Computation of Rolling Stand Parameters by Genetic Algorithm
نویسندگان
چکیده
Mathematical model of rolling process is used at cold mill rolling on tandem mills in metallurgy. The model goal is to analyse rolling process according to process data measured on the mill and get immeasurable variables necessary for rolling control and optimal mill pre-set for next rolled coil. The values obtained by model are used as references for superimposed technology controllers (thickness, speed, tension, etc.) as well. Considering wide steel strip assortment (different initial and final thickness, different hardness), and fluctuation of tandem mill parameters (change of friction coefficient, work rolls abrasion, temperature fluctuation, etc.) the exact analysis of tandem is complicated. The paper deals with an identification of friction coefficient on a single rolling mill stand by a genetic algorithm. Mathematical description of tandem mill stand is based on the modified Bland-Ford model. Results are presented in graphical form.
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