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Adding aluminum fluoride to electrolyte, is the most important to regulate electrolyte molecule ratio and the electrolysis temperature in aluminum electrolysis, which directly influences the current efficiency and energy consumption. This paper presents a decision model to decide the amount of AlF 3 addition by use of the historical data including electrolysis temperature, cell working voltage, the amount of aluminum tapping and the amount of AlF3 addition. We established dynamic regression equations and got the regression correlation coefficient by transformation of orthogonal matrices. Selecting two electrolysis cells to check the model, the standard deviation of predicted value and the actual value within two months was 1.2046,1.7768, which can meet the requirements of practical production.

Dynamic Decision Model for Amount of AlF3 Addition in Industrial Aluminum Electrolysis