Predviđanje trošenja valjaka za toplo valjanje traka

Wear of work rolls has significant influence on the flatness of hot rolled strip and therefore it is a technological parameter, which should be considered in planning and realization of the rolling technology. The relationship between the rolling program, pass schedule, and the work roll wear profile will be presented with the CAE neural network. The same method is applied in the program for prediction of the optimal shape and prediction of wear progress during the rolling process on one pair of work rolls. This study of the wear of work rolls refers to the Steckel rolling strip technology.Trošenje valjaka ima velik utjecaj na ravnoću toplo valjanih traka i parametar je kojeg treba imati u vidu kod planiranja i realiziranja tehnologije valjanja. U ovom članku prikazana je korelacija između asortimana valjanja, programa valjanja i opisa trošenja profila valjaka pomoću CAE neuronskih mreža. Istom metodom (CAE) služi se za predviđanje optimalnog oblika i razvoja tro-šenja radnih valjaka. Ova studija odnosi se na trošenje valjaka pri vrućem valjanju na Steckel valjačkom stanu