Laser powder bed fusion (LPBF) is an additive manufacturing technology that allows the production of the component with complex geometry and excellent mechanical properties. So far, many process variables have been investigated to control the process and reach the best quality. One of the key factors that may affect the quality of the parts produced by the LPBF process is the type of powder that is the goal of this research. The work starts with producing two sets of cubic samples with different process parameters. The first set uses GA powder as feedstock material, while the second uses WA powder. The as-built parts are then characterised in terms of density and surface roughness. After selecting the optimal set of process parameters, tensile samples are produced and tested

Effect of powder atomising route on the surface quality and mechanical performance of AISI 316L samples produced via laser powder bed fusion process / Lannunziata, Erika; Zapparoli, Niccolò; Iuliano, Luca; Saboori, Abdollah. - ELETTRONICO. - 118:(2023), pp. 688-693. (Intervento presentato al convegno CIRP tenutosi a Ischia) [10.1016/j.procir.2023.06.118].

Effect of powder atomising route on the surface quality and mechanical performance of AISI 316L samples produced via laser powder bed fusion process

Lannunziata, Erika;Iuliano, Luca;Saboori, Abdollah
2023

Abstract

Laser powder bed fusion (LPBF) is an additive manufacturing technology that allows the production of the component with complex geometry and excellent mechanical properties. So far, many process variables have been investigated to control the process and reach the best quality. One of the key factors that may affect the quality of the parts produced by the LPBF process is the type of powder that is the goal of this research. The work starts with producing two sets of cubic samples with different process parameters. The first set uses GA powder as feedstock material, while the second uses WA powder. The as-built parts are then characterised in terms of density and surface roughness. After selecting the optimal set of process parameters, tensile samples are produced and tested
2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2980629