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.
Original language | English |
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Pages (from-to) | 1104-1108 |
Number of pages | 5 |
Journal | Materials Science and Technology (United Kingdom) |
Volume | 18 |
Issue number | 10 |
DOIs | |
Publication status | Published - 30 Oct 2002 |
Keywords
- mechanical properties
- artificial neural networks
- superplastic Inconel* 718