kong-predictionofstress-2001.pdf (286.07 kB)
Prediction of stress-strain behaviors in steels using an integrated constitutive, FEM and ANN model
journal contribution
posted on 2001-01-01, 00:00 authored by Lingxue KongLingxue Kong, B Wang, Peter HodgsonPeter HodgsonAustenitic steels with a carbon content of 0.0037 to 0.79 wt% C are torsion tested and modeled using a physically based constitutive model and an Integrated Phenomenological and Artificial neural Network (IPANN) model. The prediction of both the constitutive and IPANN models on steel 0.017 wt% C is then evaluated using a finite element (FEM) code ABAQUS with different reduction in the thickness after rolling through one roll stand. It is found that during the rolling process, the prediction accuracy of the reaction force from FEM simulation for both constitutive and IPANN models depends on the strain achieved (average reduction in thickness). By integrating FEM into IPANN model and introducing the product of strain and stress as an input of the ANN model, the accuracy of this integrated FEM and IPANN model is higher than either the constitutive or IPANN model.
History
Journal
ISIJ internationalVolume
41Issue
7Pagination
795 - 800Publisher
Iron and Steel Institute of JapanLocation
Tokyo, JapanLink to full text
ISSN
0915-1559eISSN
1347-5460Language
engPublication classification
C1 Refereed article in a scholarly journal; C Journal articleCopyright notice
2001, ISIJUsage metrics
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