The evolution of additive manufacturing draws a growing attention to the quality of the raw materials involved. During Powder Bed Fusion (PBF), impurities can be trapped by the melting action of the laser or electron beam followed by a rapid solidification, resulting in discontinuities of the sintered products where failure is likely to start. To increase the quality of the sintered parts, it is mandatory to minimize the presence of impurities in the final product and therefore the risk of failure under service. This result can be achieved by improving the quality of the raw metal powders, which plays a key role in the overall process. In this study, intentionally contaminated AM metal powders were characterized by coupling scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) techniques with a statistical treatment of the data, obtaining a reliable method for powder impurities detection.
Development of a reliable method for contamination detection in raw metal powders for additive manufacturing / Santecchia, E.; Mengucci, P.; Gatto, A.; Bassoli, E.; Denti, L.; Bondioli, F.; Barucca, G.. - ELETTRONICO. - Code 156875:(2020). (Intervento presentato al convegno European Powder Metallurgy Congress and Exhibition, Euro PM 2018 tenutosi a Bilbao Exhibition Centre (BEC), esp nel 2018).
Development of a reliable method for contamination detection in raw metal powders for additive manufacturing
Santecchia E.
;Mengucci P.;Barucca G.
2020-01-01
Abstract
The evolution of additive manufacturing draws a growing attention to the quality of the raw materials involved. During Powder Bed Fusion (PBF), impurities can be trapped by the melting action of the laser or electron beam followed by a rapid solidification, resulting in discontinuities of the sintered products where failure is likely to start. To increase the quality of the sintered parts, it is mandatory to minimize the presence of impurities in the final product and therefore the risk of failure under service. This result can be achieved by improving the quality of the raw metal powders, which plays a key role in the overall process. In this study, intentionally contaminated AM metal powders were characterized by coupling scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) techniques with a statistical treatment of the data, obtaining a reliable method for powder impurities detection.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
