| Abstract Scope |
Additive manufacturing (AM) enables the production of complex parts with tailored properties through microstructure control, offering benefits for aerospace, automotive, healthcare, and defence industries. However, the intricate physics of AM, influenced by numerous process parameters, poses challenges for predictability of part properties. To address this, process-structure-property (PSP) modelling has emerged as a powerful approach to understand and predict the relationships between manufacturing processes, microstructure evolution, and mechanical performance.
This research employs melt pool scale thermal simulations coupled with cellular automata to analyse microstructure evolution. Microstructural data, including grain morphology and crystallographic orientations, informs crystal plasticity finite element models. The effects of beam profiles, nucleation parameters, and process variables on microstructures and mechanical behaviour, including microlattice performance, are analysed. |