Abstract
The force, torque and slab temperature models of each pass in the plate hot-rolling process are established in this paper. In the first, an experimental model of a plate hot-rolling is represented. The structure of this model is in the neural network forms and predicts the steady-state values of force, torque and slab temperature. In the second part, the proposed dynamical models are compared with the classical empiric models commonly used in the rolling practice. The experimental data obtained from Eregli Iron and Steel Factory in Turkey was used for developing both of the models. Copyright © 2004 IFAC
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
