fig15

Development of robust surfaces for harsh service environments from the perspective of phase formation and transformation

Figure 15. (A) Solvus temperature (Tγ’-solvus) and (B) area fraction (Aγ’-area fraction) of γ’ phase in the Co-V-Ta alloy annealed at 800 °C for 600 h, as predicted using machine learning, with the γ and γ’ phase boundaries demarcated in the isothermal section of the Co-V-Ta system at 800 °C established using the CALPHAD approach. (C) Dark-field image and (D) selected area diffraction pattern obtained from the γ+γ’ region in the Co-V-Ta alloy annealed at 800 °C for 648 h. Figure reproduced from Ref.[83] with permission from Elsevier.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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