Quantitative prediction of Al and learning grain boundary character in Al-rich interstitial free steel
Tamboli, Rameez R. and Dudala, Srinivas and Andersen, Dustin and Valle, Nathalie and Eswara, Santhana and Korla, Rajesh and Dey, Suhash Ranjan and et al, . (2022) Quantitative prediction of Al and learning grain boundary character in Al-rich interstitial free steel. Scripta Materialia, 219. pp. 1-5. ISSN 1359-6462
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Abstract
It is known that the addition of Al in interstitial free steel has a positive influence on the normal direction fiber recrystallization texture. The location and role of Al in interstitial free steel are not yet clear. Current research shows the likely role of Al in precipitation and/or its location in the grain matrix/grain boundary (0.17 wt% Al) and its impact on the properties. Industrially processed hot-rolled steel subjected to cold rolling (90%) and isothermal annealing validated the formation of normal direction fiber recrystallization texture. Precipitation studies showed no Al-containing precipitates. High-resolution secondary ion mass spectrometry imaging confirmed the presence of Al more on certain grain boundaries in fully recrystallized steel. Molecular statics simulation studies using a large-scale atom/molecular massively parallel simulator showed a reduction in the grain boundary energy with Al addition, assisting the system to reach a minimum energy state.
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Item Type: | Article | ||||||
Additional Information: | The authors gratefully acknowledge Tata Steel Limited, Jamshedpur, India, for providing the materials and funding for the research work. The EBSD data was acquired from a FEG-SEM procured through a DST-FIST grant (SR/FST/ETI-421/2016) . Esther Lentzen (LIST) is thanked for her technical assistance in NanoSIMS imaging. | ||||||
Uncontrolled Keywords: | Interstitial free steel,Texture Secondary ion mass spectrometry ,Molecular statics, simulation,Grain boundary energy | ||||||
Subjects: | Others > Metallurgy Materials Engineering > Materials engineering |
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Divisions: | Department of Material Science Engineering | ||||||
Depositing User: | . LibTrainee 2021 | ||||||
Date Deposited: | 13 Aug 2022 13:32 | ||||||
Last Modified: | 13 Aug 2022 13:32 | ||||||
URI: | http://raiithold.iith.ac.in/id/eprint/10171 | ||||||
Publisher URL: | http://doi.org/10.1016/j.scriptamat.2022.114858 | ||||||
OA policy: | https://v2.sherpa.ac.uk/id/publication/4703 | ||||||
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