Slab thickness prediction method, width reduction press device control method, and slab thickness prediction model generation method

摘要

PROBLEM TO BE SOLVED: To provide a slab thickness prediction method capable of predicting a slab thickness in a width reduction press device of a hot rolling line with high accuracy, and a method of generating a prediction model. Further, the present invention provides a method for controlling a width reduction press device and a rough rolling mill capable of preventing biting defects in a hot rolling line. A method for predicting a slab thickness is a width in a hot rolling line including a heating furnace 1 for heating the slab and a width reduction press device 3 for intermittently reducing the slab after heating in the heating furnace in the width direction. It is a slab thickness prediction method in a reduction press device, and as input data, one or more parameters selected from the attribute information of the slab, one or more parameters selected from the operation parameters in the heating furnace, and the width in the width reduction press device. A slab thickness in a width reduction press device using a machine learning-generated slab thickness prediction model that includes one or more parameters selected from the reduction operation parameters and uses the slab thickness in the width reduction press device as output data. Find the predicted value of. [Selection diagram] Fig. 2