Prediction of Work Parameters in a Cold Mill Using Neural Network

Abstract

The accurate prediction of work parameters is essential for a quality product. A mathematical model is used for parameters calculus. It is important to directly predict the roll force and the other parameters and to compute a corrective coefficient. Combining the network of work parameters and the mathematical model grove up the possibility to obtain parameter who give a new quality for laminates strip.