Method of decarburizing molten metal in the refining of steel using neural networks

摘要

A method of decarburizing molten metal in the refining of steel using neural networks with a first neural network trained to analyze data representative of many process periods of one or more decarburization operations for providing an oxygen count for a preselected gas ratio of oxygen to diluent gas to cause the temperature of the molten metal bath to be decarburized to rise to a specified aim temperature and with a second neural network trained to analyze data representative of many process periods of one or more decarburization operations for providing an output schedule of oxygen counts to be injected into the bath to reduce the carbon level to a predetermined aim level in one or more successive stages corresponding to a preselected schedule of ratios of oxygen to diluent gas.