Prediction of mechanical properties of superplastic Inconel 718 using artificial neural networks
Prediction of mechanical properties of superplastic Inconel 718 using artificial neural networks
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.
1104-1108
Huang, Yi
9f4df815-51c1-4ee8-ad63-a92bf997103e
Blackwell, Paul L.
1f011a1a-541c-45fa-8ce9-0c7cb780fead
October 2002
Huang, Yi
9f4df815-51c1-4ee8-ad63-a92bf997103e
Blackwell, Paul L.
1f011a1a-541c-45fa-8ce9-0c7cb780fead
Huang, Yi and Blackwell, Paul L.
(2002)
Prediction of mechanical properties of superplastic Inconel 718 using artificial neural networks.
Materials Science and Technology, 18 (10), .
(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.
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Published date: October 2002
Organisations:
Engineering Mats & Surface Engineerg Gp
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Local EPrints ID: 196263
URI: http://eprints.soton.ac.uk/id/eprint/196263
ISSN: 0267-0836
PURE UUID: 7a9ac8d3-699c-45ae-a4d7-6358007a4eb6
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Date deposited: 06 Sep 2011 08:16
Last modified: 15 Mar 2024 03:39
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Author:
Yi Huang
Author:
Paul L. Blackwell
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