Predictive system for optimizing continuous steel casting

Spain

IDOM is developing its own technology for continuous casting, the process by which most of the world’s steel is produced. The project focuses on monitoring and predicting the production of square billets during continuous casting. IDOM is collaborating with a leading company in the sector to implement, at its industrial plants, a new continuous casting mold equipped with fiber-optic sensors, which provides key information on the steel solidification process.

This information, along with the rest of the casting data, feeds machine learning models specifically trained to monitor the system’s status. These models enable the early prediction of critical failures, such as breakouts, as well as the detection of defects in the billets at very early stages of the production process. The combination of high-precision sensors and predictive artificial intelligence algorithms provides a detailed, real-time view of the thermal and structural behavior of the steel during casting.

Thanks to this approach, the plant can reduce unscheduled downtime, increase production, and sustainably improve the quality of the final product. All of this enhances process reliability, optimizing the overall operation of continuous casting lines, especially in the case of steels with greater metallurgical complexity.

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