30 September 2026 - Italy
PROGETTO HERMES - High-end Exploration of Resistance and Microstructure in EBM and SLM
DESCRIPTION
The HERMES project aims to advance the characterization of Ti6Al4V alloy for medical applications manufactured using Additive Manufacturing (AM) technologies, with a particular focus on Electron Beam Melting (EBM) and Selective Laser Melting (SLM) processes.
The project is structured around two complementary research streams. The first focuses on the study of the material's microstructure through the acquisition, organization, and quantitative analysis of data obtained from metallographic and advanced characterization techniques. The second investigates the fatigue behavior of the material through experimental testing campaigns under different loading conditions, manufacturing technologies and post-processing treatments.
To support these activities, the project will leverage advanced digital tools, data analysis models and Machine Learning techniques, creating a multidisciplinary framework that combines materials science, experimental testing and data-driven engineering.
GOAL
HERMES project seeks to establish a deeper understanding of the behavior of Ti6Al4V alloy produced through EBM and SLM additive manufacturing technologies.
Regarding the microstructural research stream, the project aims to overcome current qualitative approaches through the creation of a dedicated digital infrastructure for data collection and management, as well as the development of quantitative analysis methodologies supported by Machine Learning and Deep Learning algorithms. This approach will enable the identification of correlations between the manufacturing process, microstructure and material properties.
In parallel, the fatigue research stream seeks to deepen the understanding of the behavior of Ti6Al4V produced using different combinations of additive manufacturing technologies and post-processing treatments. This will be achieved through experimental testing campaigns, including uniaxial, bending and rotating bending fatigue tests. The resulting data will be used to develop predictive fatigue life models, which can be integrated into the design and simulation processes of orthopedic devices manufactured through AM.
RESULTS
The HERMES project will generate a comprehensive knowledge base linking process parameters, microstructural characteristics, post-processing conditions and fatigue performance of Ti6Al4V alloys manufactured through EBM and SLM technologies.
The project will deliver validated datasets, quantitative characterization methodologies and predictive models that can be used to evaluate material performance and support decision-making during product development. These outcomes will provide a stronger scientific foundation for the assessment and qualification of additively manufactured components.
By integrating experimental evidence with data-driven approaches, HERMES will contribute to advancing the design of next-generation orthopedic implants, promoting improved reliability, durability and safety in medical applications.
