Correlative characterization to understand ferrite recrystallization in dual phase steels
Chavan Akash Naik (University of Hyderabad)
B. K.Sarath Kumar (International Advanced Research Centre for Powder Metallurgy and New Materials)
Harita Seekala (International Advanced Research Centre for Powder Metallurgy and New Materials)
S. Janakiram (University of Hyderabad)
LAI Kestens (Universiteit Gent, TU Delft - Team Maria Santofimia Navarro)
Jai Prakash Gautam (University of Hyderabad)
P. Sudharshan Phani (University of Hyderabad)
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Abstract
A systematic experimental study has been carried out to understand ferrite recrystallization during isothermal annealing just below Ac1 in dual phase steels. Three different dual phase microstructures – ferrite-pearlite (FP), ferrite-bainite (FB) and ferrite-martensite (FM) were produced with an identical chemical composition. These samples were subjected to 80 % cold work and subsequently annealed at 725 °C for different soaking durations. The complex interaction between ferrite and secondary constituent/phase during deformation lead to differences in strain partitioning which influenced the kinetics of ferrite recrystallization. The sample with ferrite-martensite (FM) microstructure exhibited faster recrystallization kinetics followed by ferrite-bainite (FB) and ferrite-pearlite (FP). The microstructure and associated hardness evolution starting from cold rolling to annealing for different durations was carefully captured with electron back scattered diffraction (EBSD) and high-speed nanoindentation mapping. Excellent one-to-one correlation between hardness and KAM was observed by coupling EBSD-KAM and nanoindentation mapping. The effect of the secondary constituent/phase on ferrite recrystallization is presented and differences in the recrystallization kinetics are reconciled by correlative characterization. This work lays a foundation to link microstructure to the local mechanical response in dual phase steels and can be gainfully used to characterize multiphase steels and ultimately fine tune the processing.
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