Sushant Rath, Damodar Rai, Partha Pratim Sengupta, Binod Krishna, Basudeo Roy, Jagdish Singh and Parasuraman Govindrajan:
Mathematical model based optimization of mill set-up in a tandem cold rolling mill
Cold rolling, tandem mill, reduction schedule, mathematical model, dynamic yield stress, mill set-up, optimization
Tandem cold rolling process involves large number of interrelated parameters. In such condition, a mathematical model is required for calculation of optimized mill set-up schedules. Methodology of development of a mathematical model for a 5-stand tandem cold rolling mill has been discussed in the paper. Dynamic yield stress and dynamic ultimate tensile stress of rolled material have been measured in the laboratory. The model has been tuned and validated with industrial mill data. Tuning parameters of the model have been estimated using Powell´s BOTM multivariable unconstrained optimization algorithm. Mill set-up schedules have been optimized by incorporating Box´s constrained multivariable optimization algorithm to the mathematical model.
Finally, the paper focuses on industrial trials at tandem mill of Rourkela Steel Plant, India. In this trial, model predicted mill setup schedule has been used for increasing mill productivity.
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Pierre Gugliermina, Chief Technology Officer, ArcelorMittal
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