Method for predicting the amount of hydrogen in steel, method for controlling the amount of hydrogen in steel, manufacturing method, method for generating a model for predicting the amount of hydrogen in steel, and device for predicting the amount of hydrogen in steel.

摘要

PROBLEM TO BE SOLVED: To provide a method for predicting the amount of hydrogen in steel of a steel strip, a method for generating a model for predicting the amount of hydrogen in steel, and a device for predicting the amount of hydrogen in steel. Further, the present invention provides a method for controlling the amount of hydrogen in steel and a method for manufacturing the steel strip, which effectively reduces the amount of hydrogen in steel. SOLUTION: This is a method for predicting the amount of hydrogen in steel of a steel strip on the downstream side of the reheating step in a continuous hot-dip plating facility that executes a manufacturing process including a baking step, a plating step and a reheating step of the steel strip. As input data, an input data acquisition step for acquiring one or more parameters selected from the operation parameters of the continuous hot-dip plating facility and transformation rate information measured in at least one of the annealing process and the reheating process, and a re-input data acquisition step. Using the machine learning-learned model for predicting the amount of hydrogen in the steel strip, which uses information on the amount of hydrogen in the steel strip downstream of the heating process as output data, the hydrogen in the steel strip on the downstream side of the reheating process is used. Includes predicting quantity. [Selection diagram] FIG. 4