RESONAM: Resonant-based material characterization for metal Additive Manufacturing (RESONAM)

The RESONAM project aims to study the variability in the quality of AM parts in relation to variations in the printing parameters and material conditions through the combined use of vibration techniques and material characterization techniques. In addition, new (non-linear) vibration techniques, coupled with learning algorithms, are being developed to predict AM material quality and understand the factors contributing to AM variability. A simulation model is being set up to create a virtual database that will be used in the learning algorithms, that enable the prediction of the quality of AM parts and provide insight into the process variability. The developed framework will lead to faster qualification of printing process parameters and to better AM material qualification.