The SMRG operates at the intersection of various disciplines, focusing primarily on welding, AM, and the production of nanostructured materials encompassing metals, ceramics, and composites. This multidisciplinary approach is supported by advanced microstructure characterization techniques, coupled with modelling endeavours aimed at bridging the nano to macroscale behaviour, thus establishing crucial properties/processing relationships. The materials of interest range from advanced metallic alloys to ceramics, and even extend to the preservation of cultural heritage assets.
Within the framework of TL1, the group distinguishes itself in the realm of modelling and simulation, harnessing multiscale, multiphysics simulations to forecast the effects of processing parameters on microstructure evolution and mechanical properties during welding and AM processes. Notably, the
group’s focus on recycling aligns with TL1 objectives, evident in recent endeavours such as the utilisation of waste fibreglass for composite fabrication via novel AM processes, as well as initiatives dedicated to the recovery and reintegration of waste ceramic materials.
The group is also contributing to TL2 via the development of more environmentally friendly AM processes, while also taking into consideration critical raw material substitution via the development of AI-powered thermodynamic modelling efforts.
Moreover, the group’s contributions to TL3 are noteworthy, particularly in pioneering the development of smart metallic materials, mainly shape memory alloys, and their adeptness in crafting functional graded metallic materials through various AM techniques. This proficiency facilitates the tailoring of site-specific properties in a controlled manner, positioning the SMRG as a frontrunner in arc-based processing of smart and functionally graded metallic materials. Thus, the group serves as a beacon within this research domain, advancing the frontier of materials science and engineering.
Campus da FCT Quinta da Torre
(+351) 21 294 8562
cenimat.secretariado@fct.unl.ptThis work is funded by national funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., under project UID/50025 and the Associated Laboratory I3N – LA/P/0037/2020.