fig4

Machine learning-driven new paradigm for Co-based superalloys

Figure 4. ML-calculated multi-objective variable relationships for the Co-30Ni-Al-Ta quaternary alloy system at 800 °C. (A) γ′ Precipitate volume fraction; (B) Vickers hardness; (C) γ′ Solvus temperature; (D) Density; (E) Relationship diagram between phase transformation temperature lines and pseudo-ternary isothermal sections; (F) Comparison of alloy properties between experimental and calculated results[45]. ML: Machine learning.

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