Prediction of BOF Endpoint Temperature and Carbon Content

摘要

The BOF (basic oxygen furnace) process is very complex, and the endpoint temperature and composition are influenced by many factors, therefore it is difficult to control. To accurately predict the endpoint temperature and carbon content has veryimportant meaning for raising the endpoint hitting ratio. In this paper, the model of the BOF endpoint temperature and carbon content is established by means of GM(1, 1) and the compensating model of linear regression. The practical data of 60 heats of an 180T converter in a factory are simulated. The simulating results are satisfied and indicates that the method is practicable and effective.