Application of neural networks for selection of steel grade with required hardenability

This paper presents the application of artificial neural network for the selection of steels’ grades with a required hardenability. The purpose has been achieved in two stages. In the first stage, a neural network model for calculating the Jominy curve on the basis of the chemical composition has been worked out. This model made it possible to prepare, in the second stage, a representative set of data and to work out the neural classifier for the selection of steel grade with the required hardenability. The methodology presented in this paper makes it possible to add new grades of steel to the system. The worked out model may be used in computer systems of steel selection for the heat-treated machine parts.