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In this paper, a state-of-the-art Artificial Intelligence (AI) technique is used for a precipitation hardenable Ni-based alloy to predict more flexible non-isothermal heat treatment and to examine the possible heat treatment routes for the enhancement in strength that may be practically achieved. Additionally, AI is used to integrate with Materials Integration by Network Technology, which is a computational workflow utilized to model the microstructure evolution and evaluate the 0.2% proof stress for isothermal heat treatment (IHT) and non-isothermal heat treatment (non-IHT). As a result, it is possible to find enhanced 0.2% proof stress for non-IHTs for a fixed time of 10 minutes compared to the IHT benchmark. The entire search space for heat treatment scheduling was ~ 3 billion. Out of 1620 non-IHTs, we succeeded in designing the 110 non-IHTs schedules that outperformed the IHT benchmark. Interestingly, it is found that early-stage high-temperature for a shorter time increases the γ' precipitate size up to the critical size and later heat treatment at lower temperature increases the γ' fraction with no anomalous change in γ' size. Therefore, employing this essence from AI, we designed a heat treatment route in which we attained an outperformed 0.2% proof stress to AI-designed non-IHT routes.

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In the present study, the influence of aging temperature on precipitation hardening in a non-equiatomic Al0.2Co1.5CrFeNi1.5Ti0.3 high-entropy alloy has been evaluated. The aging curves have been deduced for different aging temperatures (650, 750, and 850°C) as a function of time. The aging response was found to be markedly different with varying aging temperatures. A combined FESEM and transmission electron microscope studies have been performed to understand the evolution of precipitates and their characteristics with aging temperature and time. The variation of precipitate morphology, number density and size of precipitates with aging temperature were correlated with the age-hardening response. Additionally, the role of lattice misfit strain on precipitate morphology has been evaluated. GRAPHICAL ABSTRACT