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A heuristic model selection scheme for representing hot flow data using the hot torsion test results

journal contribution
posted on 2010-04-01, 00:00 authored by Shahin Khoddam, Peter HodgsonPeter Hodgson
The problem of "model selection" for expressing a wide range of constitutive behaviour adequately using hot torsion test data was considered here using a heuristic approach. A model library including several nested parametric linear and non-linear models was considered and applied to a set of hot torsion test data for API-X 70 micro-alloyed steel with a range of strain rates and temperatures. A cost function comprising the modelled hot strength data and that of the measured data were utilized in a heuristic model selection scheme to identify the optimum models. It was shown that a non-linear rational model including ten parameters is an optimum model that can accurately express the multiple regimes of hardening and softening for the entire range of the experiment. The parameters for the optimum model were estimated and used for determining variations of hot strength of the samples with deformation.

History

Journal

Materials and design

Volume

31

Issue

4

Pagination

2011 - 2017

Publisher

Elsevier

Location

Oxford, England

ISSN

0264-1275

eISSN

1873-4197

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2010, Elsevier