|About this Abstract
||2021 TMS Annual Meeting & Exhibition
||Additive Manufacturing for Energy Applications III
||Defect Analysis in Selectively Laser Melted Parts via Surface Topography Characterization
||Qingyang Lu, Matteo Seita
|On-Site Speaker (Planned)
Lack-of-fusion or keyhole porosity defects are often difficult to eliminate completely from parts produced via selective laser melting because of the process intrinsic variability. In situ monitoring provides a valuable solution to infer the occurrence of such defects, in principle. In practice, however, the acquired signals do not provide first-hand information about the nature and location of such defects. We devise a new in situ monitoring technique that relies on the acquisition of optical images of both recoated powder layers and consolidated surfaces. Using specialized numerical image analysis, we produce a topographic map of each layer and use it to detect surface irregularities. By correlating the location of these features with porosities found in the builds via computed tomography, we propose a robust methodology for defect detection. Our technique offers the possibility of detecting defects in real time, shortening the time required for quality assurance of parts.
||Additive Manufacturing, Characterization,