Microstructure and temperature-dependent mechanical behavior of hot-rolled TRIP-assisted microalloyed steel
Materials Characterization, ISSN: 1044-5803, Vol: 186, Page: 111804
2022
- 7Citations
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
The effect of deformation temperature (in a temperature range −60 °C–140 °C) on the kinetics of strain-induced martensitic transformation in a hot-rolled multiphase Fe-0.24C-1.5Mn-0.87Si-0.4Al-Nb-Ti steel containing 15% of retained austenite was investigated. A complex microstructural analysis was performed using experimental techniques characterized by different resolutions: the scanning electron microscopy (SEM), electron backscatter diffraction (EBSD) and transmission electron microscopy (TEM). The analysis of the tendency of different morphology retained austenite to martensitic transformation was performed. The quantitative analysis of the temperature-dependent stability of γ phase was carried out using the XRD and EBSD methods. The thermodynamic model predicting the changes in the stability of retained austenite at different temperatures was developed based on experimental results. Obtained results showed that both the deformation temperature and morphology of retained austenite affect substantially the stability of retained austenite.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1044580322000869; http://dx.doi.org/10.1016/j.matchar.2022.111804; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85124964663&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S1044580322000869; https://dx.doi.org/10.1016/j.matchar.2022.111804
Elsevier BV
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