Development of prediction model for mechanical properties of batch annealed thin steel strip by using artificial neural network modelling

Abstract

It is important to predict the mechanical properties of thin steel strip when it is produced by rolling. For this purpose we have used artificial neural networks (ANN) and the data acquisition system of Rautaruukki Hämeenlinna Works. This paper shows that it is possible to predict accurately the mechanical properties thin steel strip, by using ANN modelling and the measurement data of the process. The prediction model can be used in different ways. For example the effects of process parameters can be evaluated and the controllable parameters can be changed in such a way that the process yields the desired mechanical properties.