Prediction of mechanical properties of superplastic Inconel 718 using artificial neural networks

Authors: Huang, Y. and Blackwell, P.L.

Journal: Materials Science and Technology

Volume: 18

Issue: 10

Pages: 1104-1108

ISSN: 0267-0836

DOI: 10.1179/026708302225006016

Abstract:

This paper examines the application of artificial neural networks (ANNs) in materials science and explains the process of using an ANN to develop a constitutive relationship for the widely used nickel based superalloy Inconel 718 (IN718) in the temperature range 950-980°C with strain rates of 10-4 and 10-3 s-1. These parameters are relevant to the high temperature forming of IN718 sheet. The mathematical form of the constitutive relationship derived is given and practical applications of its use are discussed. © 2002 IoM Communications Ltd. Published by Maney for the Institute of Materials, Minerals and Mining.

Source: Scopus

Prediction of mechanical properties of superplastic lnconel*718 using artificial neural networks