alunite tailings using gradient leaching process

Luo, Miao; Liu, Cheng‐Lin; Jiang, Youfa; Xue, Jin; Li, Ping; Yu, Jianguo

doi:10.1016/j.jclepro.2017.09.090

Cited by 18 publications

(9 citation statements)

References 47 publications

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“…Since the main factors influencing the precipitation of aluminum hydroxide are the concentration and volume of the precipitator, the optimization of these parameters is one of the main objectives to find the appropriate conditions [13], so fuzzy logic control was to optimize the process. The fuzzy logic theory has been applied to determine the optimum conditions that make it possible to achieve maximum results, and the main purpose of the work is to increase the yield of aluminium hydroxide by controlling the conditions.…”

Section: Chemical Problems 2022 No 2 (20)mentioning

confidence: 99%

Modelling of the Precipitation Process of Aluminium Hydroxide From Aluminate Solutions Based on Fuzzy Logic Theory

Alyshanly¹,

Geidarov²,

Mammadov³

et al. 2022

Chemical Problems

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The article deals with the application of the fuzzy logic approach to the stage of precipitation of aluminum hydroxide from sodium aluminate solutions obtained from the alkaline solution of raw alunite by hydrogen peroxide as an eco-friendly reagent. Factors influencing the precipitation of aluminum hydroxide in the presence of H2O2 from poor aluminate solutions include the concentration of hydrogen peroxide, the volume of hydrogen peroxide, and other parameters. The application of fuzzy logic to this process allows calculating the probabilities that the parameters can occur not only in one value but in a wide range as well, to find the optimal conditions for obtaining high-yield aluminum hydroxide. Based on the results of the experiments, it is possible to precipitate aluminum hydroxide with a yield of 92% using 15.5 ml of 17% hydrogen peroxide at 25 °C using fuzzy sets suitable for low, medium and high levels, and this figure can be increased or decreased by changing the parameters. The simulation of process control through a fuzzy logic controller is compiled using membership functions in Matlab.

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Section: Chemical Problems 2022 No 2 (20)mentioning

confidence: 99%

Modelling of the Precipitation Process of Aluminium Hydroxide From Aluminate Solutions Based on Fuzzy Logic Theory

Alyshanly¹,

Geidarov²,

Mammadov³

et al. 2022

Chemical Problems

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“…The reason is that the cost of the proposed technological processes does not justify itself in comparison with the changing market price of the final product. Numerous studies on the extraction of valuable components from alunite ore have been proposed [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Processing of Zaglik Alunite Ore by Heap and Tank Leaching

Heydarov¹,

Ch.M.²,

Alyshanly³

et al. 2021

AChJ

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The present work is continuation of our investigations on heap leaching, suggested for the first time. Various variants of alkaline leaching of alunite from alunite ore without preliminary roasting have been studied. In present work the parameters of heap and tank alkaline leaching of alunite ore have been determined. The proposed methods can also be used to extract aluminum from poor alunite rocks. At alunite was washed 17 times with 3% NaOH solution, the degree of weight loss was 30.65%, while with 14 times washing with 10% alkali solution, the weight loss was 47.82 %. The results obtained are also typical for percolation leaching. An increase in alkali concentration and temperature intensifies the leaching process. At a ratio of solid and liquid phases of 1:5, a stirring speed of – 700 cycles/min, and an alkali concentration of 110.9 g/l, at 800C within 60 minutes’ alunite dissolves up to 96% and goes into solution with accompanying components

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“…Nevertheless, the traditional process was commonly associated with high energy consumptions and exhaust emissions because of the high temperature involved in the calcination stage. Then, with the increasingly stringent regulations of environment and ecology, a green gradient leaching process using highly concentrated KOH solution was developed to treat the alunite tailings. , In this method, at low leaching temperature of 353.15 K, most potassium and aluminum resources of potassium alunite from alunite tailings were extracted into the alkaline solution, while the silicon impurities of kaolinite and quartz were kept in the leaching residues. Although the gradient leaching process is a high-efficient method to treat the alunite tailings, it still faces a main technical difficulty, namely, the effective separation of inorganic salts.…”

Section: Introductionmentioning

confidence: 99%

Phase Equilibrium of the Ternary System K₂SO₄–KOH–H₂O at 313.15, 333.15, 343.15, and 353.15 K

Luo

Liu

et al. 2020

J. Chem. Eng. Data

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The phase equilibrium of the ternary system K 2 SO 4 −KOH−H 2 O at 313.15, 333.15, 343.15, and 353.15 K was researched by the isothermal dissolution method. There are one invariant point, two univariant isothermal dissolution curves, and three crystallization regions. Neither double salt nor solid solution is found in the ternary system. At the invariant point of the ternary system, the composition of the solution is K 2 SO 4 0.03 and KOH 56.03 wt % at 313.15 K, K 2 SO 4 0.07 and KOH 57.21 wt % at 333.15 K, K 2 SO 4 0.08 and KOH 58.56 wt % at 343.15 K, and K 2 SO 4 0.09 and KOH 59.48 wt % at 353.15 K, respectively. According to the phase diagrams of the ternary system, it can be indicated that high KOH concentration and low temperature are beneficial to separating K 2 SO 4 from the alkali solution. Furthermore, the solubilities corresponding to the crystallization region of K 2 SO 4 in the ternary system at each temperature were calculated theoretically by using the Pitzer ion interaction model. The calculated K 2 SO 4 solubilities basically agree with experimental values at low KOH concentration. However, the high ionic strength was found to be a key factor that seriously influenced the calculation accuracy. All the data obtained in this work are significant to the design and optimization of the K 2 SO 4 crystallization process from the alkaline leaching solution in the alunite metallurgical industry.

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Green recovery of potassium and aluminum elements from alunite tailings using gradient leaching process

Cited by 18 publications

References 47 publications

Modelling of the Precipitation Process of Aluminium Hydroxide From Aluminate Solutions Based on Fuzzy Logic Theory

Modelling of the Precipitation Process of Aluminium Hydroxide From Aluminate Solutions Based on Fuzzy Logic Theory

Processing of Zaglik Alunite Ore by Heap and Tank Leaching

Phase Equilibrium of the Ternary System K₂SO₄–KOH–H₂O at 313.15, 333.15, 343.15, and 353.15 K

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Green recovery of potassium and aluminum elements from alunite tailings using gradient leaching process

Cited by 18 publications

References 47 publications

Modelling of the Precipitation Process of Aluminium Hydroxide From Aluminate Solutions Based on Fuzzy Logic Theory

Modelling of the Precipitation Process of Aluminium Hydroxide From Aluminate Solutions Based on Fuzzy Logic Theory

Processing of Zaglik Alunite Ore by Heap and Tank Leaching

Phase Equilibrium of the Ternary System K2SO4–KOH–H2O at 313.15, 333.15, 343.15, and 353.15 K

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Phase Equilibrium of the Ternary System K₂SO₄–KOH–H₂O at 313.15, 333.15, 343.15, and 353.15 K