Post processing of the hot torsion test results using a multi-dimensional modelling approach

Khoddam, S. and Hodgson, P. D. 2010, Post processing of the hot torsion test results using a multi-dimensional modelling approach, Materials and design, vol. 31, no. 5, pp. 2578-2584, doi: 10.1016/j.matdes.2009.11.029.

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Title Post processing of the hot torsion test results using a multi-dimensional modelling approach
Author(s) Khoddam, S.
Hodgson, P. D.
Journal name Materials and design
Volume number 31
Issue number 5
Start page 2578
End page 2584
Total pages 7
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2010
ISSN 0264-1275
Keyword(s) forming
plastic behaviour
material property databases
Summary A model selection scheme was extended to a multi-dimensional representation of the hot torsion test torque, twist and twist rate data to calculate partial derivatives of the torque data with respect to twist and twist rate. These enabled calculation of the instantaneous strain and strain rate hardening indices in the Fields and Backofen method. The concept of an iso-parametric shape function has been borrowed from the finite element method for adding twist rate as a dependant variable to the torque-twist models identified by the model selection scheme. Expressions to calculate the hardening indices, when employing a rational model of torsion data, were derived and presented. Subsequently, the models were used for post processing the data and determining hot strength behaviour, taking into account variations of strain and strain rate hardening indices during the deformation. To substantiate the technique, the hot flow behaviour of API-X70 micro-alloyed steel was determined using a range of hot torsion test data for the material. The flow stress obtained using the instantaneous hardening indices were compared with that obtained by the orthodox technique. For the investigated cases, the onset of dynamic recrystallization (DRX) predicted by the presented technique deviated considerably from those obtained when the average indices were used.
Language eng
DOI 10.1016/j.matdes.2009.11.029
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
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Document type: Journal Article
Collections: Centre for Material and Fibre Innovation
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