fig8

Boosting for concept design of casting aluminum alloys driven by combining computational thermodynamics and machine learning techniques

Figure 8. CALPHAD method aided the design of heat treatment process in aluminum alloys: (A) property diagram selected the solution heat treatment temperature of Al-0.82Si-0.55Mg-0.016Cu-0.5Mn-0.2Fe (in wt%) alloy; (B) DICTRA simulation the dissolution kinetics of Si particle in Al-0.8Si (in wt%) alloys at different temperatures; (C) TC-PRISMA simulated the precipitates of β” in aluminum alloy. Figure reproduced from Ref.[182] with permission from Elsevier.

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