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

Khoddam, S. and Hodgson, P. D. 2010, A heuristic model selection scheme for representing hot flow data using the hot torsion test results, Materials and design, vol. 31, no. 4, pp. 2011-2017.

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Title A heuristic model selection scheme for representing hot flow data using the hot torsion test results
Author(s) Khoddam, S.
Hodgson, P. D.
Journal name Materials and design
Volume number 31
Issue number 4
Start page 2011
End page 2017
Total pages 7
Publisher Elsevier
Place of publication Oxford, England
Publication date 2010-04
ISSN 0264-1275
1873-4197
0261-3069
Keyword(s) forming
plastic behaviour
material property databases
Summary 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.
Language eng
Field of Research 091307 Numerical Modelling and Mechanical Characterisation
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2010, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30034378

Document type: Journal Article
Collection: Centre for Material and Fibre Innovation
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Citation counts: TR Web of Science Citation Count  Cited 7 times in TR Web of Science
Scopus Citation Count Cited 7 times in Scopus
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Created: Mon, 18 Apr 2011, 15:34:57 EST by Sandra Dunoon