Online optimization of continuous casting cutting

Abstract

Abstract Continuous casting is a key process in steel production, and optimizing the cutting process to minimize material waste while meeting customer demands is one of the core challenges in improving production efficiency. This paper proposes an online optimization algorithm to address the cutting optimization problem in steel continuous casting. Through an optimization model constructed by combining nested models, analytical modeling, and computer traversal algorithms, cutting schemes can be adjusted in real-time when production abnormalities occur, ensuring production continuity and efficiency. The proposed method demonstrates excellent performance in reducing cutting losses, meeting production requirements, and minimizing secondary cutting operations, with broad practical application potential.