Application of neural networks for selection of steel grade with required hardenability
by Jacek Trzaska, Wojciech Sitek, Leszek A. Dobrzanski
International Journal of Computational Materials Science and Surface Engineering (IJCMSSE), Vol. 1, No. 3, 2007

Abstract: 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. [Received 15 April 2006; Accepted 15 March 2007]

Online publication date: Fri, 28-Dec-2007

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Materials Science and Surface Engineering (IJCMSSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email