The use of a heuristic search technique for the optimization of quality of steel billets produced by continuous casting

Abstract

This work proposes an interaction between a numerical heat transfer model and an artificial intelligence (AI) heuristic search method which is linked to a Knowledge Base for the continuous casting of quality billets (SAE 1010 steel). A two-dimensional heat transfer model was developed using a finite difference method and was applied to real dimensions of a steel billet continuous caster. The Knowledge Base consists of technological and metallurgical constraints. The heuristic search method, aided by the Knowledge Base, explores the space parameter settings in order to find optimized cooling conditions which results in defect free billet production with minimum metallurgical length. The use of the developed search method for determining optimum setting of cooling conditions demonstrated that very good results can be attained in assuring billet quality and in the improvement of caster performance.