Determination of the thickness control parameters of the rolling process through the sensitivity method, using neural networks

The single stand rolling mill governing equation is a nonlinear function on several parameters (entry thickness, front and back tensions, average yield stress and friction coefficient, etc.). Any alteration on one of them will cause alterations on the rolling load and, consequently, on the outgoing thickness. This paper presents a method for the calculation of the appropriate adjustment on the three control parameters (roll gap, front or back tensions), in which the sensitivity equation of the process, obtained by differentiating a neural network, is used.