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Aluminum Electrolytic Liquidus Temperature Determination And Applied Research

Posted on:2008-11-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2191360215485597Subject:Analytical Chemistry
Abstract/Summary:PDF Full Text Request
Crystallization temperature and cryolite ratio are importantparameters in Hall-Heroult for aluminum electrolysis. Low crystallizationtemperature enables low bath temperature. The current efficiencyincreases with the decreasing of bath temperature. It is difficult todetermine the temperature parameters of the aluminum electrolytebecause of its corrosive nature and high temperature. It has become animportant task to exactly measure crystallization temperature and cryoliteratio quickly.Probe for measuring crystallization temperature of aluminumelectrolyte was studied in present paper. The basic constitution of theprobe was designed, and a suitable thermocouple and samplingimplement for this method were obtained through experiments. On thebasis of this method and the characteristics of the bath, improvement ofthe probe for covering shortage was studied and made progress.Virtual device systerm for crystallization temperature automaticdetection was set up. Data manage programme and instrument controlpanel were developed by use of labview programming language. It turnedout systerm can gather and analysis a great deal of temperature datas,display cooling curve clearly, and find out Crystallization temperaturewell and truly.Relationship of cryolite ratio, additives and Crystallizationtemperature of the system Na3AlF6-Al2O3-MgF2-CaF2-LiF was tested, aBP neural network model was obtained and proved by experiments ofactual aluminum electrolyte. The results show the deviation between thepredicted value of liquidus temperature gained from the model and themeasured is within±3℃. The deviation between of predicted value ofliquidus temperature gained from the model and the measured is within±0.07.
Keywords/Search Tags:aluminum electrolyte, crystallization temperature, temperature measuring probe, BP neural network model
PDF Full Text Request
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