| Project Detail |
Comprehensive modelling of additive manufacturing-produced titanium alloy implants
Titanium and its alloys are widely used for bone implants due to their high strength-to-weight ratio and biocompatibility. Customising these implants for individual patients could yield a step change in performance. Conventional post-processing methods can effectively alter metal alloy structure and properties. Combining these with additive manufacturing could lead to high-performance customised implants and reduce the need for revision surgery. With the support of the Marie Sklodowska-Curie Actions programme, the M3TiAM project will develop robust computational tools to predict the effect of post-processing treatments on microstructure and mechanical properties of additively manufactured scaffold structures for rational design of novel titanium-based implants.
Patient-customized bone replacement implants with (micro)structural and mechanical properties tuned by design would constitute a major advance in the biomedical field. Classical metallurgical post-processing (e.g. annealing or hot-isostatic-pressing) offer an efficient way to modify metallic alloys microstructure and resulting properties. Hence, the combination of titanium alloys, scaffold structures, and additive manufacturing open promising avenues to produce custom implants that mimic natural bones and thus reduce the need for revision surgery. Moreover, modelling tools across scales are mature enough to simulate microstructural evolution and its effect on material properties, which could accelerate the design of high-quality, high-fidelity, affordable implants. The aim of M3TiAM project is to develop robust computational tools to predict the effect of post-processing treatments on microstructure and mechanical properties of additively manufactured scaffolds structures, in order to guide the design of novel Ti-based implants. To do so, multidisciplinary and multiscale theories will be combined into i) a process-sensitive structural module using phase-field modelling to predict phase evolution of biocompatible Ti alloys and ii) a structure-scaffold geometry-sensitive mechanical performance module using crystal-plasticity (microscale) and finite element (macroscale) models to predict the mechanical behaviour of bulk material and scaffold structures. The resulting computational framework will guide the design and optimisation of novel metallic implants, from the level of their microstructure to that of entire scaffold-based implants. The expected impact include: new insight into process-microstructure-properties in metallic alloys, new multi-scale and multi-physics coupling and upscaling strategies, accelerated adoption and deployment of additive manufacturing of scaffold implants for personalized medicine. |
