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Investigation on decomposition behavior of austenite under continuous cooling in vanadium microalloyed steel (30MSV6)

Mohamadi Azghandi, Seyed Hadi, Ghanooni Ahmadabadi, Vahide, Raoofian, Iman, Fazeli, Fateh, Zare, Mansour, Zabett, Ahad and Reihani, Hamed 2015, Investigation on decomposition behavior of austenite under continuous cooling in vanadium microalloyed steel (30MSV6), Materials and design, vol. 88, pp. 751-758, doi: 10.1016/j.matdes.2015.09.046.

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Title Investigation on decomposition behavior of austenite under continuous cooling in vanadium microalloyed steel (30MSV6)
Author(s) Mohamadi Azghandi, Seyed Hadi
Ghanooni Ahmadabadi, Vahide
Raoofian, Iman
Fazeli, Fateh
Zare, Mansour
Zabett, Ahad
Reihani, Hamed
Journal name Materials and design
Volume number 88
Start page 751
End page 758
Total pages 8
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015-12-25
ISSN 0264-1275
1873-4197
Keyword(s) Microalloyed steel
Austenite decomposition
Modeling
CCT
Hardness
Summary In the present study, investigations are focused on microstructural evolution and the resulting hardness during continuous cooling transformation (CCT) in a commercial vanadium microalloyed steel (30MSV6). Furthermore, the effects of cooling rate and austenite grain size (AGS) on CCT behavior of the steel have been studied by employing high-resolution dilatometry. Quantitative metallography accompanied with scanning electron microscopy (SEM) has efficiently confirmed the dilatometric measurements of transformation kinetics and austenite decomposition products. A semi-empirical model has been proposed for prediction of microstructural development during austenite decomposition of the steel and the resultant hardness. The model consists of 8 sub-models including ferrite transformation start temperature, ferrite growth, pearlite start temperature, pearlite growth, bainite start temperature, bainite growth, martensite start temperature and hardness. The transformed fractions of ferrite, pearlite and bainite have been described using semi-empirical Johnson-Mehl-Avrami-Kolmogorov (JMAK) approach in combination with Scheil's equation of additivity. The JMAK rate parameter for bainite has been formulated using a diffusion-controlled model. Predictions of the proposed model were found to be in close agreement with the experimental measurements.
Language eng
DOI 10.1016/j.matdes.2015.09.046
Field of Research 0912 Materials Engineering
0913 Mechanical Engineering
091207 Metals and Alloy Materials
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1.1 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:30083613

Document type: Journal Article
Collection: Institute for Frontier Materials
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