On the optimization of a rolling-force model for a hot strip finishing line

This paper starts with a profound analysis of rolling-force calculation models of two hot strip rolling product lines. According to classical theory of rolling-force calculation, the structure of rolling-force calculation model is firstly optimized. Then with application of data mining techniques, including clustering sampling approach and optimization algorithm, to the field data from product line, the value of key coefficients of the model is adjusted. By the proposed optimization scheme, a better rolling-force prediction is achieved.