| Abstract Scope |
Inconel 718 is a precipitation-strengthened nickel–iron superalloy widely used in aerospace, energy, and nuclear applications up to 650–700 °C. However, its reported mechanical properties vary substantially because of differences in processing parameters, defect populations, phase evolution, and post-processing routes. Using machine learning-assisted analysis, this study establishes the processing–microstructure–property relationships of laser powder bed fused (LPBF) Inconel 718. The effects of major phases on yield strength (YS), ultimate tensile strength (UTS), elongation, and hardness are systematically compiled and analysed. The results show that peak mechanical properties are achieved under different conditions, indicating that no single processing route optimises all performance metrics. To quantify this trade-off, a weighted composite performance index is proposed, together with a recommended manufacturing and post-processing strategy for achieving balanced mechanical performance. |