MODELLING OF THE PRECIPITATION PROCESS OF ALUMINIUM HYDROXIDE FROM ALUMINATE SOLUTIONS BASED ON FUZZY LOGIC THEORY

Chemical Problems Pub Date : 2022-01-01 DOI:10.32737/2221-8688-2022-2-183-190

G. I. Alyshanly, A. A. Geidarov, A. Mammadov, S.Kh. Kalantarova

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Abstract

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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基于模糊逻辑理论的铝酸盐溶液中氢氧化铝析出过程建模

本文讨论了用双氧水作为环保试剂，从原明矾石碱性溶液中得到的铝酸钠溶液中，用模糊逻辑方法析出氢氧化铝的过程。过氧化氢的浓度、过氧化氢的体积和其他参数是影响在H2O2存在下从差铝酸盐溶液中析出氢氧化铝的因素。将模糊逻辑应用到这一过程中，可以计算出参数不仅在一个值中出现的概率，而且在很宽的范围内出现的概率，从而找到获得高产量氢氧化铝的最佳条件。实验结果表明，在25℃条件下，使用15.5 ml的17%过氧化氢，采用适合低、中、高浓度的模糊集，可以以92%的收率析出氢氧化铝，并且可以通过改变参数来增加或减少这一数字。利用Matlab中的隶属函数编制了模糊控制器过程控制仿真。

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Chemical Problems

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