Computational inverse analysis of static recrystallization kinetics

Khoddam, S., Hodgson, P.D. and Beladi, Hossein 2015, Computational inverse analysis of static recrystallization kinetics, International journal of mechanical sciences, vol. 103, pp. 97-103, doi: 10.1016/j.ijmecsci.2015.09.008.

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Title Computational inverse analysis of static recrystallization kinetics
Author(s) Khoddam, S.ORCID iD for Khoddam, S. orcid.org/0000-0002-5205-2086
Hodgson, P.D.
Beladi, HosseinORCID iD for Beladi, Hossein orcid.org/0000-0003-0131-707X
Journal name International journal of mechanical sciences
Volume number 103
Start page 97
End page 103
Total pages 7
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015-11-01
ISSN 0020-7403
1879-2162
Keyword(s) Inverse method
Static recrystalization kinetics
Mechanical testing
Verification tool
Summary © 2015 Published by Elsevier Ltd. All rights reserved. Accurate static recrystallization (SRX) models are necessary to improve the properties of austenitic steels by thermo-mechanical operations. This relies heavily on a careful and accurate analysis of "the interrupted test data" and conversion of the heterogeneous deformation data to the flow stress. A "computational-experimental inverse method" was presented and implemented here to analyze the SRX test data, which takes into account the heterogeneous softening of the post-interruption test sample. Conventional and "inverse" methods were used to identify the SRX kinetics for a model austenitic steel deformed at 1273 K (with a strain rate of 1 s-1) using the hot torsion test assess the merits of each method. Typical "static recrystallization distribution maps" in the test sample indicated that, at the onset of the second pass deformation with less than a critical holding time and a given pre-strain, a "partially-recrystallized zone" existed in the cylindrical core of the specimen near its center line. For the investigated scenario, the core was confined in the first half of the gauge radius when the holding time and the maximum pre strain were below 29 s and 0.5, respectively. For maximum pre strains smaller than 0.2, the specimen did not fully recrystallize, even at the gauge surface after holding for 50 s. Under such conditions, the conventional methods produced significant error.
Language eng
DOI 10.1016/j.ijmecsci.2015.09.008
Field of Research 091207 Metals and Alloy Materials
0910 Manufacturing Engineering
0905 Civil Engineering
0913 Mechanical Engineering
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30079871

Document type: Journal Article
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