Application of Neural Networks in the Modeling of Hot Rolling Processes

This work describes the application of neural networks in the modeling of hot rolling processes. This relatively new technique of Artificial Intelligence was conceived more than fifty years ago, but it only became really feasible with the arrival of low cost computer processing power. The first papers about its utilization in the hot rolling field were published about six years ago. Although the first results were promising, there is still some lack of confidence about its real performance under industrial conditions, which is preventing the exclusive use of this new tool in the modeling of hot rolling processes. However, neural networks are already being used, as a standard feature, in hybrid automation models for hot strip mills, where they calculate adjusting coefficients for theoretical models. However, continuous use of these tools and its continuous development certainly will contribute to increase the general confidence in this revolutionary method and pave the way for a more intensive application in practical cases.