Electrolyte "superheat" has always been one of the indicators of electrolytic aluminum production control. Because in the actual production can directly affect the current efficiency and the service life of the electrolytic cell. Therefore, in recent years, the research on the control of the electrolyte "superheat" index has attracted increasing attention from many experts, scholars, and manufacturers.
At the beginning of 2007, in further exploring the practice of prolonging the life of large prebaked cells, the second electrolysis plant of China Aluminum Shandong Electrolytic Aluminium Plant focused on the influence of electrolyte “superheat†on the service life of the cell, and proposed “to increase electrolyte superheatâ€. Qualification Rate". The project has attracted the attention of branch leaders and was listed as one of the major scientific research projects of the electrolytic aluminum plant in 2007.
In the more than half a year thereafter, the plant's scientific personnel went deep into the production line, collected a large amount of field data, and prepared to use the data to fit the regression equation between the primary crystal temperature and each component of the electrolyte, and established the “superheat†control model. Prepare control procedures to achieve intelligent control of electrolyte “superheatâ€.
So far, how to fit the regression equation between the primary crystal temperature and the electrolyte components has become the core issue of the project. Initially, they first tried to solve the linear equations using the matrix calculator to solve, and then tried to use excel to fit the relationship between the data, but due to the fitted formula or the regression equation fit the primary crystal temperature, The accuracy of the deviation from the measured primary crystal temperature within ±5°C is less than 80%, and the value of the fitted regression equation cannot be effectively reflected, so the effect is unsatisfactory.
At this time, the factory's standard quantitative management pilot production line has entered a stage of full implementation. The introduction of the "Six Sigma" management method and its supporting Minitab data analysis software helped the pilot line solve many practical problems, especially Minitab data. Analysis software plays a more important role in processing various key data.
Therefore, when the legitimate scientific research subject faces “card jamming†and everyone is unable to do so, whether someone can use the “Six Sigma†management method and its supporting Minitab data analysis software to make another test? Sure enough, when various analysis parameters and constraints were set, Minitab data analysis software quickly fitted a multiple regression equation between the primary crystal temperature and each component of the electrolyte.
After repeated tests and repeated verification with on-site data, the regression equation made by Minitab data analysis software, the deviation of the fitted primary crystal temperature from the actual measured temperature is controlled within ±5°C, and the accuracy rate is as high as 95% or more. It embodies the value of fitting the regression equation and plays a decisive role in the further research and practice of “increasing electrolyte superheat†pass rate.
The effective breakthrough of the “superheat degree†research project has greatly encouraged the electrolytic aluminum plant engineering and technical personnel. At the same time, the powerful functions of the “Six Sigma†management method and its supporting Minitab data analysis software in data processing are also causing a sensation in the whole plant. It further deepens the scientific understanding of the "Six Sigma" management method and Minitab data analysis software.
Everyone expressed that they must make great efforts to make good use of Minitab's data analysis software and promote the development of standard quantitative management of electrolytic aluminum plants.
At the beginning of 2007, in further exploring the practice of prolonging the life of large prebaked cells, the second electrolysis plant of China Aluminum Shandong Electrolytic Aluminium Plant focused on the influence of electrolyte “superheat†on the service life of the cell, and proposed “to increase electrolyte superheatâ€. Qualification Rate". The project has attracted the attention of branch leaders and was listed as one of the major scientific research projects of the electrolytic aluminum plant in 2007.
In the more than half a year thereafter, the plant's scientific personnel went deep into the production line, collected a large amount of field data, and prepared to use the data to fit the regression equation between the primary crystal temperature and each component of the electrolyte, and established the “superheat†control model. Prepare control procedures to achieve intelligent control of electrolyte “superheatâ€.
So far, how to fit the regression equation between the primary crystal temperature and the electrolyte components has become the core issue of the project. Initially, they first tried to solve the linear equations using the matrix calculator to solve, and then tried to use excel to fit the relationship between the data, but due to the fitted formula or the regression equation fit the primary crystal temperature, The accuracy of the deviation from the measured primary crystal temperature within ±5°C is less than 80%, and the value of the fitted regression equation cannot be effectively reflected, so the effect is unsatisfactory.
At this time, the factory's standard quantitative management pilot production line has entered a stage of full implementation. The introduction of the "Six Sigma" management method and its supporting Minitab data analysis software helped the pilot line solve many practical problems, especially Minitab data. Analysis software plays a more important role in processing various key data.
Therefore, when the legitimate scientific research subject faces “card jamming†and everyone is unable to do so, whether someone can use the “Six Sigma†management method and its supporting Minitab data analysis software to make another test? Sure enough, when various analysis parameters and constraints were set, Minitab data analysis software quickly fitted a multiple regression equation between the primary crystal temperature and each component of the electrolyte.
After repeated tests and repeated verification with on-site data, the regression equation made by Minitab data analysis software, the deviation of the fitted primary crystal temperature from the actual measured temperature is controlled within ±5°C, and the accuracy rate is as high as 95% or more. It embodies the value of fitting the regression equation and plays a decisive role in the further research and practice of “increasing electrolyte superheat†pass rate.
The effective breakthrough of the “superheat degree†research project has greatly encouraged the electrolytic aluminum plant engineering and technical personnel. At the same time, the powerful functions of the “Six Sigma†management method and its supporting Minitab data analysis software in data processing are also causing a sensation in the whole plant. It further deepens the scientific understanding of the "Six Sigma" management method and Minitab data analysis software.
Everyone expressed that they must make great efforts to make good use of Minitab's data analysis software and promote the development of standard quantitative management of electrolytic aluminum plants.
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