ABSTRACT
Process analysis, design, and optimization rely overwhelmingly on mathematical modeling. In the manufacturing industry, mathematical models play key roles in process control. Since high temperature, visual opacity of molten steel, and the large size of steel processing reactor preclude direct observation, mathematical modeling naturally nds widespread application in steelmaking. For example, mathematical models are routinely used to control the end-blow period accurately in steel melting shops. The enormous productivity of present-day steel mills is but due to widespread application of mathematical models on the shop oor. In addition, new products and new technologies such as thin slab and strip casting, etc. owe a great deal to mathematical modeling. It is envisaged that automation and dynamic control of steelmaking as well as robotization of shop oor activities will witness even more intense application of mathematical modeling in the years to come.
