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Multiphase alloys often exhibit superior performance relative to single-phase alloys due to synergistic interactions among their constituent phases. However, property mismatch between these phases can generate significant thermal stress during melt-based processing and under thermal cycling in service. Such stress may induce microcracking, ultimately leading to reduced mechanical performance. Thermal stress prediction in melt-based alloy processing remains challenging due to the limited availability of phase property data and the complexity of microstructures. In this study, a computational workflow integrating thermodynamic simulations, density functional theory (DFT) simulations, and finite element analysis (FEA) was developed to predict thermal stresses that develop during melt-based fabrication for a given alloy composition. The framework was applied to the Ni–Ni25Ti, Al–Al25Ti, and Al–Al33Cu systems, with samples fabricated via arc melting to validate the proposed local maximum principal stress (LMPS) model.
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Yang et al. (2026) studied this question.
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