|About this Abstract
||MS&T21: Materials Science & Technology
||Additive Manufacturing of Metals: Equipment, Instrumentation and In-Situ Process Monitoring
||High-speed Observations and Quantification of Spatter in Laser Powder Bed Fusion
||Christian Gobert, Jack Beuth, Evan Diewald
|On-Site Speaker (Planned)
Mitigation of spatter is desired to improve material performance in laser powder bed fusion processes. Quantifying spatter particles ejected from the melt pool can shed light on the phenomenon. Using a machine learning identification and tracking tool, spatter particles were quantified in high-speed videos observations of the laser powder bed fusion process. Spatter generation related to key process variables and materials is studied in the aim of developing process map approach to mitigating spatter.