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Integrating physical metallurgy principles and machine learning for predicting continuous cooling phase transformations in steel

Figure 9. SHAP analysis of the effect of ΔGD on phase transformation temperature prediction. (A) Fs; (B) Ps; (C) Bs; (D) Ms; (E) Ff; (F) Pf; (G) Bf; (H) Mf. SHAP: SHapley Additive exPlanations; ΔGD: dislocation energy; Fs: ferrite transformation start temperature; Ps: pearlite transformation start temperature; Bs: bainite transformation start temperature; Ms: martensite transformation start temperature; Ff: ferrite transformation finish temperature; Pf: pearlite transformation finish temperature; Bf: bainite transformation finish temperature; Mf: martensite transformation finish temperature.

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