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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Additive Manufacturing Modeling, Simulation and Artificial Intelligence
Presentation Title F-30: Influence of Inoculants on Aluminum Alloy Microstructure Evolution During Fast Solidification: A Computational Approach Under Laser Powder Bed Fusion Conditions
Author(s) Nour Eddine Riahi, Galindo-Nava Enrique, Sergio Gonzalez
On-Site Speaker (Planned) Nour Eddine Riahi
Abstract Scope A computational strategy for optimising inoculant-enhanced high-strength defect-free aluminium alloys tailored for laser powder bed fusion (LPBF) is presented. A multiphase field model, coupled with thermal and Thermodynamic modelling, is employed to investigate the effects of various inoculants on alloy solidification under LPBF-like conditions. The introduction of inoculants significantly enhances grain refinement, and variations in their characteristics demonstrate both major and minor impacts on microstructural evolution. Effect of process parameters for LPBF on microstructure evolution are also explored to define a suitable process window, ensuring defect-free solidification by avoiding parameter regimes prone to solidification-related defects. A comprehensive, grain size-dependent model was developed to estimate alloy’s mechanical properties by incorporating mechanisms of grain refinement, precipitation hardening, and strain hardening. The model, utilising grain size data from phase-field simulations, accurately predicts grain size and corresponding mechanical properties, showing strong agreement with literature results and validating the predictive capability of the proposed approach.
Proceedings Inclusion? Planned:
Keywords Additive Manufacturing, Aluminum, Solidification

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