Prediction of Oxide Concentration in Rare Earth Molten Salt Electrolysis Process Based on Tank Resistance
Oxide concentration is an important parameter in rare earth molten salt electrolysis,which directly affects the electrolysis efficiency and product quality.A soft measurement method of oxide concentration in the electrolytic process of rare earth molten salt is proposed.Based on the relationship curve between tank resistance and rare earth oxide concentration,the method indirectly mea-sures oxide concentration by tracking the change of tank resistance.Sampling of the resistance in the electrolytic cell,based on the cell resistance at different moments,the slope of the tank resistance,the cumulative slope of the tank resistance,and whether or not material is added.Building a tank resistance prediction model based on BP neural network to predict oxide concentration during rare earth molten salt electrolysis process.The simulation results show that the BP neural network can effectively predict the tank resis-tance and obtain the oxide concentration state in real time.The research results can provide a theoretical basis for the realization of intelligent upgrading of rare earth molten salt electrolysis.
molten salt electrolysistank resistancerare earth oxide concentrationBP neural network
万方数据
维普
