Risk Assessment and Intelligent Control of Ladle Pouring Mechanism

Abstract

The constant current casting of molten steel in ladle lifted by special-purpose crane is an important part of metallurgical production line. At the same time, there are risks of failure in the pouring process, so it is necessary to carry out risk assessment on the pouring system. Based on the constant current casting theory, the relationship between velocity and time is deduced by assuming the physical model in the pouring process. And the visual programming software is proposed, and the lifting speed of the auxiliary hook at different moments in different pouring stages is calculated. The lifting speed of the auxiliary hook at different times was input into MATLAB, and the Gaussian curve was fitted in the Notebook environment, to obtain the function and function curve of the lifting speed of the auxiliary hook with respect to time. It can be seen from the comparison of a series of auxiliary hook lifting velocity function curves that the molten steel starts to flow from the ladle until the molten steel is poured. The lifting speed changes smoothly and does not cause huge fluctuations and splashes of molten steel. This study not only prevents the failure of ladle crane, but also realizes the intelligent automatic control of the casting process of ladle crane. It is of great significance to the intelligent development of ladle crane.