Speaker
Description
Laser powder bed fusion (LPBF) is the most widely used additive manufacturing (AM) process to fabricate highly complex structures, holding a great potential for the manufacturing of safety-critical components in aerospace, energy, and automobiles. Energy densities (EDs) were often used to identify regions of the process-property map that give high consolidation in AM of alloys. Various EDs (such as linear, area and volumetric densities) were proposed on the basis of combining the processing parameters (scan speed, hatch distance and layer thickness). However, it has been shown that the combination of processing parameters into EDs poses significant loss of crucial information concerning the role of each individual parameter in the quality of builds. In addition, the use of ED does not reflect well the underlying mechanisms (including solidification) that are responsible for the properties (such as strength and ductility) of AM alloys. In this study, we assess the processability of a superalloy - Inconel718 that is widely used in aerospace and energy thanks to its excellent mechanical performance at high temperatures. We collected a significant amount of data reported in literature on LPBF Inconel718 and carried out a meaningful meta-analysis and parametric study to get deeper insights into the role of individual print parameters and ED on the consolidation, strength, and ductility. This meta-analysis study is used to evaluate the lost information in processability when combining the print parameters in an energy density, and to examine what process parameters (including scan strategy) can reflect the underlying mechanisms affecting the properties. On the basis of the meta-analysis combined with our own examination of consolidation, microstructure, and properties of LPBF Inconel 718, the study successfully identifies a window of LPBF processing map not only for high consolidation, but also for good combination of strength and ductility.
| Speaker Country | UK/Spain |
|---|