APA 6th Edition Turk, R., Fajfar, P., Robič, R. i Peruš, I. (2002). Prediction of Hot Strip Mill Roll Wear. Metalurgija, 41 (1), 47-51. Preuzeto s https://hrcak.srce.hr/128607
MLA 8th Edition Turk, R., et al. "Prediction of Hot Strip Mill Roll Wear." Metalurgija, vol. 41, br. 1, 2002, str. 47-51. https://hrcak.srce.hr/128607. Citirano 19.09.2019.
Chicago 17th Edition Turk, R., P. Fajfar, R. Robič i I. Peruš. "Prediction of Hot Strip Mill Roll Wear." Metalurgija 41, br. 1 (2002): 47-51. https://hrcak.srce.hr/128607
Harvard Turk, R., et al. (2002). 'Prediction of Hot Strip Mill Roll Wear', Metalurgija, 41(1), str. 47-51. Preuzeto s: https://hrcak.srce.hr/128607 (Datum pristupa: 19.09.2019.)
Vancouver Turk R, Fajfar P, Robič R, Peruš I. Prediction of Hot Strip Mill Roll Wear. Metalurgija [Internet]. 2002 [pristupljeno 19.09.2019.];41(1):47-51. Dostupno na: https://hrcak.srce.hr/128607
IEEE R. Turk, P. Fajfar, R. Robič i I. Peruš, "Prediction of Hot Strip Mill Roll Wear", Metalurgija, vol.41, br. 1, str. 47-51, 2002. [Online]. Dostupno na: https://hrcak.srce.hr/128607. [Citirano: 19.09.2019.]
Sažetak 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.