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

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10 Citations (Scopus)

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 languageEnglish
Pages (from-to)1104-1108
Number of pages5
JournalMaterials Science and Technology (United Kingdom)
Volume18
Issue number10
DOIs
Publication statusPublished - 30 Oct 2002

Keywords

  • mechanical properties
  • artificial neural networks
  • superplastic Inconel* 718

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